Pub Date : 2023-03-01DOI: 10.18137/cardiometry.2023.26.707711
U. Govindaraj, K. Karpagam, S. Kalabarathi
Background: In the hospital, sickness severity and worsening were predicted using the Modified Early Warning Score (MEWS). The MEWS makes it possible to detect patient deterioration early, take prompt treatment, and consistently gauge the seriousness of a disease. Objectives: To assess the Modified Early Warning Score (MEWS) in predicting critical care unit admission among emergency department patients. Methodology: Research approach: quantitative approach, descriptive research design was used for 60 samples by convenience sampling techniques. Modified Early Warning Score (MEWS) tool was used to predict critical care admission in emergency department. Result: out of 60 samples, 30(50%) had medium score which infers that key threshold urgent response in critical care unit admission, 16(26.7%) had low score which interprets ward based admission and 14(23.3%) had high score which interprets urgent (or) emergency response admission. Regarding critical care admission in emergency department patients the demographic variables age, education and clinical variable in mechanical ventilator support had shown statistically significant association with Modified Early Warning Score in predicting critical care unit admission among patients in emergency department at p
{"title":"Assess the Modified Early Warning Score (MEWS) in Predicting Critical Care Unit Admission Among Patient in Emergency Department at Saveetha Medical College and Hospital, Thandalam","authors":"U. Govindaraj, K. Karpagam, S. Kalabarathi","doi":"10.18137/cardiometry.2023.26.707711","DOIUrl":"https://doi.org/10.18137/cardiometry.2023.26.707711","url":null,"abstract":"Background: In the hospital, sickness severity and worsening were predicted using the Modified Early Warning Score (MEWS). The MEWS makes it possible to detect patient deterioration early, take prompt treatment, and consistently gauge the seriousness of a disease. Objectives: To assess the Modified Early Warning Score (MEWS) in predicting critical care unit admission among emergency department patients. Methodology: Research approach: quantitative approach, descriptive research design was used for 60 samples by convenience sampling techniques. Modified Early Warning Score (MEWS) tool was used to predict critical care admission in emergency department. Result: out of 60 samples, 30(50%) had medium score which infers that key threshold urgent response in critical care unit admission, 16(26.7%) had low score which interprets ward based admission and 14(23.3%) had high score which interprets urgent (or) emergency response admission. Regarding critical care admission in emergency department patients the demographic variables age, education and clinical variable in mechanical ventilator support had shown statistically significant association with Modified Early Warning Score in predicting critical care unit admission among patients in emergency department at p","PeriodicalId":41726,"journal":{"name":"Cardiometry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43474321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.18137/cardiometry.2023.26.737741
M. Praveenraj, S. Kalabarathi, M. Minolin
Background: Capnography is an essential instrument for tracking metabolic and respiratory activity. According to the the ETCO2 level to predict metabolic acidosis with patient with mechanical ventilation admitted in ICU. Purpose: The purpose of current study was to predict the metabolic acidosis among patient on mechanical ventilator support. Materials and methods; A study was descriptive-analytical study design, was conducted in the host institution of Saveetha Medical College and Hospitals. There were 60 samples in ICU using purposive sampling techniques on the inclusion criteria within 24 hours of admission. In ICU collect data from every intubated patient with mechanical ventilator support along with ETCO2 probe connecting to the Endotracheal tube, Monitoring capnography values and comparison with the ABG values to predict metabolic acidosis. Results: Out of 60 samples with respect to capnography with EtCO2 the mean score of Bicarbonate level among patients with metabolic acidosis was 21.97±3.37 and the mean score of ETCO2 was 44.70±7.24. The calculated Karl Pearson’s Correlation value of r = -0.303 shows a negative correlation which was found to be statistically significant at p
