AIMC Topic: Area Under Curve

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Residual risk prediction in anticoagulated patients with atrial fibrillation using machine learning: A report from the GLORIA-AF registry phase II/III.

European journal of clinical investigation Dec 11, 2024
BACKGROUND: Although oral anticoagulation decreases the risk of thromboembolism in patients with atrial fibrillation (AF), a residual risk of thrombotic events still exists. This study aimed to construct machine learning (ML) models to predict the re...
ROC Curve Logistic Models Ischemic Stroke Area Under Curve Anticoagulants Aged, 80 and over Male Middle Aged Risk Assessment Atrial Fibrillation Ischemic Attack, Transient Thromboembolism Registries Stroke Myocardial Infarction Thrombosis Administration, Oral Humans Machine Learning Algorithms Female Risk Factors Aged
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Prediction of mortality in sepsis patients using stacked ensemble machine learning algorithm.

Journal of postgraduate medicine Dec 6, 2024
INTRODUCTION: Machine learning (ML) has been tried in predicting outcomes following sepsis. This study aims to identify the utility of stacked ensemble algorithm in predicting mortality.
Sepsis Female Humans Cohort Studies Area Under Curve Aged Machine Learning Hospital Mortality Adult Algorithms Support Vector Machine Male Prognosis Middle Aged
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Prediction based on machine learning of tooth sensitivity for in-office dental bleaching.

Journal of dentistry Dec 5, 2024
OBJECTIVE: To develop a supervised machine learning model to predict the occurrence and intensity of tooth sensitivity (TS) in patients undergoing in-office dental bleaching testing various algorithm models.
Humans Machine Learning Adolescent ROC Curve Area Under Curve Adult Algorithms Dentin Sensitivity Male Retrospective Studies Middle Aged Female Young Adult Tooth Bleaching Tooth Bleaching Agents
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Intersection of Performance, Interpretability, and Fairness in Neural Prototype Tree for Chest X-Ray Pathology Detection: Algorithm Development and Validation Study.

JMIR formative research Dec 5, 2024
BACKGROUND: While deep learning classifiers have shown remarkable results in detecting chest X-ray (CXR) pathologies, their adoption in clinical settings is often hampered by the lack of transparency. To bridge this gap, this study introduces the neu...
Decision Trees Humans Area Under Curve Radiography, Thoracic Neural Networks, Computer Algorithms Female Male Aged Middle Aged Adult Deep Learning ROC Curve
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Predicting mental health treatment outcomes using latent growth mixture models and machine learning in a real-world clinical setting.

Journal of psychiatric research Dec 4, 2024
Previous models of depression outcomes have been limited by symptom heterogeneity within populations. This study conducted a retrospective analysis using latent growth mixture models to identify heterogeneous trajectories within a clinical population...
Veterans Outpatients Patient Health Questionnaire United States Treatment Outcome Retrospective Studies Latent Class Analysis Mental Health Services Adolescent Area Under Curve Female Stress Disorders, Post-Traumatic Outcome Assessment, Health Care Reproducibility of Results ROC Curve Aged Aged, 80 and over Young Adult Adult Humans Male Middle Aged Machine Learning Depression
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Machine Learning Models for Predicting 24-Hour Intraocular Pressure Changes: A Comparative Study.

Medical science monitor : international medical journal of experimental and clinical research Dec 3, 2024
BACKGROUND Predicting 24-hour intraocular pressure (IOP) fluctuations is crucial for enhancing glaucoma management. Traditional methods of measuring 24-hour IOP fluctuations are complex and present certain limitations. The present study leverages mac...
Humans Glaucoma Male Machine Learning Middle Aged Algorithms Female Area Under Curve Adult Circadian Rhythm Intraocular Pressure Tonometry, Ocular
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Leveraging machine learning in limited sampling strategies for efficient estimation of the area under the curve in pharmacokinetic analysis: a review.

European journal of clinical pharmacology Nov 21, 2024
OBJECTIVE: Limited sampling strategies are widely employed in clinical practice to minimize the number of blood samples required for the accurate area under the curve calculations, as obtaining these samples can be costly and challenging. Traditional...
Area Under Curve Bayes Theorem Humans Models, Biological Machine Learning Pharmacokinetics
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Development and Assessment of an AI-based Machine Learning Model for Predicting Urinary Continence and Erectile Function Recovery after Robotic-Assisted Radical Prostatectomy: Insights from a Prostate Cancer Referral Center.

Computer methods and programs in biomedicine Nov 20, 2024
INTRODUCTION: Prostate cancer remains a significant health concern, with radical prostatectomy being a common treatment approach. However, predicting postoperative functional outcomes, particularly urinary continence and erectile function, poses chal...
Recovery of Function Area Under Curve Prostatic Neoplasms Robotic Surgical Procedures Humans Algorithms Erectile Dysfunction Prostatectomy Neural Networks, Computer Aged Penile Erection Artificial Intelligence Male Urinary Incontinence Machine Learning Middle Aged
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Machine learning for stroke in heart failure with reduced ejection fraction but without atrial fibrillation: A post-hoc analysis of the WARCEF trial.

European journal of clinical investigation Nov 18, 2024
BACKGROUND: The prediction of ischaemic stroke in patients with heart failure with reduced ejection fraction (HFrEF) but without atrial fibrillation (AF) remains challenging. Our aim was to evaluate the performance of machine learning (ML) in identif...
Stroke Heart Failure Atrial Fibrillation Blood Urea Nitrogen Stroke Volume Middle Aged Support Vector Machine Humans Machine Learning Ischemic Stroke Female Area Under Curve Aged Male
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The use of 4D data-independent acquisition-based proteomic analysis and machine learning to reveal potential biomarkers for stress levels.

Journal of bioinformatics and computational biology Nov 15, 2024
Research suggests that individuals who experience prolonged exposure to stress may be at higher risk for developing psychological stress disorders. Currently, psychological stress is primarily evaluated by professional physicians using rating scales,...
Humans Machine Learning Algorithms Biomarkers Female Support Vector Machine Adult Area Under Curve Male Fibronectins Stress, Psychological Proteomics
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