As a favorite sport of teachers and students, long-distance running can enhance physical fitness. However, due to nonstandard movements in sports, teachers and students get injured psysically. Taking the prevention of long-distance running injuries of teachers and students in colleges and universities as the research goal, this article investigates the teachers and students of a physical education college in Shanxi Province by means of questionnaire survey, counts the functional indexes of teachers and students in long-distance running for one year and analyzes the injuries. The results show that the injury rate of teachers and students is 45.5%; Teachers and students with only one injury are the most, and knee injuries are the most common, with a mild injury rate of 60.98% and concentrated in November-December and June-July. The main reasons for the injuries of teachers and students are poor physical fitness, insufficient warm-up, and poor sports equipment. Through full warm-up exercise and adequate rest, common injuries in long-distance running can be effectively prevented.
{"title":"The Prevention and Nursing Care of Common Injuries in Long-Distance Running of College Students","authors":"Bin Hu, Gregory T. MacLennan","doi":"10.4018/ijhisi.334120","DOIUrl":"https://doi.org/10.4018/ijhisi.334120","url":null,"abstract":"As a favorite sport of teachers and students, long-distance running can enhance physical fitness. However, due to nonstandard movements in sports, teachers and students get injured psysically. Taking the prevention of long-distance running injuries of teachers and students in colleges and universities as the research goal, this article investigates the teachers and students of a physical education college in Shanxi Province by means of questionnaire survey, counts the functional indexes of teachers and students in long-distance running for one year and analyzes the injuries. The results show that the injury rate of teachers and students is 45.5%; Teachers and students with only one injury are the most, and knee injuries are the most common, with a mild injury rate of 60.98% and concentrated in November-December and June-July. The main reasons for the injuries of teachers and students are poor physical fitness, insufficient warm-up, and poor sports equipment. Through full warm-up exercise and adequate rest, common injuries in long-distance running can be effectively prevented.","PeriodicalId":56158,"journal":{"name":"International Journal of Healthcare Information Systems and Informatics","volume":"24 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139222301","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}
The K-nearest neighbor interpolation method was used to fill in missing data of five indicators of coronary heart disease, diabetes, total cholesterol, triglycerides, and albumin;, and the SMOTE algorithm was used to balance the number of variable indicators. The Relief-F algorithm was used to remove 18 variable indicators and retain 42 variable indicators. LASSO and ridge regression algorithms were used to remove eight variable indicators and retain 52 variable indicators; The prediction accuracy, recall, and AUC values of the linear kernel support vector machine model filtered using Relief-F and LASSO features are high, and the prediction results are optimal; The test result of random forest screened by Relief-F and LASSO features is better than that of the support vector machine model. It is concluded that the random forest model screened by Relief-F features is better as a prediction of lung cancer typing. The research results provide theoretical data support for predicting lung cancer classification using machine learning methods.
{"title":"Classification Prediction of Lung Cancer Based on Machine Learning Method","authors":"Dantong Li, Guixin Li, Shuang Li, Ashley Bang","doi":"10.4018/ijhisi.333631","DOIUrl":"https://doi.org/10.4018/ijhisi.333631","url":null,"abstract":"The K-nearest neighbor interpolation method was used to fill in missing data of five indicators of coronary heart disease, diabetes, total cholesterol, triglycerides, and albumin;, and the SMOTE algorithm was used to balance the number of variable indicators. The Relief-F algorithm was used to remove 18 variable indicators and retain 42 variable indicators. LASSO and ridge regression algorithms were used to remove eight variable indicators and retain 52 variable indicators; The prediction accuracy, recall, and AUC values of the linear kernel support vector machine model filtered using Relief-F and LASSO features are high, and the prediction results are optimal; The test result of random forest screened by Relief-F and LASSO features is better than that of the support vector machine model. It is concluded that the random forest model screened by Relief-F features is better as a prediction of lung cancer typing. The research results provide theoretical data support for predicting lung cancer classification using machine learning methods.","PeriodicalId":56158,"journal":{"name":"International Journal of Healthcare Information Systems and Informatics","volume":"4623 2 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139275637","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}
Due to the recent implementation of the Finnish well-being reform, there is limited research discussing the reform's aims and its alignment with existing Finnish patient portals. The objective of this research is to assess the alignment between existing Finnish patient portals and the newly implemented well-being reform. This research is supported by the insights gained from monitoring the US health reform survey that was conducted in 2021. By Aligning patient portals with the well-being reform, there is an opportunity to achieve patient-centered care and facilitate improved communication between patients and healthcare providers.
