AIMC Topic: Registries

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Raising awareness may increase the likelihood of hematopoietic stem cell donation: a nationwide survey using artificial intelligence.

International journal of hematology Dec 12, 2024
BACKGROUND: In Italy, the demand for allogeneic transplantation exceeds the number of compatible donors in the Italian Bone Marrow Donor Registry (IBMDR). This study aimed to explore the knowledge, beliefs, opinions, values, and feelings of the Itali...
Surveys and Questionnaires Tissue Donors Health Knowledge, Attitudes, Practice Italy Registries Female Adult Male Middle Aged Hematopoietic Stem Cell Transplantation Hematopoietic Stem Cells Humans Artificial Intelligence Machine Learning Retrospective Studies
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Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Dec 12, 2024
BACKGROUND: Stroke-associated Hospital Acquired Pneumonia (HAP) significantly impacts patient outcomes. This study explores the utility of machine learning models in predicting HAP in stroke patients, leveraging national registry data and SHapley Add...
Ischemic Stroke Registries Stroke Hemorrhagic Stroke Healthcare-Associated Pneumonia Aged, 80 and over Male Middle Aged Risk Assessment Predictive Value of Tests Prognosis Female Risk Factors Humans Aged Machine Learning Decision Support Techniques
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Residual risk prediction in anticoagulated patients with atrial fibrillation using machine learning: A report from the GLORIA-AF registry phase II/III.

European journal of clinical investigation Dec 11, 2024
BACKGROUND: Although oral anticoagulation decreases the risk of thromboembolism in patients with atrial fibrillation (AF), a residual risk of thrombotic events still exists. This study aimed to construct machine learning (ML) models to predict the re...
Algorithms Female Risk Factors Aged Aged, 80 and over Humans Machine Learning Stroke Myocardial Infarction Logistic Models Thrombosis Ischemic Stroke Administration, Oral Male Atrial Fibrillation Area Under Curve Middle Aged Ischemic Attack, Transient Anticoagulants Risk Assessment Thromboembolism Registries ROC Curve
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Ontology-based integration and querying of heterogeneous rare disease data sources - POLVAS perspective.

Computers in biology and medicine Dec 2, 2024
The integration of rare disease medical databases belonging to different countries is an important problem, as a large number of observations are required for reliable statistical inference of patient data in order to facilitate clinical research. Su...
Information Sources Humans Registries Databases, Factual Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis Biological Ontologies Rare Diseases
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Using machine learning models for predicting monthly iPTH levels in hemodialysis patients.

Computer methods and programs in biomedicine Nov 30, 2024
BACKGROUND AND OBJECTIVE: Intact parathyroid hormone (iPTH), also known as active parathyroid hormone, is an important indicator commonly for monitoring secondary hyperparathyroidism (SHPT) in patients undergoing hemodialysis. The aim of this study w...
Male Predictive Value of Tests Humans Risk Assessment Registries Machine Learning Renal Dialysis Parathyroid Hormone Retrospective Studies Time Factors Hyperparathyroidism, Secondary Female Taiwan
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Left Atrial Wall Thickness Measured by a Machine Learning Method Predicts AF Recurrence After Pulmonary Vein Isolation.

Journal of cardiovascular electrophysiology Nov 29, 2024
BACKGROUND: Left atrial (LA) remodeling plays a significant role in the progression of atrial fibrillation (AF). Although LA wall thickness (LAWT) has emerged as an indicator of structural remodeling, its impact on AF outcomes remains unclear. We aim...
Time Factors Humans Treatment Outcome Action Potentials Fibrosis Machine Learning Aged Catheter Ablation Retrospective Studies Atrial Fibrillation Predictive Value of Tests Male Recurrence Heart Atria Female Registries Middle Aged Atrial Function, Left Heart Rate Risk Assessment Risk Factors Pulmonary Veins Atrial Remodeling
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Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models.

BMC psychiatry Nov 21, 2024
BACKGROUND: Suicidal behaviors, which may lead to death (suicide) or survival (suicide attempt), are influenced by various factors. Identifying the specific risk factors for suicidal behavior mortality is critical for improving prevention strategies ...
Suicide, Attempted Adolescent Suicidal Ideation Suicide Registries Iran Aged Young Adult Adult Humans Male Machine Learning Middle Aged Female Risk Factors
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Using machine learning to identify pediatric ophthalmologists.

Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus Nov 19, 2024
This cross-sectional study used data from the American Academy of Ophthalmology IRIS Registry (Intelligent Research in Sight) and machine learning algorithms to identify pediatric ophthalmologists based on physician coding patterns. A random forest m...
Humans Ophthalmology Machine Learning Registries Algorithms Cross-Sectional Studies Pediatrics Ophthalmologists Child ROC Curve United States
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Classifying Tumor Reportability Status From Unstructured Electronic Pathology Reports Using Language Models in a Population-Based Cancer Registry Setting.

JCO clinical cancer informatics Nov 19, 2024
PURPOSE: Population-based cancer registries (PBCRs) collect data on all new cancer diagnoses in a defined population. Data are sourced from pathology reports, and the PBCRs rely on manual and rule-based solutions. This study presents a state-of-the-a...
Retrospective Studies Electronic Health Records Neoplasms Natural Language Processing Humans Registries British Columbia
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Using Artificial Intelligence to Identify Three Presenting Phenotypes of Chiari Type-1 Malformation and Syringomyelia.

Neurosurgery Nov 18, 2024
BACKGROUND AND OBJECTIVES: Chiari type-1 malformation (CM1) and syringomyelia (SM) are common related pediatric neurosurgical conditions with heterogeneous clinical and radiological presentations that offer challenges related to diagnosis and managem...
Humans Artificial Intelligence Phenotype Female Child, Preschool Child Registries Arnold-Chiari Malformation Syringomyelia Adult Male Infant Adolescent Cohort Studies
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