AIMC Topic: Adult

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Reasoning language models for more transparent prediction of suicide risk.

BMJ mental health
BACKGROUND: We previously demonstrated that a large language model could estimate suicide risk using hospital discharge notes.

Random forest-based model for the recurrence prediction of borderline ovarian tumor: clinical development and validation.

Journal of cancer research and clinical oncology
PURPOSE: This study aims to develop an effective machine learning (ML)-based predictive model for the recurrence of borderline ovarian tumor (BOT), and provide the guidelines of accurate clinical diagnosis and precise treatment for patients.

Predictive athlete performance modeling with machine learning and biometric data integration.

Scientific reports
The Purpose of this study is to propose a new integrative framework for athletic performance prediction based on state-of-the-art machine learning analysis and biometric data biometric scanning. By merging physiological signals i.e., Heart rate varia...

Artificial intelligence voice gender, gender role congruity, and trust in automated vehicles.

Scientific reports
Existing research on human-automated vehicle (AV) interactions has largely focused on auditory explanations, with less attention to how voice characteristics shape user trust. This paper explores the influence of gender similarity between users and A...

Investigating the Use of Electrooculography Sensors to Detect Stress During Working Activities.

Sensors (Basel, Switzerland)
To tackle work-related stress in the evolving landscape of Industry 5.0, organizations need to prioritize employee well-being through a comprehensive strategy. While electrocardiograms (ECGs) and electrodermal activity (EDA) are widely adopted physio...

The relationship between mindfulness and second language resilience among Chinese English majors: the mediating role of academic hope.

BMC psychology
BACKGROUND: In light of the heightened expectations surrounding the development of foreign language professionals in the age of artificial intelligence and the pursuit of academic excellence in Asian culture, Chinese English majors are faced with tre...

Application of machine learning for the analysis of peripheral blood biomarkers in oral mucosal diseases: a cross-sectional study.

BMC oral health
BACKGROUND: Oral mucosal lesions are widespread globally, have a high prevalence in clinical practice, and significantly impact patients' quality of life. However, their pathogenesis remains unclear. Recent evidences suggested that hematological para...

A deep learning framework for virtual continuous glucose monitoring and glucose prediction based on life-log data.

Scientific reports
While continuous glucose monitoring (CGM) has revolutionized metabolic health management, widespread adoption remains limited by cost constraints and usage burden, often resulting in interrupted monitoring periods. We propose a deep learning framewor...

Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data.

Scientific reports
Restless legs syndrome (RLS) is a relatively common neurosensory disorder that causes an irresistible urge for leg movement. RLS causes sleep disturbances and reduced quality of life, but accurate diagnosis remains challenging owing to the reliance o...

Radiomics prediction of surgery in ulcerative colitis refractory to medical treatment.

Techniques in coloproctology
BACKGROUND: The surgeries in drug-resistant ulcerative colitis are determined by complex factors. This study evaluated the predictive performance of radiomics analysis on the basis of whether patients with ulcerative colitis in hospital were in the s...