{"title":"Assessing the Alignment Between Existing Finnish Patient Portals and the Newly Implemented Finnish Well-Being Reform","authors":"Marlon Luca Machal","doi":"10.4018/ijhisi.333604","DOIUrl":"https://doi.org/10.4018/ijhisi.333604","url":null,"abstract":"Due to the recent implementation of the Finnish well-being reform, there is limited research discussing the reform's aims and its alignment with existing Finnish patient portals. The objective of this research is to assess the alignment between existing Finnish patient portals and the newly implemented well-being reform. This research is supported by the insights gained from monitoring the US health reform survey that was conducted in 2021. By Aligning patient portals with the well-being reform, there is an opportunity to achieve patient-centered care and facilitate improved communication between patients and healthcare providers.","PeriodicalId":56158,"journal":{"name":"International Journal of Healthcare Information Systems and Informatics","volume":" 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135192745","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}
Despite the rise of medical crowdfunding and its benefits to patients, including reducing financial hardships and providing emotional support, limited attention has been paid to how a medical crowdfunding campaign organizer can drive performance. In this study, the authors investigate how the communication style used in a medical crowdfunding campaign can affect the funding performance and emotional support received. They find that emotional framing and the level of feedback communicated positively affect funding and emotional support and discuss its implications.
{"title":"Effect of Framing and Feedback Levels on Funding and Emotional Support in Medical Crowdfunding","authors":"Onochie Fan-Osuala","doi":"10.4018/ijhisi.327449","DOIUrl":"https://doi.org/10.4018/ijhisi.327449","url":null,"abstract":"Despite the rise of medical crowdfunding and its benefits to patients, including reducing financial hardships and providing emotional support, limited attention has been paid to how a medical crowdfunding campaign organizer can drive performance. In this study, the authors investigate how the communication style used in a medical crowdfunding campaign can affect the funding performance and emotional support received. They find that emotional framing and the level of feedback communicated positively affect funding and emotional support and discuss its implications.","PeriodicalId":56158,"journal":{"name":"International Journal of Healthcare Information Systems and Informatics","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45437807","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}
Improving emergency department (ED) care coordination requires analytics-based models that can integrate large patient-level and hospital databases to help formulate better transfer processes and policies across different hospital settings. This study develops a new empirical model to analyze over one million heart attack emergency department (ED) encounters between 2006-2014 to understand the factors that drive the need for inter-facility transfers (IFT) in different hospital settings. The resulting model has proven helpful for deriving public policy insights from this information. For instance, while we find that while healthcare IFT inequities and inconsistencies persist with ED discharge decisions because of some specific patient and hospital resource factors, these have been reduced significantly in the more recent post-reform period. We conclude by discussing the implications of using this empirical modeling approach for developing smarter policies and procedures for managing and benchmarking downstream healthcare operations practices in this disease area.
{"title":"Modeling the Factors That Drive the Need for Inter-Facility Transfers to Downstream Services in US Emergency Departments","authors":"Jeff Shockley, Tobin Turner","doi":"10.4018/ijhisi.327349","DOIUrl":"https://doi.org/10.4018/ijhisi.327349","url":null,"abstract":"Improving emergency department (ED) care coordination requires analytics-based models that can integrate large patient-level and hospital databases to help formulate better transfer processes and policies across different hospital settings. This study develops a new empirical model to analyze over one million heart attack emergency department (ED) encounters between 2006-2014 to understand the factors that drive the need for inter-facility transfers (IFT) in different hospital settings. The resulting model has proven helpful for deriving public policy insights from this information. For instance, while we find that while healthcare IFT inequities and inconsistencies persist with ED discharge decisions because of some specific patient and hospital resource factors, these have been reduced significantly in the more recent post-reform period. We conclude by discussing the implications of using this empirical modeling approach for developing smarter policies and procedures for managing and benchmarking downstream healthcare operations practices in this disease area.","PeriodicalId":56158,"journal":{"name":"International Journal of Healthcare Information Systems and Informatics","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45747066","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}
Many infants and young children worldwide have been affected by chronic respiratory conditions. In this paper, the authors performed an exploratory and predictive analysis of the 2016 KID data set to examine respiratory disease trends among children. They applied the multiple linear regression and random forest regression methods to build a predictive model for the length of stay (LOS) for children with respiratory problems. The tree approach implemented using random forest is found to be a better approach for predicting the length of stay (LOS). In addition, they performed an exploratory analysis of significant fields from the data set. From the analysis, it is found that the winter season has the highest number of inpatient admissions of children having chronic respiratory illnesses. Further, it is found that newborns and infants are more prone to respiratory diseases, with bronchitis being the leading cause of respiratory diseases among children.
