AIMC Topic: Risk Factors

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Deconstructing Cognitive Impairment in Psychosis With a Machine Learning Approach.

JAMA psychiatry Jan 1, 2025
IMPORTANCE: Cognitive functioning is associated with various factors, such as age, sex, education, and childhood adversity, and is impaired in people with psychosis. In addition to specific effects of the disorder, cognitive impairments may reflect a...
Psychotic Disorders Middle Aged Cognitive Dysfunction Bipolar Disorder Schizophrenia Humans Machine Learning Female Risk Factors Adult Cross-Sectional Studies Male
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Using Machine Learning and Artificial Intelligence to Predict Diabetes Mellitus among Women Population.

Current diabetes reviews Jan 1, 2025
BACKGROUND: Diabetes Mellitus is a chronic health condition (long-lasting) due to inadequate control of blood levels of glucose. This study presents a prediction of Type 2 Diabetes Mellitus among women using various Machine Learning Algorithms deploy...
Humans Artificial Intelligence Machine Learning Algorithms Blood Glucose Diabetes Mellitus, Type 2 Pregnancy Logistic Models Female Body Mass Index Risk Factors Support Vector Machine Adult
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Risk prediction of integrated traditional Chinese and western medicine for diabetes retinopathy based on optimized gradient boosting classifier model.

Medicine Dec 20, 2024
In order to take full advantage of traditional Chinese medicine (TCM) and western medicine, combined with machine learning technology, to study the risk factors and better risk prediction model of diabetic retinopathy (DR), and provide basis for the ...
Male Female Support Vector Machine Risk Factors Middle Aged Humans Medicine, Chinese Traditional Aged Risk Assessment Diabetic Retinopathy Adult Diabetes Mellitus, Type 2 Machine Learning Retrospective Studies
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Survival analysis of clear cell renal cell carcinoma based on radiomics and deep learning features from CT images.

Medicine Dec 20, 2024
PURPOSE: To create a nomogram for accurate prognosis of patients with clear cell renal cell carcinoma (ccRCC) based on computed tomography images.
Adult Humans Radiomics Prognosis Proportional Hazards Models Male ROC Curve Retrospective Studies Middle Aged Kaplan-Meier Estimate Nomograms Deep Learning Carcinoma, Renal Cell Survival Analysis Kidney Neoplasms Tomography, X-Ray Computed Female Risk Factors Aged
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Determinants of developing cardiovascular disease risk with emphasis on type-2 diabetes and predictive modeling utilizing machine learning algorithms.

Medicine Dec 6, 2024
This research aims to enhance our comprehensive understanding of the influence of type-2 diabetes on the development of cardiovascular diseases (CVD) risk, its underlying determinants, and to construct precise predictive models capable of accurately ...
Risk Factors Aged Young Adult Adult Male Humans Machine Learning Algorithms Female Diabetes Mellitus, Type 2 Socioeconomic Factors Hypertension Bangladesh Cardiovascular Diseases Middle Aged Risk Assessment Adolescent
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Stratification of Early Arrhythmic Risk in Patients Admitted for Acute Coronary Syndrome: The Role of the Machine Learning-Derived "PRAISE Score".

Clinical cardiology Dec 1, 2024
BACKGROUND: The PRAISE (PRedicting with Artificial Intelligence riSk aftEr acute coronary syndrome) score is a machine learning-based model for predicting 1-year adverse cardiovascular or bleeding events in patients with acute coronary syndrome (ACS)...
Time Factors ROC Curve Predictive Value of Tests Atrial Fibrillation Acute Coronary Syndrome Humans Machine Learning Aged Male Middle Aged Risk Assessment Prospective Studies Prognosis Female Risk Factors
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The TabNet Model for Diagnosing Axial Spondyloarthritis Using MRI Imaging Findings and Clinical Risk Factors.

International journal of rheumatic diseases Dec 1, 2024
OBJECTIVES: The aim of this study is to develop and validate a model for predicting axial spondyloarthritis (axSpA) based on sacroiliac joint (SIJ)-MRI imaging findings and clinical risk factors.
Sacroiliac Joint Axial Spondyloarthritis Male Humans Middle Aged Neural Networks, Computer Female Magnetic Resonance Imaging Machine Learning Reproducibility of Results Decision Support Techniques Predictive Value of Tests Risk Factors Image Interpretation, Computer-Assisted Adult
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Machine learning to predict adverse drug events based on electronic health records: a systematic review and meta-analysis.

The Journal of international medical research Dec 1, 2024
OBJECTIVE: This systematic review aimed to provide a comprehensive overview of the application of machine learning (ML) in predicting multiple adverse drug events (ADEs) using electronic health record (EHR) data.
Drug-Related Side Effects and Adverse Reactions Humans Machine Learning Electronic Health Records Risk Factors ROC Curve Support Vector Machine Area Under Curve
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Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Journal of cellular and molecular medicine Dec 1, 2024
Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently complicated by acute respiratory distress syndrome (ARDS), which increases mortality risks. Investigating the prognostic implications of ARDS-related genes ...
Male Risk Assessment Gene Expression Profiling Lung Neoplasms Gene Expression Regulation, Neoplastic Respiratory Distress Syndrome DNA Copy Number Variations Mutation Adenocarcinoma of Lung Prognosis Humans Female Machine Learning Risk Factors Algorithms Biomarkers, Tumor
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Predicting Suicides Among US Army Soldiers After Leaving Active Service.

JAMA psychiatry Dec 1, 2024
IMPORTANCE: The suicide rate of military servicemembers increases sharply after returning to civilian life. Identifying high-risk servicemembers before they leave service could help target preventive interventions.
Humans United States Military Personnel Young Adult Adult Male Suicide Machine Learning Prognosis Female Risk Factors
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