AIMC Topic: Predictive Learning Models

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Prediction model for lateral lymph node metastasis of papillary thyroid carcinoma in children and adolescents based on ultrasound imaging and clinical features: a retrospective study.

BMC medical imaging Aug 29, 2024
BACKGROUND: The presence of lateral lymph node metastases (LNM) in paediatric patients with papillary thyroid cancer (PTC) is an independent risk factor for recurrence. We aimed to identify risk factors and establish a prediction model for lateral LN...
Thyroid Cancer, Papillary Predictive Learning Models Regression Analysis Predictive Value of Tests Area Under Curve Reference Values Ultrasonography ROC Curve Lymph Nodes Lymphatic Metastasis Humans Retrospective Studies Female Risk Factors Risk Assessment Adolescent Thyroid Neoplasms Young Adult Male
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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 Reproducibility of Results Scoliosis Young Adult Predictive Learning Models Cross-Sectional Studies Spine Predictive Value of Tests Male Severity of Illness Index Humans Photogrammetry Radiography Deep Learning Clinical Studies as Topic Adolescent Child
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Machine learning-optimized advanced oxidation for enhanced sludge dewatering: EPS mechanistic insights and predictive modeling.

Water research Sep 1, 2025
The recalcitrant nature of extracellular polymeric substances (EPS) in sewage sludge severely limits dewatering efficiency. While advanced oxidation processes (AOPs) disrupt EPS matrices, their optimization remains challenging. This study integrates ...
Water Pollution Sewage Machine Learning Desiccation Waste Disposal, Fluid Predictive Learning Models Models, Chemical Extracellular Polymeric Substance Matrix
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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...
Proportional Hazards Models Antidepressive Agents Cost of Illness Olanzapine Sertraline Benzodiazepines Sociodemographic Factors Drug Therapy, Combination Antipsychotic Agents Predictive Learning Models Adult Female Male Regression Analysis Adolescent Middle Aged Aged Remission Induction Treatment Outcome Depressive Disorder, Major Aged, 80 and over Psychotic Disorders Young Adult Humans Machine Learning
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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 Image Processing, Computer-Assisted Multimodal Imaging Area Under Curve Data Accuracy Image Interpretation, Computer-Assisted Female Male Ultrasonography Liver Neoplasms 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.
Female Aged Aged, 80 and over Adult Risk Assessment Severity of Illness Index Length of Stay Male Middle Aged Artificial Intelligence Machine Learning Retrospective Studies Intensive Care Units Cross Infection Humans Western Australia Logistic Models Iatrogenic Disease Operative Time Predictive Learning Models Decision Trees Early Diagnosis
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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...
Preoperative Period Serum Albumin Predictive Learning Models ROC Curve Male Hepatectomy Predictive Value of Tests Humans Aspartate Aminotransferases Middle Aged Liver Function Tests Area Under Curve Databases, Factual Bilirubin Risk Assessment Liver Failure Platelet Count Female Postoperative Complications Aged
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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.
Keloid Recurrence Predictive Learning Models Postoperative Complications Adolescent ROC Curve Decision Trees Humans Machine Learning Adult Male Middle Aged Prognosis Female
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