Pub Date : 2022-08-24DOI: 10.29322/ijsrp.12.08.2022.p12859
Rezky Rachmadany Rachman, S. Dewang, S. Astuty, E. Juarlin
- Covid-19 is a virus that has spread and become a global pandemic. This virus infected the vital human organ, which is the lungs. Therefore, this research identified Covid-19 and non-covid-19 diseases based on chest CT-Scan images using K-NN and Naïve Bayes classification methods. The system is constructed through pre-processing, segmentation, GLCM-based feature extraction, and dividing the testing and training data with K-fold cross-validation with the value of 5 and 10, then evaluated using Confusion Matrix. The algorithm accuracy value from the K-NN classification model is obtained as 99,6% and Naïve Bayes got the value of 93,5%. In comparison, the K-NN method obtained the highest sensitivity level with a value of 100% and a specificity value of 98.4% for the two methods used. In this test, the K-NN classifier method is more appropriate than the Naïve Bayes method because some features of GLCM
{"title":"Covid-19 Detection on Chest CT-Scan Image Using GLCM-Based Feature Extraction with K-NN and Naïve Bayes Classification","authors":"Rezky Rachmadany Rachman, S. Dewang, S. Astuty, E. Juarlin","doi":"10.29322/ijsrp.12.08.2022.p12859","DOIUrl":"https://doi.org/10.29322/ijsrp.12.08.2022.p12859","url":null,"abstract":"- Covid-19 is a virus that has spread and become a global pandemic. This virus infected the vital human organ, which is the lungs. Therefore, this research identified Covid-19 and non-covid-19 diseases based on chest CT-Scan images using K-NN and Naïve Bayes classification methods. The system is constructed through pre-processing, segmentation, GLCM-based feature extraction, and dividing the testing and training data with K-fold cross-validation with the value of 5 and 10, then evaluated using Confusion Matrix. The algorithm accuracy value from the K-NN classification model is obtained as 99,6% and Naïve Bayes got the value of 93,5%. In comparison, the K-NN method obtained the highest sensitivity level with a value of 100% and a specificity value of 98.4% for the two methods used. In this test, the K-NN classifier method is more appropriate than the Naïve Bayes method because some features of GLCM","PeriodicalId":14290,"journal":{"name":"International Journal of Scientific and Research Publications (IJSRP)","volume":"474 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83213376","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 : 2022-08-24DOI: 10.29322/ijsrp.12.08.2022.p12849
B. P, John B Dominic, Juby Ann
Introduction: Gestational Diabetes Mellitus is defined as glucose intolerance that is first recognized during pregnancy. This is associated with increased risk for adverse perinatal outcomes as well as long term complications of obesity and type 2 diabetes mellitus in mother and their children. The aim of this study was to identify the risk factors for Gestational diabetes mellitus. Methodology: Study design: Prospective nested case control study Sample size:With an estimated Odds ratio of 2 for risk factors, we need 100 GDM and 200 controls and with an estimate of 10% as GDM, we recruited a sample of 1000 Primigravidae patients attending the Out Patient Clinic at SAT Hospital, in the first trimester followed up and grouped into cases and controls depending on the GTT results. Results: One thousand Primigravids were recruited and followed up. 960 patients were followed up till delivery and data collected; 240 developed gestational diabetes mellitus (cases ) and the remaining 720 were taken as controls. The mean age of the study population 23.39yrs and that of the cases were 24.68yrs and that of the controls were 22.96yrs with significant difference. The place of residence urban or rural, the educational status or the socioeconomic status did not
{"title":"Pre pregnant weight a risk factor for Gestational Diabetes Mellitus","authors":"B. P, John B Dominic, Juby Ann","doi":"10.29322/ijsrp.12.08.2022.p12849","DOIUrl":"https://doi.org/10.29322/ijsrp.12.08.2022.p12849","url":null,"abstract":"Introduction: Gestational Diabetes Mellitus is defined as glucose intolerance that is first recognized during pregnancy. This is associated with increased risk for adverse perinatal outcomes as well as long term complications of obesity and type 2 diabetes mellitus in mother and their children. The aim of this study was to identify the risk factors for Gestational diabetes mellitus. Methodology: Study design: Prospective nested case control study Sample size:With an estimated Odds ratio of 2 for risk factors, we need 100 GDM and 200 controls and