AIMC Topic: Surveys and Questionnaires
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Improving diagnosis-based quality measures: an application of machine learning to the prediction of substance use disorder among outpatients.
BMJ open quality
Mar 22, 2025
OBJECTIVE: Substance use disorder (SUD) is clinically under-detected and under-documented. We built and validated machine learning (ML) models to estimate SUD prevalence from electronic health record (EHR) data and to assess variation in facility-lev...
Trust and Acceptance Challenges in the Adoption of AI Applications in Health Care: Quantitative Survey Analysis.
Journal of medical Internet research
Mar 21, 2025
BACKGROUND: Artificial intelligence (AI) has potential to transform health care, but its successful implementation depends on the trust and acceptance of consumers and patients. Understanding the factors that influence attitudes toward AI is crucial ...
Catenation between mHealth application advertisements and cardiovascular diseases: moderation of artificial intelligence (AI)-enabled internet of things, digital divide, and individual trust.
BMC public health
Mar 19, 2025
BACKGROUND: World Health Organization (WHO) identified noncommunicable diseases as the foremost risk to public health globally and the cause of approximately 80% of premature deaths. However, Cardiovascular diseases account for most of these prematur...
Evaluation of artificial intelligence robot's knowledge and reliability on dental implants and peri-implant phenotype.
Scientific reports
Mar 19, 2025
The aim of this study was to evaluate the reliability and quality of information generated by ChatGPT regarding dental implants and peri-implant phenotypes. A structured questionnaire on these topics was presented to the AI-based chatbot, and its res...
Does gender matter? The impact of gender and gender match on the relation between destructive leadership and follower outcomes.
BMC psychology
Mar 18, 2025
BACKGROUND: Destructive leadership has been linked to negative consequences for both organizations and followers. Research has also shown that leader gender affects follower perceptions of leadership behavior and follower outcomes [1-3]. However, kno...
A comprehensive survey and comparative analysis of time series data augmentation in medical wearable computing.
PloS one
Mar 18, 2025
Recent advancements in hardware technology have spurred a surge in the popularity and ubiquity of wearable sensors, opening up new applications within the medical domain. This proliferation has resulted in a notable increase in the availability of Ti...
Predicting treatment response to cognitive behavior therapy in social anxiety disorder on the basis of demographics, psychiatric history, and scales: A machine learning approach.
PloS one
Mar 18, 2025
Only about half of patients with social anxiety disorder (SAD) respond substantially to cognitive behavioral therapy (CBT). However, there has been little evidence available to clinicians or patients about whether any individual patient is more or le...
Using machine learning to predict depression among middle-aged and elderly population in China and conducting empirical analysis.
PloS one
Mar 18, 2025
OBJECTIVE: To develop a predictive model for evaluating depression among middle-aged and elderly individuals in China.
A novel data-driven approach for Personas validation in healthcare using self-supervised machine learning.
Journal of biomedical informatics
Mar 14, 2025
OBJECTIVE: Persona validation is a challenging task, often relying on costly external validation methods. The aim of this study was the development of a novel method for Personas validation based on data already available during their creation.
Analysis of the factors influencing the salary level and satisfaction of medical staff in hospitals in less developed areas of Western China based on machine learning algorithms: evidence from Guangxi Zhuang Autonomous Region.
BMC health services research
Mar 14, 2025
BACKGROUND: Compensation plays a critical role in motivating staff and enhancing operational performance and human resource costs in hospitals. This study was aimed at investigating pay levels and the key factors influencing pay satisfaction in secon...
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