{"title":"A Study to Correlate the ETCO2 and ABG in Predicting Metabolic Acidosis Among Patient on Mechanical Ventilation in Intensive Care Unit","authors":"M. Praveenraj, S. Kalabarathi, M. Minolin","doi":"10.18137/cardiometry.2023.26.737741","DOIUrl":"https://doi.org/10.18137/cardiometry.2023.26.737741","url":null,"abstract":"Background: Capnography is an essential instrument for tracking metabolic and respiratory activity. According to the the ETCO2 level to predict metabolic acidosis with patient with mechanical ventilation admitted in ICU. Purpose: The purpose of current study was to predict the metabolic acidosis among patient on mechanical ventilator support. Materials and methods; A study was descriptive-analytical study design, was conducted in the host institution of Saveetha Medical College and Hospitals. There were 60 samples in ICU using purposive sampling techniques on the inclusion criteria within 24 hours of admission. In ICU collect data from every intubated patient with mechanical ventilator support along with ETCO2 probe connecting to the Endotracheal tube, Monitoring capnography values and comparison with the ABG values to predict metabolic acidosis. Results: Out of 60 samples with respect to capnography with EtCO2 the mean score of Bicarbonate level among patients with metabolic acidosis was 21.97±3.37 and the mean score of ETCO2 was 44.70±7.24. The calculated Karl Pearson’s Correlation value of r = -0.303 shows a negative correlation which was found to be statistically significant at p","PeriodicalId":41726,"journal":{"name":"Cardiometry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42196896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.18137/cardiometry.2023.26.315321
A. Kotia, M. Rastogi, R. A. Bhongade
One of the most important problems now affecting the globe is heart disease. A significant problem in the field of clinical knowledge analysis might be disorder prediction. Many medical conditions can be identified, detected and predicted using machine learning. This study uses machine learning methods and Python programming to study heart disease prediction. Heart disease has become a prevalent and fatal condition in the last few years due to the suppression of fat. Excessive pressure in the human body causes this disease to develop. Using multiple features from the dataset, researchers can predict heart disease. To assess patient performance, a dataset consisting of 12 parameters as well as 70000 unique data values was used. The main goal of this study is to increase the accuracy of heart disease detection by using algorithms where the target output determines whether the subject has heart disease. This study provides the base for future heart disease prediction by using the machine learning method.
{"title":"Use of machine learning techniques for effective prediction of heart disease","authors":"A. Kotia, M. Rastogi, R. A. Bhongade","doi":"10.18137/cardiometry.2023.26.315321","DOIUrl":"https://doi.org/10.18137/cardiometry.2023.26.315321","url":null,"abstract":"One of the most important problems now affecting the globe is heart disease. A significant problem in the field of clinical knowledge analysis might be disorder prediction. Many medical conditions can be identified, detected and predicted using machine learning. This study uses machine learning methods and Python programming to study heart disease prediction. Heart disease has become a prevalent and fatal condition in the last few years due to the suppression of fat. Excessive pressure in the human body causes this disease to develop. Using multiple features from the dataset, researchers can predict heart disease. To assess patient performance, a dataset consisting of 12 parameters as well as 70000 unique data values was used. The main goal of this study is to increase the accuracy of heart disease detection by using algorithms where the target output determines whether the subject has heart disease. This study provides the base for future heart disease prediction by using the machine learning method.","PeriodicalId":41726,"journal":{"name":"Cardiometry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67692848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.18137/cardiometry.2023.26.248255
T. H. Hussein, Alaauldeen S. M. Al-Sallami
Nanotechnology in the treatment of diseases is considered one of the prominent techniques for obtaining safe and effective medicines and treatments at the same time. The aim of the research is to know the synergistic therapeutic effect of liponanocortisone in improving arthritis in rats. Fifteen rats were used in this experiment, divided into three groups (five rats per group), the first group was injected with Normal Saline (as a control group), the second group induced arthritis, it was injected with FIA for a week, the third group, after a week elapsed for the development of arthritis, this was injected The group took liponanocortisone for a week as well. The results of the current study showed significant changes in the percentage of lymphocytes, monocytes and platelets in the third group, compared with the control group and the arthritis group. This study revealed that patients with joint pain who develop arthritis show a change in cellular immune parameters that appear in the periphery, starting with a decrease in lymphocytes with an increase in the percentage of monocytes and platelets, meaning that there is a synergistic association between monocytes and Platelets leading to arthritis. The current study also indicated the efficiency of the therapeutic compound in inhibiting this association between monocytes and platelets by disabling this association and raising the percentage of lymphocytes and increasing their association with platelets to act as an anti-arthritis.