with an estimate of 10% as GDM, we recruited a sample of 1000 Primigravidae patients attending the Out Patient Clinic at SAT Hospital, in the first trimester followed up and grouped into cases and controls depending on the GTT results. Results: One thousand Primigravids were recruited and followed up. 960 patients were followed up till delivery and data collected; 240 developed gestational diabetes mellitus (cases ) and the remaining 720 were taken as controls. The mean age of the study population 23.39yrs and that of the cases were 24.68yrs and that of the controls were 22.96yrs with significant difference. The place of residence urban or rural, the educational status or the socioeconomic status did not","PeriodicalId":14290,"journal":{"name":"International Journal of Scientific and Research Publications (IJSRP)","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80680713","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 : 2022-08-24DOI: 10.29322/ijsrp.12.08.2022.p12845
A. Ibrahim, Daryanto Hesti Wibowo
- Compliance in calculating and paying taxes owed, and compliance with payments that need to be socialized continuously to fulfill tax obligations in accordance with applicable rules and regulations . The moral obligation of the taxpayer means that the taxpayer is aware of his tax obligations and arises a feeling of responsibility and is voluntary to pay off his tax obligations. Good service quality from officers raises the intention of taxpayers to pay taxes and affects taxpayer compliance. Tax sanctions are a preventive tool so that taxpayers do not violate tax norms, so that taxpayers become more obedient to existing rules. The purpose of this study is to partially and simultaneously examine the effect of moral obligation, service quality, and tax sanctions on taxpayer compliance at the Pare- Pare Tax Service Office. The novelty of this study compared to previous research looks at internal factors (moral obligations) and external (quality of service and tax sanctions) that affect taxpayer compliance at the Pare Pare Tax Service Office. This research approach uses a quantitative approach. The data collection technique was carried out using a questionnaire method distributed through google form and the sample was determined by the Slovin formula so that the total respondents were 99. The data analysis technique used in this study was multiple linear regression analysis. The conclusion of the study shows: 1) moral obligation has a positive and significant effect on taxpayer compliance, 2) service quality has
{"title":"The Effect Of Moral Obligation, Quality Of Service, And Tax Sanctions On Taxpayer Compliance","authors":"A. Ibrahim, Daryanto Hesti Wibowo","doi":"10.29322/ijsrp.12.08.2022.p12845","DOIUrl":"https://doi.org/10.29322/ijsrp.12.08.2022.p12845","url":null,"abstract":"- Compliance in calculating and paying taxes owed, and compliance with payments that need to be socialized continuously to fulfill tax obligations in accordance with applicable rules and regulations . The moral obligation of the taxpayer means that the taxpayer is aware of his tax obligations and arises a feeling of responsibility and is voluntary to pay off his tax obligations. Good service quality from officers raises the intention of taxpayers to pay taxes and affects taxpayer compliance. Tax sanctions are a preventive tool so that taxpayers do not violate tax norms, so that taxpayers become more obedient to existing rules. The purpose of this study is to partially and simultaneously examine the effect of moral obligation, service quality, and tax sanctions on taxpayer compliance at the Pare- Pare Tax Service Office. The novelty of this study compared to previous research looks at internal factors (moral obligations) and external (quality of service and tax sanctions) that affect taxpayer compliance at the Pare Pare Tax Service Office. This research approach uses a quantitative approach. The data collection technique was carried out using a questionnaire method distributed through google form and the sample was determined by the Slovin formula so that the total respondents were 99. The data analysis technique used in this study was multiple linear regression analysis. The conclusion of the study shows: 1) moral obligation has a positive and significant effect on taxpayer compliance, 2) service quality has","PeriodicalId":14290,"journal":{"name":"International Journal of Scientific and Research Publications (IJSRP)","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91328380","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 : 2022-08-24DOI: 10.29322/ijsrp.12.08.2022.p12847