{"title":"Analysis of Pediatric Respiratory Disease Trends Using the 2016 KIDs' Inpatient Database","authors":"Shilpa Balan, Shailja Pandit","doi":"10.4018/ijhisi.326800","DOIUrl":"https://doi.org/10.4018/ijhisi.326800","url":null,"abstract":"Many infants and young children worldwide have been affected by chronic respiratory conditions. In this paper, the authors performed an exploratory and predictive analysis of the 2016 KID data set to examine respiratory disease trends among children. They applied the multiple linear regression and random forest regression methods to build a predictive model for the length of stay (LOS) for children with respiratory problems. The tree approach implemented using random forest is found to be a better approach for predicting the length of stay (LOS). In addition, they performed an exploratory analysis of significant fields from the data set. From the analysis, it is found that the winter season has the highest number of inpatient admissions of children having chronic respiratory illnesses. Further, it is found that newborns and infants are more prone to respiratory diseases, with bronchitis being the leading cause of respiratory diseases among children.","PeriodicalId":56158,"journal":{"name":"International Journal of Healthcare Information Systems and Informatics","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41807096","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}
In recent years, more and more college teachers and students have started to participate in long-distance running. However, due to differences in physical fitness and exercise levels among participants, unexpected situations are inevitable. Therefore, this article takes some long-distance running teachers and students as the research object to study the situation of lower limb injuries in long-distance running teachers and students and analyzes the frequency and location characteristics of lower limb injuries. Then, a series of simple and feasible lower limb structural assessment and functional tests were conducted on selected long-distance running teachers and students with and without lower limb sports injuries. Research has found that the main types of sports injuries for teachers and students in long-distance running include sprains and strains. The incidence of lower limb sports injuries among long-distance running teachers and students is high, reaching 81.3%, mainly concentrated in the knee, ankle, and foot regions.
{"title":"Prevention and Healthcare of Common Injuries in Long-Distance Running for College Teachers and Students","authors":"Shijun Wang, Guangliang Wang, Y. Sorokin","doi":"10.4018/ijhisi.326608","DOIUrl":"https://doi.org/10.4018/ijhisi.326608","url":null,"abstract":"In recent years, more and more college teachers and students have started to participate in long-distance running. However, due to differences in physical fitness and exercise levels among participants, unexpected situations are inevitable. Therefore, this article takes some long-distance running teachers and students as the research object to study the situation of lower limb injuries in long-distance running teachers and students and analyzes the frequency and location characteristics of lower limb injuries. Then, a series of simple and feasible lower limb structural assessment and functional tests were conducted on selected long-distance running teachers and students with and without lower limb sports injuries. Research has found that the main types of sports injuries for teachers and students in long-distance running include sprains and strains. The incidence of lower limb sports injuries among long-distance running teachers and students is high, reaching 81.3%, mainly concentrated in the knee, ankle, and foot regions.","PeriodicalId":56158,"journal":{"name":"International Journal of Healthcare Information Systems and Informatics","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43438784","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}
Hypertension, as a cardiovascular and cerebrovascular disease, is endangering human life and health. To address this issue, this article conducted a study on the impact of Tai Chi exercise on middle-aged and elderly hypertensive patients. The study selected a certain number of middle-aged and elderly hypertensive patients for comparative experiments to observe the changes in blood pressure, heart rate, body fat, and other indicators after Tai Chi exercise; evaluate the impact of Tai Chi on the quality of life of hypertensive patients; and reveal the mechanism of Tai Chi in preventing and treating hypertension. The research results indicate that through Tai Chi exercise, patients' systolic blood pressure, diastolic blood pressure, and pulse pressure difference all show a significant decrease. At the same time, Taijiquan can intensify fat burning and consumption in the body, reduce fat content, improve body mass index and body fat rate, and also improve the central neuromodulation function of the elderly.
