AIMC Topic: Predictive Learning Models

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Low-pass whole genome sequencing of circulating tumor cells to evaluate chromosomal instability in triple-negative breast cancer.

Scientific reports Sep 3, 2024
Chromosomal Instability (CIN) is a common and evolving feature in breast cancer. Large-scale Transitions (LSTs), defined as chromosomal breakages leading to gains or losses of at least 10 Mb, have recently emerged as a metric of CIN due to their stan...
Chromosomal Instability Neoplastic Cells, Circulating Whole Genome Sequencing Feasibility Studies DNA Repair Predictive Learning Models Humans Machine Learning Female Reproducibility of Results Cell Line, Tumor Triple Negative Breast Neoplasms Cell Proliferation DNA Copy Number Variations Area Under Curve
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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...
Humans Retrospective Studies Female Risk Factors Young Adult Male Thyroid Cancer, Papillary Predictive Learning Models Lymph Nodes Lymphatic Metastasis Risk Assessment Regression Analysis Adolescent Predictive Value of Tests Thyroid Neoplasms Area Under Curve Ultrasonography Reference Values ROC Curve
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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...
Deep Learning Adolescent Child Predictive Value of Tests Radiography Spine Reproducibility of Results Young Adult Cross-Sectional Studies Male Severity of Illness Index Humans Photogrammetry Clinical Studies as Topic Anthropometry Scoliosis Predictive Learning Models
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A machine learning-based prediction model for sepsis-associated delirium in intensive care unit patients with sepsis-associated acute kidney injury.

Renal failure Dec 1, 2025
Sepsis-associated acute kidney injury (SA-AKI) patients in the ICU often suffer from sepsis-associated delirium (SAD), which is linked to unfavorable outcomes. This research aimed to develop a machine learning-based model for early SAD prediction in ...
ROC Curve Logistic Models Decision Trees Predictive Value of Tests Area Under Curve Humans Databases, Factual Delirium Bayes Theorem Aged Machine Learning Retrospective Studies Predictive Learning Models Aged, 80 and over Sepsis-Associated Encephalopathy Acute Kidney Injury Male Intensive Care Units Female Middle Aged Reproducibility of Results Sepsis
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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 ...
Models, Chemical Water Pollution Sewage Desiccation Predictive Learning Models Extracellular Polymeric Substance Matrix Machine Learning Waste Disposal, Fluid
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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...
Young Adult Adult Male Middle Aged Depressive Disorder, Major Adolescent Humans Machine Learning Female Aged Aged, 80 and over Olanzapine Sertraline Predictive Learning Models Sociodemographic Factors Drug Therapy, Combination Treatment Outcome Antipsychotic Agents Regression Analysis Proportional Hazards Models Remission Induction Antidepressive Agents Psychotic Disorders Cost of Illness Benzodiazepines
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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...
Multimodal Imaging Area Under Curve Data Accuracy Image Interpretation, Computer-Assisted Predictive Learning Models Classification Algorithms Female Male Ultrasonography Liver Neoplasms Image Processing, Computer-Assisted Humans
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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.
Early Diagnosis Cross Infection Western Australia Iatrogenic Disease Humans Predictive Learning Models Artificial Intelligence Risk Assessment Machine Learning Aged Severity of Illness Index Retrospective Studies Aged, 80 and over Length of Stay Intensive Care Units Adult Logistic Models Female Male Operative Time Decision Trees Middle Aged
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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...
Area Under Curve Platelet Count Middle Aged Liver Function Tests Aspartate Aminotransferases Risk Assessment Bilirubin Liver Failure Postoperative Complications Humans Hepatectomy Preoperative Period ROC Curve Databases, Factual Serum Albumin Predictive Value of Tests Female Predictive Learning Models Aged Male
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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.
Adult Male Middle Aged Postoperative Complications Adolescent Humans ROC Curve Machine Learning Decision Trees Prognosis Keloid Female Recurrence Predictive Learning Models
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