D. Akmal, J. ., Febriyenti ., Salman .
Research has been carried out on coating conventional NPK fertilizers using Polypropylene + Polycaprolactone bioblend polymer by spray method with concentrations of 0.1%, 0.2%, 0.4%, 0.6%, 0.8% and 1%. The percentage of coating and coating efficiency are 10.65% and 91.02%, respectively; 11.76% and 91.30%; 13.89% and 92.72%; 15.58% and 93.51%, 17.96% and 94.62%; 9.36% and 87.75 %.
{"title":"Preparation and Properties of Polypropylene/Polycaprolactone Blends Coated NPK Compound Fertilizer With Controlled-Release And Water-Retention On Some Application Media","authors":"D. Akmal, J. ., Febriyenti ., Salman .","doi":"10.29322/ijsrp.12.08.2022.p12847","DOIUrl":"https://doi.org/10.29322/ijsrp.12.08.2022.p12847","url":null,"abstract":"Research has been carried out on coating conventional NPK fertilizers using Polypropylene + Polycaprolactone bioblend polymer by spray method with concentrations of 0.1%, 0.2%, 0.4%, 0.6%, 0.8% and 1%. The percentage of coating and coating efficiency are 10.65% and 91.02%, respectively; 11.76% and 91.30%; 13.89% and 92.72%; 15.58% and 93.51%, 17.96% and 94.62%; 9.36% and 87.75 %.","PeriodicalId":14290,"journal":{"name":"International Journal of Scientific and Research Publications (IJSRP)","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79729222","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 : 2022-08-24DOI: 10.29322/ijsrp.12.08.2022.p12855
Daniel W. Nirahua, M. J. Saptenno, R. J. Akyuwen, M. Tjoanda.
: Land tenure and utilization are always influenced by human needs, time and technology. Population growth is increasing, while the limited availability of land is a problem on the one hand where land is used not only on the earth's surface, but on the surface of the space above the ground and underground space. Meanwhile, on the other hand, there are no laws and regulations that accommodate human needs and interests that regulate the use and use of above-ground and underground spaces. The type of research used in this paper is normative juridical research. Normative juridical research is a legal research method that is carried out by examining library materials or mere secondary materials, namely legal research on the Principles of Utilization of Land Ownership Rights. Normatively, the Basic Agrarian Law as a unification of land law, has provided for the control and utilization of space above the land and the space below the ground as stated in Article 4 of the UUPA and Article 146 of the Job Creation Law. However, its implementation is constrained because there are no regulations that regulate the technicalities and how to use the above ground and basement spaces by providing legal certainty. The use of the same object can be owned by two legal subjects with different rights status, and the right of ownership of the space above the ground and the space below the ground by one legal subject is the same as the status of the existing rights attached to the legal subject.
