AIMC Topic: Life Style
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Machine learning insights on activities of daily living disorders in Chinese older adults.
Experimental gerontology
Nov 26, 2024
OBJECTIVE: This study on the aged population in China first used a large-scale longitudinal survey database to explore how different life factors affect their ability to engage in daily activities. We select and integrate multiple machine models to o...
Risk management of patients with multiple CVDs: what are the best practices?
Expert review of cardiovascular therapy
Nov 19, 2024
INTRODUCTION: Managing patients with multiple risk factors for CVDs can present distinct challenges for healthcare providers, therefore addressing them can be paramount to optimize patient care.
Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES.
BMC public health
Nov 1, 2024
BACKGROUND: Overweight and obesity pose a huge burden on individuals and society. While the relationship between lifestyle factors and overweight and obesity is well-established, the relative contribution of specific lifestyle factors remains unclear...
Predicting non-responders to lifestyle intervention in prediabetes: a machine learning approach.
European journal of clinical nutrition
Oct 23, 2024
BACKGROUND: The clinical care process for people with prediabetes starts with lifestyle intervention, often escalating to more intense treatment due to the low success rate of the first-line intervention. Clinicians lack clear guidelines on which pat...
Exploring key factors influencing depressive symptoms among middle-aged and elderly adult population: A machine learning-based method.
Archives of gerontology and geriatrics
Oct 2, 2024
OBJECTIVE: This paper aims to investigate the key factors, including demographics, socioeconomics, physical well-being, lifestyle, daily activities and loneliness that can impact depressive symptoms in the middle-aged and elderly population using mac...
Digital therapeutics in hypertension: How to make sustainable lifestyle changes.
Journal of clinical hypertension (Greenwich, Conn.)
Sep 9, 2024
Various digital therapeutic products have been validated and approved since 2017. They have demonstrated efficacy and safety as a new therapeutic modality in various disorders or conditions. Hypertension is a common but serious condition that can be ...
The prediction of semen quality based on lifestyle behaviours by the machine learning based models.
Reproductive biology and endocrinology : RB&E
Aug 29, 2024
PURPOSE: To find the machine learning (ML) method that has the highest accuracy in predicting the semen quality of men based on basic questionnaire data about lifestyle behavior.
An artificial intelligence tool to assess the risk of severe mental distress among college students in terms of demographics, eating habits, lifestyles, and sport habits: an externally validated study using machine learning.
BMC psychiatry
Aug 27, 2024
BACKGROUND: Precisely estimating the probability of mental health challenges among college students is pivotal for facilitating timely intervention and preventative measures. However, to date, no specific artificial intelligence (AI) models have been...
AI-based digital pathology provides newer insights into lifestyle intervention-induced fibrosis regression in MASLD: An exploratory study.
Liver international : official journal of the International Association for the Study of the Liver
Jul 4, 2024
BACKGROUND AND AIMS: Lifestyle intervention is the mainstay of therapy for metabolic dysfunction-associated steatohepatitis (MASH), and liver fibrosis is a key consequence of MASH that predicts adverse clinical outcomes. The placebo response plays a ...
Predicting dyslipidemia incidence: unleashing machine learning algorithms on Lifestyle Promotion Project data.
BMC public health
Jul 3, 2024
BACKGROUND: Dyslipidemia, characterized by variations in plasma lipid profiles, poses a global health threat linked to millions of deaths annually.
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