AIMC Topic: Predictive Learning Models

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Deep learning prediction of curve severity from rasterstereographic back images in adolescent idiopathic scoliosis.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Dec 6, 2023
PURPOSE: Radiation-free systems based on dorsal surface topography can potentially represent an alternative to radiographic examination for early screening of scoliosis, based on the ability of recognizing the presence of deformity or classifying its...
Anthropometry Scoliosis Predictive Learning Models Cross-Sectional Studies Radiography Male Spine Severity of Illness Index Adolescent Photogrammetry Deep Learning Child Clinical Studies as Topic Predictive Value of Tests Humans Reproducibility of Results Young Adult
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Prediction of remission of pharmacologically treated psychotic depression: A machine learning approach.

Journal of affective disorders Jul 15, 2025
BACKGROUND: The combination of antidepressant and antipsychotic medication is an effective treatment for major depressive disorder with psychotic features ('psychotic depression'). The present study aims to identify sociodemographic and clinical pred...
Psychotic Disorders Benzodiazepines Sociodemographic Factors Drug Therapy, Combination Treatment Outcome Aged, 80 and over Regression Analysis Young Adult Remission Induction Adult Humans Cost of Illness Depressive Disorder, Major Antipsychotic Agents Machine Learning Olanzapine Adolescent Female Proportional Hazards Models Sertraline Male Aged Antidepressive Agents Predictive Learning Models Middle Aged
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Towards robust multimodal ultrasound classification for liver tumor diagnosis: A generative approach to modality missingness.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: In medical image analysis, combining multiple imaging modalities enhances diagnostic accuracy by providing complementary information. However, missing modalities are common in clinical settings, limiting the effectiveness of...
Humans Female Image Processing, Computer-Assisted Multimodal Imaging Area Under Curve Data Accuracy Male Ultrasonography Liver Neoplasms Image Interpretation, Computer-Assisted Predictive Learning Models Classification Algorithms
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Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach.

Health information management : journal of the Health Information Management Association of Australia May 1, 2025
BACKGROUND: Hospital-acquired complications (HACs) have an adverse impact on patient recovery by impeding their path to full recovery and increasing healthcare costs.
Predictive Learning Models Cross Infection Western Australia Iatrogenic Disease Machine Learning Retrospective Studies Humans Artificial Intelligence Risk Assessment Severity of Illness Index Aged, 80 and over Intensive Care Units Length of Stay Decision Trees Male Adult Female Early Diagnosis Logistic Models Middle Aged Aged Operative Time
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An APRI+ALBI-Based Multivariable Model as a Preoperative Predictor for Posthepatectomy Liver Failure.

Annals of surgery May 1, 2025
OBJECTIVE AND BACKGROUND: Clinically significant posthepatectomy liver failure (PHLF B+C) remains the main cause of mortality after major hepatic resection. This study aimed to establish an aspartate aminotransferase to platelet ratio combined with a...
Humans Liver Failure Aged Databases, Factual Preoperative Period Risk Assessment Male Female Postoperative Complications Serum Albumin Middle Aged Bilirubin Platelet Count ROC Curve Predictive Learning Models Predictive Value of Tests Hepatectomy Aspartate Aminotransferases Area Under Curve Liver Function Tests
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Comparison of Predictive Models for Keloid Recurrence Based on Machine Learning.

Journal of cosmetic dermatology Feb 1, 2025
OBJECTIVES: To establish, evaluate and compare three recurrence prediction models for keloid patients using machine learning methods.
Recurrence Predictive Learning Models ROC Curve Decision Trees Keloid Prognosis Female Adult Postoperative Complications Adolescent Male Middle Aged Humans Machine Learning
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