{"title":"Study Of Legal Regulation for The Utilization of Ownership Rights Above Land (Air Space)","authors":"Daniel W. Nirahua, M. J. Saptenno, R. J. Akyuwen, M. Tjoanda.","doi":"10.29322/ijsrp.12.08.2022.p12855","DOIUrl":"https://doi.org/10.29322/ijsrp.12.08.2022.p12855","url":null,"abstract":": Land tenure and utilization are always influenced by human needs, time and technology. Population growth is increasing, while the limited availability of land is a problem on the one hand where land is used not only on the earth's surface, but on the surface of the space above the ground and underground space. Meanwhile, on the other hand, there are no laws and regulations that accommodate human needs and interests that regulate the use and use of above-ground and underground spaces. The type of research used in this paper is normative juridical research. Normative juridical research is a legal research method that is carried out by examining library materials or mere secondary materials, namely legal research on the Principles of Utilization of Land Ownership Rights. Normatively, the Basic Agrarian Law as a unification of land law, has provided for the control and utilization of space above the land and the space below the ground as stated in Article 4 of the UUPA and Article 146 of the Job Creation Law. However, its implementation is constrained because there are no regulations that regulate the technicalities and how to use the above ground and basement spaces by providing legal certainty. The use of the same object can be owned by two legal subjects with different rights status, and the right of ownership of the space above the ground and the space below the ground by one legal subject is the same as the status of the existing rights attached to the legal subject.","PeriodicalId":14290,"journal":{"name":"International Journal of Scientific and Research Publications (IJSRP)","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85942975","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 : 2022-08-24DOI: 10.29322/ijsrp.12.08.2022.p12841
Mohammad Nwaf Saleem AlHusein
- The impact of various types of mixing water on the compressive strength of concrete was illustrated in this study. It illustrated how contaminants like sodium salts, manganese, tin, zinc, copper, and lead affected concrete's compressive strength. The effects of the presence of some other impurities like silt and suspended particles on concrete strength were also addressed. Monitoring chemical features aids in determining whether the water complies with legal requirements and is secure for use by humans and the environment. Furthermore, different chemical properties can help in determining the impacts of unclean water on the structural elements. The first part of this paper discusses the physical features of water quality, chemical features of water, and expert water testing and analysis amenities. The second part of this paper addresses the effects of various sources of water on concrete strength.
{"title":"Effects Of Unclean Water On The Structural Elements","authors":"Mohammad Nwaf Saleem AlHusein","doi":"10.29322/ijsrp.12.08.2022.p12841","DOIUrl":"https://doi.org/10.29322/ijsrp.12.08.2022.p12841","url":null,"abstract":"- The impact of various types of mixing water on the compressive strength of concrete was illustrated in this study. It illustrated how contaminants like sodium salts, manganese, tin, zinc, copper, and lead affected concrete's compressive strength. The effects of the presence of some other impurities like silt and suspended particles on concrete strength were also addressed. Monitoring chemical features aids in determining whether the water complies with legal requirements and is secure for use by humans and the environment. Furthermore, different chemical properties can help in determining the impacts of unclean water on the structural elements. The first part of this paper discusses the physical features of water quality, chemical features of water, and expert water testing and analysis amenities. The second part of this paper addresses the effects of various sources of water on concrete strength.","PeriodicalId":14290,"journal":{"name":"International Journal of Scientific and Research Publications (IJSRP)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86292978","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 : 2022-08-24DOI: 10.29322/ijsrp.12.08.2022.p12848
Dr. Salma Banu
Every business is established to earn maximum return; therefore there is a need to evaluate profitability analysis of sample sugar factories in Karnataka. To know whether the profits earned by the sample factories is sufficient or not. Also to know whether sample sugar factories fulfil the requirements of shareholders and other stakeholders or not. Profitability analysis with reference to return on investment in sample sugar factories in Karnataka is undertaken. The study for this purpose evaluate the assets turnover ratio and also takes into account takes into account the profit margin of sugar factories.