{"title":"The inhibitory and synergistic role of liponanocortisone on monocytes, lymphocytes, and platelets in male rats with arthritis","authors":"T. H. Hussein, Alaauldeen S. M. Al-Sallami","doi":"10.18137/cardiometry.2023.26.248255","DOIUrl":"https://doi.org/10.18137/cardiometry.2023.26.248255","url":null,"abstract":"Nanotechnology in the treatment of diseases is considered one of the prominent techniques for obtaining safe and effective medicines and treatments at the same time. The aim of the research is to know the synergistic therapeutic effect of liponanocortisone in improving arthritis in rats. Fifteen rats were used in this experiment, divided into three groups (five rats per group), the first group was injected with Normal Saline (as a control group), the second group induced arthritis, it was injected with FIA for a week, the third group, after a week elapsed for the development of arthritis, this was injected The group took liponanocortisone for a week as well. The results of the current study showed significant changes in the percentage of lymphocytes, monocytes and platelets in the third group, compared with the control group and the arthritis group. This study revealed that patients with joint pain who develop arthritis show a change in cellular immune parameters that appear in the periphery, starting with a decrease in lymphocytes with an increase in the percentage of monocytes and platelets, meaning that there is a synergistic association between monocytes and Platelets leading to arthritis. The current study also indicated the efficiency of the therapeutic compound in inhibiting this association between monocytes and platelets by disabling this association and raising the percentage of lymphocytes and increasing their association with platelets to act as an anti-arthritis.","PeriodicalId":41726,"journal":{"name":"Cardiometry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45064504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.18137/cardiometry.2023.26.242247
Z. S. Mahmod, H. Jaffat
Background: Thyroid diseases may be complicated by anti-thyroglobin and anti-thyroid peroxidase antibodies. Objective: This research examined thyroid diseases and serum Anti-TPO Ab and Anti-Tg Ab levels. Methods: Al-Fadel foundation for training and development (research foundation) in Babylon province conducted this cross-sectional study. The research comprised 90 patients aged 15–45, separated into three groups: 60 patients with thyriodism, 30 healthy participants as a control group, and all patients (n=60) into two groups: hypothyroidism and hyperthyroidism. Results: Hyperthyroidism and hypothyroidism patients and healthy controls had similar mean Anti TPO levels. Compared to healthy controls, hypothyroidism and hyperthyroidism patient groups increased significantly. Hypothyroidism and hyperthyroidism patients had higher Anti Tg levels than the health control group. Conclusion: Anti-TOP Ab and Anti-Tg Ab vary significantly between Hyperthyroidism, Hypothyroidism, and control. Clinical labs should evaluate thyroidism patients for potential consequences using these biomarkers.
{"title":"The assessment of immunological parameters (Anti- Thyroid peroxidase antibody and Anti-Thyroglobin antibody) in premenopausal thyroid women patients","authors":"Z. S. Mahmod, H. Jaffat","doi":"10.18137/cardiometry.2023.26.242247","DOIUrl":"https://doi.org/10.18137/cardiometry.2023.26.242247","url":null,"abstract":"Background: Thyroid diseases may be complicated by anti-thyroglobin and anti-thyroid peroxidase antibodies. Objective: This research examined thyroid diseases and serum Anti-TPO Ab and Anti-Tg Ab levels. Methods: Al-Fadel foundation for training and development (research foundation) in Babylon province conducted this cross-sectional study. The research comprised 90 patients aged 15–45, separated into three groups: 60 patients with thyriodism, 30 healthy participants as a control group, and all patients (n=60) into two groups: hypothyroidism and hyperthyroidism. Results: Hyperthyroidism and hypothyroidism patients and healthy controls had similar mean Anti TPO levels. Compared to healthy controls, hypothyroidism and hyperthyroidism patient groups increased significantly. Hypothyroidism and hyperthyroidism patients had higher Anti Tg levels than the health control group. Conclusion: Anti-TOP Ab and Anti-Tg Ab vary significantly between Hyperthyroidism, Hypothyroidism, and control. Clinical labs should evaluate thyroidism patients for potential consequences using these biomarkers.","PeriodicalId":41726,"journal":{"name":"Cardiometry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49665686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.18137/cardiometry.2023.26.491498
R. Senkamalavalli, M. B. Sahaai, V. V. Lakshmi, A. Kanchana, N.S. Rajulu
Cervical cancer is a type of cancer that occurs in the cells of the cervix. Cervix is the lower part of the uterus that connects to the vagina. It arises due to the abnormal growth of cells and spreads to other parts of the body. Smoking is also considered as one of the main causes for cervical cancer. Long term use of Oral contraceptive pills can also cause cancer. Also having multiple pregnancies can cause cervical cancer. Cervical cancer often has no symptoms in its early stages. It is fatal most of the time. The most common symptom is unusual vaginal bleeding. Here the machine learning algorithms are used to predict the occurrence of cervical cancer. Predicting the presence of cervical cancer can help the diagnosis process to start at an earlier stage.
