AIMC Topic: Area Under Curve

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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 Algorithms ROC Curve Area Under Curve Male Dentin Sensitivity Middle Aged Tooth Bleaching Tooth Bleaching Agents Retrospective Studies Adolescent Female Young Adult Adult
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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 Area Under Curve Humans Neural Networks, Computer Radiography, Thoracic Male Algorithms Middle Aged Female Deep Learning Aged ROC Curve Adult
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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...
Adolescent Stress Disorders, Post-Traumatic ROC Curve United States Treatment Outcome Male Middle Aged Depression Latent Class Analysis Outpatients Patient Health Questionnaire Mental Health Services Area Under Curve Outcome Assessment, Health Care Veterans Humans Machine Learning Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult
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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 Area Under Curve Female Circadian Rhythm Adult Tonometry, Ocular Intraocular Pressure
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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 Humans Bayes Theorem Machine Learning Models, Biological 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...
Erectile Dysfunction Area Under Curve Penile Erection Prostatic Neoplasms Urinary Incontinence Robotic Surgical Procedures Prostatectomy Algorithms Aged Male Middle Aged Recovery of Function Humans Neural Networks, Computer Artificial Intelligence Machine Learning
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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...
Humans Machine Learning Female Aged Male Area Under Curve Stroke Stroke Volume Heart Failure Middle Aged Atrial Fibrillation Support Vector Machine Blood Urea Nitrogen Ischemic Stroke
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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,...
Support Vector Machine Area Under Curve Fibronectins Female Humans Adult Male Machine Learning Stress, Psychological Algorithms Proteomics Biomarkers
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Predicting stroke severity of patients using interpretable machine learning algorithms.

European journal of medical research Nov 14, 2024
BACKGROUND: Stroke is a significant global health concern, ranking as the second leading cause of death and placing a substantial financial burden on healthcare systems, particularly in low- and middle-income countries. Timely evaluation of stroke se...
Humans Machine Learning Retrospective Studies Female Risk Factors Aged Area Under Curve Datasets as Topic Severity of Illness Index Registries Triglycerides Young Adult Length of Stay Stroke Adult Adolescent Iran Male Age Factors Middle Aged Predictive Value of Tests
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Detection of breast cancer using machine learning on time-series diffuse optical transillumination data.

Journal of biomedical optics Nov 11, 2024
SIGNIFICANCE: Optical mammography as a promising tool for cancer diagnosis has largely fallen behind expectations. Modern machine learning (ML) methods offer ways to improve cancer detection in diffuse optical transmission data.
Area Under Curve Breast Image Interpretation, Computer-Assisted Optical Imaging Transillumination Breast Neoplasms ROC Curve Image Processing, Computer-Assisted Support Vector Machine Humans Machine Learning Female
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