{"title":"Profitability Analysis of Sugar Industry","authors":"Dr. Salma Banu","doi":"10.29322/ijsrp.12.08.2022.p12848","DOIUrl":"https://doi.org/10.29322/ijsrp.12.08.2022.p12848","url":null,"abstract":"Every business is established to earn maximum return; therefore there is a need to evaluate profitability analysis of sample sugar factories in Karnataka. To know whether the profits earned by the sample factories is sufficient or not. Also to know whether sample sugar factories fulfil the requirements of shareholders and other stakeholders or not. Profitability analysis with reference to return on investment in sample sugar factories in Karnataka is undertaken. The study for this purpose evaluate the assets turnover ratio and also takes into account takes into account the profit margin of sugar factories.","PeriodicalId":14290,"journal":{"name":"International Journal of Scientific and Research Publications (IJSRP)","volume":"182 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76875296","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 : 2022-08-24DOI: 10.29322/ijsrp.12.08.2022.p12843
Sita Ram Sahni, Dr.Kamal Vagrecha
- The manufacturing cycle time as well as cycle cost reduction of detailed and critical components which induces the opportunities of productivity and leads for business growth in aerospace industries. It can emerge as economy growth for nations. Major portion of budget of any country goes for purchasing, research, development and modernization of aircraft, helicopter, rockets, missiles etc. It is therefore required to focus to reduce manufacturing time cum cost of detailed and critical components for aerospace flying machines. This field creates an environment for revenue generation in our economies as well. The cost effective manufacturing of aerospace flying machines lead for cascading development in aviation industries. At low cost manufacturing generates more production of aerospace machines by immense engagement and effective utilization of men, machines, materials for revenue generation and stopping steep drainage of cash flow from economy of nation. This research will revolutionize to aerospace industrialists and manufacturers by focusing on, time reduction, cost reduction, quality improvement for high business growth in manufacturing. The growth in business can be done by enhancing productivity with respect to lowering manufacturing time and lowering manufacturing cost of aircraft, helicopters, satellite, rockets, space shuttle etc. The effectiveness of time reduction and cost reduction of detailed and critical components are the prime concerned parameters for productivity enhancement as well as business growth in aerospace manufacturing industries. many intricacies, factors, complex interaction of time elapsed in operations. If labour time be reduced, the delivery time also will be intently reduced, by reducing of different machining operations time. Reduction in operation time will lead reduction in delivery of helicopters, aircraft, satellite, rocket to our customers. This research will give a direction and guidance to manufacturers and industrialist as to how reduce the manufacturing time and cost under operations of machine, inspection, movement, queuing during manufacturing for detail and critical components of aircraft, helicopter and other aerospace flying machines. Cycle time consists of set up time, machine processing time, quality inspection time, transportation or move time and waiting time for loading in machine to machine. The possibilities of manufacturability will be enhanced by emerging technology and new breakthroughs as artificial intelligence, robotics, Internet of Things, autonomous vehicles, 3-D printing/ additive manufacturing etc. They collect huge amounts of data from smart sensors through cloud computing for manufacturing of critical components and Industrial internet of things-IIoT which helped the manufacturing system to improve the efficiency of manufacturing design, machinability, supply chain of raw material and semi-finish components on machines and manufacturing production by time reduction and cost reduc
{"title":"Reduction in Manufacturing Cycle Time cum Cost propels Productivity and Business growth in Aerospace Industries","authors":"Sita Ram Sahni, Dr.Kamal Vagrecha","doi":"10.29322/ijsrp.12.08.2022.p12843","DOIUrl":"https://doi.org/10.29322/ijsrp.12.08.2022.p12843","url":null,"abstract":"- The manufacturing cycle time as well as cycle cost reduction of detailed and critical components which induces the opportunities of productivity and leads for business growth in aerospace industries. It can emerge as economy growth for nations. Major portion of budget of any country goes for purchasing, research, development and modernization of aircraft, helicopter, rockets, missiles etc. It is therefore required to focus to reduce manufacturing time cum cost of detailed and critical components for aerospace flying machines. This field creates an environment for revenue generation in our economies as well. The cost effective manufacturing of aerospace flying machines lead for cascading development in aviation industries. At low cost manufacturing generates more production of aerospace machines by immense engagement and effective utilization of men, machines, materials for revenue generation and stopping steep drainage of cash flow from economy of nation. This research will revolutionize to