{"title":"Machine Learning Applied To Cervical Cancer Data","authors":"R. Senkamalavalli, M. B. Sahaai, V. V. Lakshmi, A. Kanchana, N.S. Rajulu","doi":"10.18137/cardiometry.2023.26.491498","DOIUrl":"https://doi.org/10.18137/cardiometry.2023.26.491498","url":null,"abstract":"Cervical cancer is a type of cancer that occurs in the cells of the cervix. Cervix is the lower part of the uterus that connects to the vagina. It arises due to the abnormal growth of cells and spreads to other parts of the body. Smoking is also considered as one of the main causes for cervical cancer. Long term use of Oral contraceptive pills can also cause cancer. Also having multiple pregnancies can cause cervical cancer. Cervical cancer often has no symptoms in its early stages. It is fatal most of the time. The most common symptom is unusual vaginal bleeding. Here the machine learning algorithms are used to predict the occurrence of cervical cancer. Predicting the presence of cervical cancer can help the diagnosis process to start at an earlier stage.","PeriodicalId":41726,"journal":{"name":"Cardiometry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49462494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.18137/cardiometry.2023.26.821825
J. B. Algburi, F. Sharba, M. M. Taher, B.F. Neamah, Mohammed Jawad Salih Al‐Haidarey
Celery is one of the most important table plants in the world, this plant tends to collect many minerals from the surrounding environment, and one of these minerals is lead and chrome, which they considered toxic metals if they accumulate in this plant and accordingly three different areas were chosen for the cultivation of this plant. It was divided into areas contaminated with lead and chromium, which were close to the cement factory street and Bahr al-Najaf area polluted with sewage water and its air polluted by the smoke of bricks. The celery leaves and the soil planted in this sites were collected in December of the year 2020, for three replicates from each region, they were digested and the concentration of lead and chromium were detected. The results showed that the concentration of studied elements in the soil and plants of Bahr Al-Najaf < Al Ma’mal Street < Al Bu Hadari, and this difference was significant (< 0.05). Also, the results showed that the biological concentration of these elements were large in Bahr Al-Najaf area compared to Al-Ma'mal Street and Al-Bu Hadari area. Accordingly, the study recommends not to plant crops in polluted areas and the necessity of chalking the concentration of these elements of the soil and the surrounding environments of the plants before starting cultivation.
