AIMC Topic: Health Status
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Novel concept for the healthy population influencing factors.
Frontiers in public health
Dec 10, 2024
In the rapid urbanization process in China, due to reasons such as employment, education, and family reunification, the number of mobile population without registered residence in the local area has increased significantly. By 2020, the group had a p...
Applying machine learning to understand the role of social-emotional skills on subjective well-being and physical health.
Applied psychology. Health and well-being
Nov 11, 2024
Social-emotional skills are vital for individual development, yet research on which skills most effectively promote students' mental and physical health, particularly from a global perspective, remains limited. This study aims to address this gap by ...
Using machine learning to explore the predictors of life satisfaction trajectories in older adults.
Applied psychology. Health and well-being
Aug 14, 2024
Life satisfaction is vital for older adults' well-being, impacting various life aspects. It is dynamic, necessitating nuanced approaches to capture its trajectories accurately. This study aimed to explore the diverse trajectories and predictors of li...
Constructing prediction models and analyzing factors in suicidal ideation using machine learning, focusing on the older population.
PloS one
Jul 22, 2024
Suicide among the older population is a significant public health concern in South Korea. As the older individuals have long considered suicide before committing suicide trials, it is important to analyze the suicidal ideation that precedes the suici...
Predictive modeling for identification of older adults with high utilization of health and social services.
Scandinavian journal of primary health care
Jul 3, 2024
AIM: Machine learning techniques have demonstrated success in predictive modeling across various clinical cases. However, few studies have considered predicting the use of multisectoral health and social services among older adults. This research aim...
Application of artificial intelligence technology in monitoring students' health: Preliminary results of Syiah Kuala Integrated Medical Monitoring (SKIMM).
Narra J
Apr 17, 2024
Health promoting university is a holistic approach to health that uses higher education settings to create a learning environment that improves the health and well-being of the campus community in a sustainable manner. The utilization of technology s...
Patients' values and preferences for health states in allergic rhinitis-An artificial intelligence supported systematic review.
Allergy
Mar 29, 2024
BACKGROUND: Allergic rhinitis (AR) impacts patients' physical and emotional well-being. Assessing patients' values and preferences (V&P) related to AR is an essential part of patient-centered care and of the guideline development process. We aimed to...
Designing, validation and evaluation of the expert system of "Healthy Menopause" and assessing its effect on the management of menopause symptoms: an exploratory mixed method study protocol.
Reproductive health
Jan 20, 2024
BACKGROUND: Menopause is a period of women's life that has the especial physical, psychological and social challenges. So provision of an effective, practical and affordable way for meeting women's related needs is important. In addition, women shoul...
An artificial intelligence approach to predict infants' health status at birth.
International journal of medical informatics
Jan 5, 2024
BACKGROUND: Machine learning could be used for prognosis/diagnosis of maternal and neonates' diseases by analyzing the data sets and profiles obtained from a pregnant mother.
Assessing the Utility of a Machine-Learning Model to Assist With the Assignment of the American Society of Anesthesiology Physical Status Classification in Pediatric Patients.
Anesthesia and analgesia
Dec 13, 2023
BACKGROUND: The American Society of Anesthesiologists Physical Status Classification System (ASA-PS) is used to classify patients' health before delivering an anesthetic. Assigning an ASA-PS Classification score to pediatric patients can be challengi...
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