aerospace industrialists and manufacturers by focusing on, time reduction, cost reduction, quality improvement for high business growth in manufacturing. The growth in business can be done by enhancing productivity with respect to lowering manufacturing time and lowering manufacturing cost of aircraft, helicopters, satellite, rockets, space shuttle etc. The effectiveness of time reduction and cost reduction of detailed and critical components are the prime concerned parameters for productivity enhancement as well as business growth in aerospace manufacturing industries. many intricacies, factors, complex interaction of time elapsed in operations. If labour time be reduced, the delivery time also will be intently reduced, by reducing of different machining operations time. Reduction in operation time will lead reduction in delivery of helicopters, aircraft, satellite, rocket to our customers. This research will give a direction and guidance to manufacturers and industrialist as to how reduce the manufacturing time and cost under operations of machine, inspection, movement, queuing during manufacturing for detail and critical components of aircraft, helicopter and other aerospace flying machines. Cycle time consists of set up time, machine processing time, quality inspection time, transportation or move time and waiting time for loading in machine to machine. The possibilities of manufacturability will be enhanced by emerging technology and new breakthroughs as artificial intelligence, robotics, Internet of Things, autonomous vehicles, 3-D printing/ additive manufacturing etc. They collect huge amounts of data from smart sensors through cloud computing for manufacturing of critical components and Industrial internet of things-IIoT which helped the manufacturing system to improve the efficiency of manufacturing design, machinability, supply chain of raw material and semi-finish components on machines and manufacturing production by time reduction and cost reduc","PeriodicalId":14290,"journal":{"name":"International Journal of Scientific and Research Publications (IJSRP)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79790939","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 : 2022-08-24DOI: 10.29322/ijsrp.12.08.2022.p12842
Philip Kamei
{"title":"The length and breadth of Rongmei scattering in the three state of North East India, namely Assam, Manipur and Nagaland","authors":"Philip Kamei","doi":"10.29322/ijsrp.12.08.2022.p12842","DOIUrl":"https://doi.org/10.29322/ijsrp.12.08.2022.p12842","url":null,"abstract":"","PeriodicalId":14290,"journal":{"name":"International Journal of Scientific and Research Publications (IJSRP)","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79111476","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 : 2022-08-24DOI: 10.29322/ijsrp.12.08.2022.p12853
Dr. V. Sumathy, Dr. S. J. Rexline, Ms.T.D. Gowri
- Uterine fibroids are benign growth in the tissues of the uterus which gives discomforts in the form of symptoms like over bleeding, pain in lower abdomen, irregular periods, misconception, in conception etc., for which there are several possible treatment options. Patients and physicians generally approach the decision process based on a combination of the patient’s degree of discomfort, patient preferences, and physician practice patterns. While there have been many successes in applying data mining technology to the improvement of diagnostic accuracy. In this paper the use of classification algorithms in combination with Machine learning algorithms as a decision support tool to facilitate more systematic fibroid treatment decisions is examined. Machine learning algorithms like Decision Tree Classifier, Gaussian Naive Bayes, Random Forest Classifier, K-Nearest Neighbours, Gradient Boosting Classifier and XG Boost Classifier algorithms results are used to decide the possible decision for treatment.
{"title":"Decision Support Tool for Uterine Fibroids Treatment with Machine Learning Algorithms – A Study","authors":"Dr. V. Sumathy, Dr. S. J. Rexline, Ms.T.D. Gowri","doi":"10.29322/ijsrp.12.08.2022.p12853","DOIUrl":"https://doi.org/10.29322/ijsrp.12.08.2022.p12853","url":null,"abstract":"- Uterine fibroids are benign growth in the tissues of the uterus which gives discomforts in the form of symptoms like over bleeding, pain in lower abdomen, irregular periods, misconception, in conception etc., for which there are several possible treatment options. Patients and physicians generally approach the decision process based on a combination of the patient’s degree of discomfort, patient preferences, and physician practice patterns. While there have been many successes in applying data mining technology to the improvement of diagnostic accuracy. In this paper the use of classification algorithms in combination with Machine learning algorithms as a decision support tool to facilitate more systematic fibroid treatment decisions is examined. Machine learning algorithms like Decision Tree Classifier, Gaussian Naive Bayes, Random Forest Classifier, K-Nearest Neighbours, Gradient Boosting Classifier and XG Boost Classifier algorithms results are used to decide the possible decision for treatment.","PeriodicalId":14290,"journal":{"name":"International Journal of Scientific and Research Publications (IJSRP)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82976596","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：