AIMC Topic: Health Status
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Assessing the feasibility of a mobile health-supported clinical decision support system for nutritional triage in oncology outpatients using Arden Syntax.
Artificial intelligence in medicine
Oct 22, 2015
BACKGROUND: Nutritional screening procedures followed by regular nutrition monitoring for oncological outpatients are no standard practice in many European hospital wards and outpatient settings. As a result, early signs of malnutrition are missed an...
Sentiment analysis in medical settings: New opportunities and challenges.
Artificial intelligence in medicine
May 1, 2015
OBJECTIVE: Clinical documents reflect a patient's health status in terms of observations and contain objective information such as descriptions of examination results, diagnoses and interventions. To evaluate this information properly, assessing posi...
Using the Knowledge Base of Health Services Research to Redefine Health Care Systems.
Journal of general internal medicine
Apr 4, 2015
This Perspective discusses 12 key facts derived from 50 years of health services research and argues that this knowledge base can stimulate innovative thinking about how to make health care systems safer, more efficient, more cost effective, and more...
Non-invasive health status detection system using Gabor filters based on facial block texture features.
Journal of medical systems
Feb 27, 2015
Blood tests allow doctors to check for certain diseases and conditions. However, using a syringe to extract the blood can be deemed invasive, slightly painful, and its analysis time consuming. In this paper, we propose a new non-invasive system to de...
Identifying the key predictors of positive self-perceptions of aging using machine learning.
Social science & medicine (1982)
Jun 1, 2025
This study aimed to identify key predictors of self-perceptions of aging (SPA) among older adults by examining a comprehensive set of potential predictors across physical, psychological, social, and demographic domains. Data from over 4000 American a...
Deep learning health space model for ordered responses.
BMC medical informatics and decision making
May 16, 2025
BACKGROUND: As personalized medicine becomes more prevalent, the objective measurement and visualization of an individual's health status are becoming increasingly crucial. However, as the dimensions of data collected from each individual increase, t...
Key Predictors of Generativity in Adulthood: A Machine Learning Analysis.
The journals of gerontology. Series B, Psychological sciences and social sciences
Mar 12, 2025
OBJECTIVES: This study aimed to explore a broad range of predictors of generativity in older adults. The study included over 60 predictors across multiple domains, including personality, daily functioning, socioeconomic factors, health status, and me...
Identification and Prioritization of Health Indexes in Nomadic Tribespeople by Fuzzy Delphi Method: An Ecological Study.
Inquiry : a journal of medical care organization, provision and financing
Jan 1, 2024
The migratory lifestyle of nomadic communities, combined with the lack of a suitable health-related organizational structure, has made it difficult to provide health care services that can improve their health status. To achieve the concept of justic...
Studying Healthy Psychosislike Experiences to Improve Illness Prediction.
JAMA psychiatry
May 1, 2023
IMPORTANCE: Distinguishing delusions and hallucinations from unusual beliefs and experiences has proven challenging.
A comparative study of the 2D- and 3D-based skeleton avatar technology for assessing physical activity and functioning among healthy older adults.
Health informatics journal
Jan 1, 2023
Maintaining physical activity (PA) and functioning (mobility, balance) is essential for older adults' well-being and quality of life. However, current methods (functional tests, self-reports) and available techniques (accelerometers, sensors, advanc...
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