AIMC Topic: Risk Factors
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Assessment of suicidal risk factors in young depressed persons with non-suicidal self-injury based on an artificial intelligence.
BMC psychology
Jul 8, 2025
INTRODUCTION: The role of non-suicidal self-injury (NSSI) in the suicide process of people with major depressive disorder(MDD) remains controversial. Therefore, the purpose of this study was to investigate the role NSSI plays in suicide risk in peopl...
Enhancing stroke risk prediction through class balancing and data augmentation with CBDA-ResNet50.
Scientific reports
Jul 8, 2025
Accurate prediction of stroke risk at an early stage is essential for timely intervention and prevention, especially given the serious health consequences and economic burden that strokes can cause. In this study, we proposed a class-balanced and dat...
Identifying Psychosocial, Self-Management, and Health Profiles Among Women With Chronic Pain Who Have Experienced Intimate Partner Violence and Those Who Have Not: Protocol for a 2-Phase Qualitative and Cross-Sectional Study Using AI Techniques.
JMIR research protocols
Jul 8, 2025
BACKGROUND: Women who experience intimate partner violence (IPV) are more likely to develop disabling chronic pain (CP). However, there is little information on what it means to live with CP while being exposed to IPV. In addition, despite well-estab...
Enhancing diabetes risk prediction through focal active learning and machine learning models.
PloS one
Jul 8, 2025
To improve the effectiveness of diabetes risk prediction, this study proposes a novel method based on focal active learning strategies combined with machine learning models. Existing machine learning models often suffer from poor performance on imbal...
Association of dietary quality, biological aging, progression and mortality of cardiovascular-kidney-metabolic syndrome: insights from mediation and machine learning approaches.
Nutrition journal
Jul 7, 2025
BACKGROUND: To investigate the association between the Dietary Inflammatory Index (DII), biological aging, and the staging and mortality of cardiovascular-kidney-metabolic (CKM) syndrome.
Assessing chronic obstructive pulmonary disease risk based on exhalation and cough sounds.
Biomedical engineering online
Jul 5, 2025
BACKGROUND AND OBJECTIVE: Chronic obstructive pulmonary disease (COPD), a progressively worsening respiratory condition, severely impacts patient quality of life. Early risk assessment can improve treatment outcomes and lessen healthcare burdens. How...
Employing machine learning for early detection of poly-victimization in rural children: a survey study in China's Chaoshan region.
BMC public health
Jul 5, 2025
BACKGROUND: Poly-victimization (PV), encompassing multiple forms of victimization including physical abuse, emotional maltreatment, neglect, and peer violence, poses a significant public health challenge among children, particularly in rural areas wi...
Prediction of three-year all-cause mortality in patients with heart failure and atrial fibrillation using the CatBoost model.
BMC cardiovascular disorders
Jul 4, 2025
BACKGROUND: Heart failure and atrial fibrillation (HF-AF) frequently coexist, resulting in complex interactions that substantially elevate mortality risk. This study aimed to develop and validate a machine learning (ML) model predicting the 3-year al...
Heart Failure
Aged
Risk Assessment
Humans
Retrospective Studies
Atrial Fibrillation
Time Factors
Aged, 80 and over
Boosting Machine Learning Algorithms
Machine Learning
Female
Predictive Value of Tests
Male
Decision Support Techniques
Reproducibility of Results
Cause of Death
Middle Aged
Prognosis
Risk Factors
Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach.
Scientific reports
Jul 4, 2025
Pediatric gastroenteritis is a major reason for sickness and death among children worldwide, especially in places where healthcare and clean sanitation are scarce. Conventional methods of diagnosis overlook possible risks and seasonal trends, which r...
Leveraging pathological markers of lower grade glioma to predict the occurrence of secondary epilepsy, a retrospective study.
Scientific reports
Jul 4, 2025
Epilepsy is a common manifestation in patients with lower grade glioma (LGG), often presenting as the initial symptom in approximately 70% of cases. This study aimed to identify clinical and pathological markers for epileptic seizures in patients wit...
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