芹菜是世界上最重要的餐桌植物之一，这种植物倾向于从周围环境中收集许多矿物质，其中一种矿物质是铅和铬，如果它们在这种植物中积累，他们就会认为这是有毒的金属，因此选择了三个不同的区域来种植这种植物。它被划分为铅和铬污染地区，这些地区靠近水泥厂街和Bahr al-Najaf地区，这些地区被污水污染，空气被砖块的烟雾污染。于2020年12月采集该试验点种植的芹菜叶片和土壤，每个试验区分3个重复消化，检测土壤中铅、铬的浓度。结果表明:Bahr Al- najaf < Al Ma 'mal Street < Al Bu Hadari土壤和植物中所研究元素的浓度差异显著(< 0.05);结果还表明，与Al-Ma'mal街和Al-Bu Hadari地区相比，Bahr Al-Najaf地区这些元素的生物浓度较大。因此，该研究建议不要在污染地区种植作物，并建议在开始种植之前，必须用粉笔记录土壤和植物周围环境中这些元素的浓度。
{"title":"Bioaccumulation of lead and Chrome in Celery plant (Apium graveolens L.)","authors":"J. B. Algburi, F. Sharba, M. M. Taher, B.F. Neamah, Mohammed Jawad Salih Al‐Haidarey","doi":"10.18137/cardiometry.2023.26.821825","DOIUrl":"https://doi.org/10.18137/cardiometry.2023.26.821825","url":null,"abstract":"Celery is one of the most important table plants in the world, this plant tends to collect many minerals from the surrounding environment, and one of these minerals is lead and chrome, which they considered toxic metals if they accumulate in this plant and accordingly three different areas were chosen for the cultivation of this plant. It was divided into areas contaminated with lead and chromium, which were close to the cement factory street and Bahr al-Najaf area polluted with sewage water and its air polluted by the smoke of bricks. The celery leaves and the soil planted in this sites were collected in December of the year 2020, for three replicates from each region, they were digested and the concentration of lead and chromium were detected. The results showed that the concentration of studied elements in the soil and plants of Bahr Al-Najaf < Al Ma’mal Street < Al Bu Hadari, and this difference was significant (< 0.05). Also, the results showed that the biological concentration of these elements were large in Bahr Al-Najaf area compared to Al-Ma'mal Street and Al-Bu Hadari area. Accordingly, the study recommends not to plant crops in polluted areas and the necessity of chalking the concentration of these elements of the soil and the surrounding environments of the plants before starting cultivation.","PeriodicalId":41726,"journal":{"name":"Cardiometry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43546945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.18137/cardiometry.2023.26.872878
R. Varshney, S. Singh, D. K. Harkawat
Background: Large randomized clinical trials to evaluate analgesic treatments in pediatric surgery patients are challenging to undertake. Regional anesthetic improves postoperative pain in adults, but its benefits on pediatric patients are unclear. Objective: This study examined regional anesthesia’s effectiveness in reducing postoperative pain. The research on the impact of regional anaesthetic on postoperative pain in paediatric surgical patients was searched extensively. Methods: 2,408 pediatric patients from 10 trials were examined. The majority of the publications written between 2013 and 2017 claimed that using regional anesthetics decreased the need for opioids and lessened postoperative pain. A small number of surgical operations did not significantly vary from normal anesthetic administration in terms of postoperative pain relief. Result: For numerous surgical operations (craniectomy, ophthalmologic surgery, otologic surgery, and heart surgery) on children, better regional anesthesia techniques are needed to reduce postoperative pain. In terms of pain, the Trial group's statistically decreased mean values were discovered (p
{"title":"Effectiveness of a new regional anesthetic mixture on pain control after pediatric heart surgery: a systematic randomized trial","authors":"R. Varshney, S. Singh, D. K. Harkawat","doi":"10.18137/cardiometry.2023.26.872878","DOIUrl":"https://doi.org/10.18137/cardiometry.2023.26.872878","url":null,"abstract":"Background: Large randomized clinical trials to evaluate analgesic treatments in pediatric surgery patients are challenging to undertake. Regional anesthetic improves postoperative pain in adults, but its benefits on pediatric patients are unclear. Objective: This study examined regional anesthesia’s effectiveness in reducing postoperative pain. The research on the impact of regional anaesthetic on postoperative pain in paediatric surgical patients was searched extensively. Methods: 2,408 pediatric patients from 10 trials were examined. The majority of the publications written between 2013 and 2017 claimed that using regional anesthetics decreased the need for opioids and lessened postoperative pain. A small number of surgical operations did not significantly vary from normal anesthetic administration in terms of postoperative pain relief. Result: For numerous surgical operations (craniectomy, ophthalmologic surgery, otologic surgery, and heart surgery) on children, better regional anesthesia techniques are needed to reduce postoperative pain. In terms of pain, the Trial group's statistically decreased mean values were discovered (p","PeriodicalId":41726,"journal":{"name":"Cardiometry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45980065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.18137/cardiometry.2023.26.614617
V. Sharmila, P. Ezhumalai
Life span of an average person at present is 60 to 75 years but lot of people are expiring due to accidents or because of the health issues they have. One of the main health issues that people are experiencing is skin cancer, it will give only five-year life to the people who are suffering from skin cancer. 5 years’ life we can’t live at our satisfaction people also need regular diagnosis to make their five years of life. Not every person dying because of the skin cancer, only the person who are unaware of their situation are one facing serious problems, so to overcome this problem we are making a machine learning model that makes use of pictures to predict the actual problem of the person.