{"title":"Effect of Tai Chi Exercise on Healthcare and Quality of Life of Middle-Aged and Elderly Patients With Hypertension","authors":"Hongyuan Sun, Wu Lv, Jaehee Lee","doi":"10.4018/ijhisi.326130","DOIUrl":"https://doi.org/10.4018/ijhisi.326130","url":null,"abstract":"Hypertension, as a cardiovascular and cerebrovascular disease, is endangering human life and health. To address this issue, this article conducted a study on the impact of Tai Chi exercise on middle-aged and elderly hypertensive patients. The study selected a certain number of middle-aged and elderly hypertensive patients for comparative experiments to observe the changes in blood pressure, heart rate, body fat, and other indicators after Tai Chi exercise; evaluate the impact of Tai Chi on the quality of life of hypertensive patients; and reveal the mechanism of Tai Chi in preventing and treating hypertension. The research results indicate that through Tai Chi exercise, patients' systolic blood pressure, diastolic blood pressure, and pulse pressure difference all show a significant decrease. At the same time, Taijiquan can intensify fat burning and consumption in the body, reduce fat content, improve body mass index and body fat rate, and also improve the central neuromodulation function of the elderly.","PeriodicalId":56158,"journal":{"name":"International Journal of Healthcare Information Systems and Informatics","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44235629","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}
In the context of the global pandemic, enhancing immunity is an important way to defeat the virus. This article analyzes the immune system and immune function of the body and proposes to intervene in the function of the immune system through diet and various intensities of exercise. Research has shown that doing less intensive exercise can improve the impact of negative emotions, thereby enhancing the immune system. Long-term high-intensity exercise can suppress immune function. In the event of a disease outbreak, the immune system can be strengthened by providing adequate nutrition. The most important thing is that the human body should have sufficient high-quality protein. Firstly, protein is the material foundation for maintaining health. Secondly, the human body needs to consume more vitamin A. Thirdly, we mainly eat trace elements such as iron, zinc, and selenium. Fourthly, there must be more biologically active foods. At the same time, it is important to ensure sufficient sleep, a good mood, and exercise.
{"title":"Intervention Effect of Exercise and Diet on Immunity Under the Coronavirus Pandemic","authors":"Licheng Gao, Yawen Zhao","doi":"10.4018/ijhisi.325237","DOIUrl":"https://doi.org/10.4018/ijhisi.325237","url":null,"abstract":"In the context of the global pandemic, enhancing immunity is an important way to defeat the virus. This article analyzes the immune system and immune function of the body and proposes to intervene in the function of the immune system through diet and various intensities of exercise. Research has shown that doing less intensive exercise can improve the impact of negative emotions, thereby enhancing the immune system. Long-term high-intensity exercise can suppress immune function. In the event of a disease outbreak, the immune system can be strengthened by providing adequate nutrition. The most important thing is that the human body should have sufficient high-quality protein. Firstly, protein is the material foundation for maintaining health. Secondly, the human body needs to consume more vitamin A. Thirdly, we mainly eat trace elements such as iron, zinc, and selenium. Fourthly, there must be more biologically active foods. At the same time, it is important to ensure sufficient sleep, a good mood, and exercise.","PeriodicalId":56158,"journal":{"name":"International Journal of Healthcare Information Systems and Informatics","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46211738","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}
The physical and mental health and quality of life of women during menopause undergo significant changes, accompanied by symptoms such as anxiety, depression, and insomnia. How to solve menopausal health problems has become a major challenge. By comparing the menopausal symptoms, Greene symptoms, psychological emotions, and satisfaction of two groups of women, the impact of physical exercise combined with psychological intervention on women's menopausal health is analyzed. The research results indicate that after two intervention methods, women's depression and anxiety scores significantly decreased, but the combination of physical exercise and psychological intervention has a greater reduction. The overall satisfaction of the combined intervention group reached 94.67%, much higher than the 87% of individual interventions. The research results provide theoretical data support for the combination of physical exercise and psychological intervention to promote menopausal healthcare for women.
{"title":"Comparison of Physical Exercise and Psychological Intervention in the Healthcare of Menopausal Women","authors":"Zhen Zhang, Minghui Zhao","doi":"10.4018/ijhisi.325238","DOIUrl":"https://doi.org/10.4018/ijhisi.325238","url":null,"abstract":"The physical and mental health and quality of life of women during menopause undergo significant changes, accompanied by symptoms such as anxiety, depression, and insomnia. How to solve menopausal health problems has become a major challenge. By comparing the menopausal symptoms, Greene symptoms, psychological emotions, and satisfaction of two groups of women, the impact of physical exercise combined with psychological intervention on women's menopausal health is analyzed. The research results indicate that after two intervention methods, women's depression and anxiety scores significantly decreased, but the combination of physical exercise and psychological intervention has a greater reduction. The overall satisfaction of the combined intervention group reached 94.67%, much higher than the 87% of individual interventions. The research results provide theoretical data support for the combination of physical exercise and psychological intervention to promote menopausal healthcare for women.","PeriodicalId":56158,"journal":{"name":"International Journal of Healthcare Information Systems and Informatics","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47031135","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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