AIMC Topic: Life Style
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A Data-Driven Approach to Predicting Recreational Activity Participation Using Machine Learning.
Research quarterly for exercise and sport
Jun 14, 2024
With the popularity of recreational activities, the study aimed to develop prediction models for recreational activity participation and explore the key factors affecting participation in recreational activities. A total of 12,712 participants, exc...
The Cooperation Between Nurses and a New Digital Colleague "AI-Driven Lifestyle Monitoring" in Long-Term Care for Older Adults: Viewpoint.
JMIR nursing
May 23, 2024
Technology has a major impact on the way nurses work. Data-driven technologies, such as artificial intelligence (AI), have particularly strong potential to support nurses in their work. However, their use also introduces ambiguities. An example of su...
Prediction and causal inference of cardiovascular and cerebrovascular diseases based on lifestyle questionnaires.
Scientific reports
May 7, 2024
Cardiovascular and cerebrovascular diseases (CCVD) are prominent mortality causes in Japan, necessitating effective preventative measures, early diagnosis, and treatment to mitigate their impact. A diagnostic model was developed to identify patients ...
Symptom-based drug prediction of lifestyle-related chronic diseases using unsupervised machine learning techniques.
Computers in biology and medicine
Apr 5, 2024
BACKGROUND AND OBJECTIVES: Lifestyle-related diseases (LSDs) impose a substantial economic burden on patients and health care services. LSDs are chronic in nature and can directly affect the heart and lungs. Therapeutic interventions only based on sy...
Machine Learning Approach to Study Social Determinants of Chronic Illness in India: A Comparative Analysis.
Indian journal of public health
Apr 4, 2024
BACKGROUND: Several studies on noncommunicable diseases (NCDs) have been carried out worldwide, the basis of most of which is the identification of risk factors-modifiable (or behavioral) and metabolic. Majority of the NCDs are due to sociodemographi...
Assessing the accuracy and completeness of artificial intelligence language models in providing information on methotrexate use.
Rheumatology international
Sep 25, 2023
We aimed to assess Large Language Models (LLMs)-ChatGPT 3.5-4, BARD, and Bing-in their accuracy and completeness when answering Methotrexate (MTX) related questions for treating rheumatoid arthritis. We employed 23 questions from an earlier study rel...
Machine Learning Models for Data-Driven Prediction of Diabetes by Lifestyle Type.
International journal of environmental research and public health
Nov 15, 2022
The prevalence of diabetes has been increasing in recent years, and previous research has found that machine-learning models are good diabetes prediction tools. The purpose of this study was to compare the efficacy of five different machine-learning ...
Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision.
BMC medical informatics and decision making
Jul 7, 2022
BACKGROUND: Since no effective therapies exist for Alzheimer's disease (AD), prevention has become more critical through lifestyle status changes and interventions. Analyzing electronic health records (EHRs) of patients with AD can help us better und...
Application of ensemble machine learning algorithms on lifestyle factors and wearables for cardiovascular risk prediction.
Scientific reports
Jan 20, 2022
This study looked at novel data sources for cardiovascular risk prediction including detailed lifestyle questionnaire and continuous blood pressure monitoring, using ensemble machine learning algorithms (MLAs). The reference conventional risk score c...
Combining machine learning and conventional statistical approaches for risk factor discovery in a large cohort study.
Scientific reports
Nov 26, 2021
We present a simple and efficient hypothesis-free machine learning pipeline for risk factor discovery that accounts for non-linearity and interaction in large biomedical databases with minimal variable pre-processing. In this study, mortality models ...
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