{"title":"Optimized Prediction of Melanoma Using Machine Learning","authors":"V. Sharmila, P. Ezhumalai","doi":"10.18137/cardiometry.2023.26.614617","DOIUrl":"https://doi.org/10.18137/cardiometry.2023.26.614617","url":null,"abstract":"Life span of an average person at present is 60 to 75 years but lot of people are expiring due to accidents or because of the health issues they have. One of the main health issues that people are experiencing is skin cancer, it will give only five-year life to the people who are suffering from skin cancer. 5 years’ life we can’t live at our satisfaction people also need regular diagnosis to make their five years of life. Not every person dying because of the skin cancer, only the person who are unaware of their situation are one facing serious problems, so to overcome this problem we are making a machine learning model that makes use of pictures to predict the actual problem of the person.","PeriodicalId":41726,"journal":{"name":"Cardiometry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46099291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.18137/cardiometry.2023.26.544549
K. Sankar, A. Kalaiyarasan, D. Sasikala, S. Selvarasu, J. Rangarajan, J. Kirubakaran, R. Vijayakumar
Bones are living tissues made of calcium and phosphorus among other elements. In the early years, they replenish themselves and expand quickly. The bone is viewed as a homogenous, isotropic, linear-elastic material. The foundation of the human skeleton are the bones. It aids in supporting the body's softer areas. Trauma is a significant factor in both industrialised and developing nations in terms of mortality and disability. According to the World Health Organization (WHO), trauma will account for the majority of years of life lost in both developed and developing countries by the year 2020. One of the frequent traumas is a bone fracture. Using bone plates to connect the fractured bone is one way to treat the broken bone. This study compares bone plates constructed of several biomaterials (Stainless Steel, Titanium, Alumina, Nylon, and PMMA) to determine which one is the best. SOLIDWORKS is used to model the femur bone, while ANSYS is used for analysis. Also modelled, attached to a fractured bone, and examined are the fracture fixation plates.
{"title":"Finite element analysis of fractured femur bone with prosthetic bone plates using ANSYS software","authors":"K. Sankar, A. Kalaiyarasan, D. Sasikala, S. Selvarasu, J. Rangarajan, J. Kirubakaran, R. Vijayakumar","doi":"10.18137/cardiometry.2023.26.544549","DOIUrl":"https://doi.org/10.18137/cardiometry.2023.26.544549","url":null,"abstract":"Bones are living tissues made of calcium and phosphorus among other elements. In the early years, they replenish themselves and expand quickly. The bone is viewed as a homogenous, isotropic, linear-elastic material. The foundation of the human skeleton are the bones. It aids in supporting the body's softer areas. Trauma is a significant factor in both industrialised and developing nations in terms of mortality and disability. According to the World Health Organization (WHO), trauma will account for the majority of years of life lost in both developed and developing countries by the year 2020. One of the frequent traumas is a bone fracture. Using bone plates to connect the fractured bone is one way to treat the broken bone. This study compares bone plates constructed of several biomaterials (Stainless Steel, Titanium, Alumina, Nylon, and PMMA) to determine which one is the best. SOLIDWORKS is used to model the femur bone, while ANSYS is used for analysis. Also modelled, attached to a fractured bone, and examined are the fracture fixation plates.","PeriodicalId":41726,"journal":{"name":"Cardiometry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48201068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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