AIMC Topic: Machine Learning

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Algorithmic Fairness in Machine Learning Prediction of Autism Using Electronic Health Records.

Studies in health technology and informatics Aug 7, 2025
Efforts to improve early diagnosis of autism spectrum disorder (ASD) in children are beginning to use machine learning (ML) approaches applied to real-world clinical datasets, such as electronic health records (EHRs). However, sex-based disparities i...
Electronic Health Records Algorithms Female Autism Spectrum Disorder Case-Control Studies Male Retrospective Studies Child, Preschool Humans Child Machine Learning
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Personalized Prediction of Chronic Kidney Disease Progression in Patients with Chronic Kidney Disease Stages 3-5: A Multicenter Study Using the Machine Learning Approach.

Studies in health technology and informatics Aug 7, 2025
Chronic Kidney Disease (CKD) is a prevalent and progressive condition that can lead to end-stage renal disease (ESRD) if left unmanaged. Accurate prediction of CKD progression, particularly in patients with CKD stages 3-5, is essential for early inte...
Female Aged Male Humans Machine Learning Precision Medicine Glomerular Filtration Rate Middle Aged Taiwan Disease Progression Renal Insufficiency, Chronic
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Early Detection of Acute Coronary Syndrome Using a Mobile Digital Health Application.

Studies in health technology and informatics Aug 7, 2025
Early detection of acute coronary syndrome (ACS) is vital for reducing ischemic time and preserving more heart muscle.Chest pain is the most common symptom of acute coronary syndrome (ACS). This study used a quick chest pain assessment questionnaire ...
Humans Middle Aged Diagnosis, Computer-Assisted Surveys and Questionnaires Mobile Applications Chest Pain Reproducibility of Results Telemedicine Sensitivity and Specificity Male Machine Learning Acute Coronary Syndrome Digital Health Early Diagnosis Female
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ICU Length of Stay Prediction for Patients with Diabetes Using Machine Learning and Clinical Notes.

Studies in health technology and informatics Aug 7, 2025
Diabetes, a chronic disease, often leads to poor health outcomes and increased healthcare costs, particularly for patients admitted to ICU. Accurate early prediction of ICU length of stay (LOS) is vital for hospital resource management and patient ou...
Electronic Health Records Female Male Length of Stay Neural Networks, Computer Humans Diabetes Mellitus Machine Learning Intensive Care Units
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A Performance-Based Voting Framework for Assertion Detection in Clinical Notes.

Studies in health technology and informatics Aug 7, 2025
Extracting structured information from unstructured clinical text remains a critical challenge in healthcare. This study introduces a robust framework for clinical assertion detection, integrating domain-specific embeddings like BioBERT, contextualiz...
Data Mining Voting Machine Learning Electronic Health Records Natural Language Processing Humans
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Exploring Machine Learning for Predicting Peripheral and Central Precocious Puberty Through Cross-Hospital Validation.

Studies in health technology and informatics Aug 7, 2025
Precocious puberty, including Peripheral Precocious Puberty (PPP) and Central Precocious Puberty (CPP), presents diagnostic challenges in pediatric endocrinology, leading to delayed interventions. This study utilized machine learning models-Random Fo...
Child Puberty, Precocious Machine Learning Electronic Health Records Female Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Humans
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Time-Aware Tranformer-Based Prediction Model for AECOPD.

Studies in health technology and informatics Aug 7, 2025
The rapid symptom change of Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) makes it critical to have time-sensitive prediction models. However, most current machine learning models studying AECOPD use clinical and laboratory dat...
Machine Learning Pulmonary Disease, Chronic Obstructive Disease Progression Humans Diagnosis, Computer-Assisted
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Type 2 Diabetes Subtyping via Phenotype and Genotype Co-Learning.

Studies in health technology and informatics Aug 7, 2025
Interpreting and subtyping type 2 diabetes (T2D) is challenging yet essential for achieving fine-grained pathophysiological insights and precise clinical stratification. Previous studies have primarily relied on a small number of pre-selected risk fa...
Phenotype Precision Medicine Female Humans Machine Learning Male Genotype Diabetes Mellitus, Type 2 Genetic Predisposition to Disease
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Comparing Deterministic and Stochastic Reinforcement Learning for Glucose Regulation in Type 1 Diabetes.

Studies in health technology and informatics Aug 7, 2025
Type 1 Diabetes (T1D) is a chronic condition affecting millions worldwide, requiring external insulin administration to regulate blood glucose levels and prevent serious complications. Artificial Pancreas Systems (APS) for managing T1D currently rely...
Pancreas, Artificial Diabetes Mellitus, Type 1 Stochastic Processes Reinforcement, Psychology Algorithms Computer Simulation Adult Humans Adolescent Machine Learning Blood Glucose Insulin
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Evaluation of Federated Learning Using Standardized EHR Data in Japan.

Studies in health technology and informatics Aug 7, 2025
This study addresses privacy concerns in multi-institutional data sharing by applying federated learning (FL) to develop a predictive model for prolonged air leaks (PAL) following video-assisted thoracoscopic surgery (VATS). Utilizing standardized el...
Humans Machine Learning Japan Information Dissemination Federated Learning Electronic Health Records Confidentiality Thoracic Surgery, Video-Assisted
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