AI Medical Compendium Journal:
International journal of medical informatics

Showing 141 to 150 of 372 articles

Assessing domain adaptation in adverse drug event extraction on real-world breast cancer records.

International journal of medical informatics Jul 9, 2024
BACKGROUND: Adverse Drug Events (ADE) are key information present in unstructured portions of Electronic Health Records. These pose a significant challenge in healthcare, ranging from mild discomfort to severe complications, and can impact patient sa...
Breast Neoplasms Natural Language Processing Drug-Related Side Effects and Adverse Reactions Data Mining Humans Electronic Health Records Female
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Predicting Alzheimer's disease from cognitive footprints in mid and late life: How much can register data and machine learning help?

International journal of medical informatics Jul 3, 2024
BACKGROUND: Real-world data with decades-long medical records are increasingly available alongside the growing adoption of machine learning in healthcare research. We evaluated the performance of machine learning models in predicting the risk of Alzh...
Aged Aged, 80 and over Male Female Risk Factors Registries Alzheimer Disease Finland Middle Aged Case-Control Studies Logistic Models Humans Machine Learning
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Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure.

International journal of medical informatics Jun 30, 2024
OBJECTIVES: This study aims to evaluate the fairness performance metrics of Machine Learning (ML) models to predict hospitalization and emergency department (ED) visits in heart failure patients receiving home healthcare. We analyze biases, assess pe...
Emergency Service, Hospital Heart Failure Female Humans Emergency Room Visits Middle Aged Aged Machine Learning Hospitalization Home Care Services Risk Assessment Aged, 80 and over Male
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Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews.

International journal of medical informatics Jun 26, 2024
BACKGROUND: PRISMA-based literature reviews require meticulous scrutiny of extensive textual data by multiple reviewers, which is associated with considerable human effort.
Humans Artificial Intelligence Reproducibility of Results Natural Language Processing Systematic Reviews as Topic
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Self-help groups and opioid use disorder treatment: An investigation using a machine learning-assisted robust causal inference framework.

International journal of medical informatics Jun 24, 2024
OBJECTIVES: This study investigates the impact of participation in self-help groups on treatment completion among individuals undergoing medication for opioid use disorder (MOUD) treatment. Given the suboptimal adherence and retention rates for MOUD,...
Assessment of Medication Adherence Adolescent Opioid-Related Disorders Self-Help Groups Female Humans Young Adult Machine Learning Male Adult Middle Aged
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Review of machine learning solutions for eating disorders.

International journal of medical informatics Jun 19, 2024
BACKGROUND: Eating Disorders (EDs) are one of the most complex psychiatric disorders, with significant impairment of psychological and physical health, and psychosocial functioning, and are associated with low rates of early detection, low recovery a...
Machine Learning Risk Factors Feeding and Eating Disorders Humans Artificial Intelligence
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Predictive analysis on the factors associated with birth Outcomes: A machine learning perspective.

International journal of medical informatics Jun 19, 2024
BACKGROUND: Recent studies reveal that around 1.9 million stillbirths occur annually worldwide, with Sub-Saharan Africa having among the highest cases. Some Sub-Saharan African countries, including Ghana, failed to meet Millennium Development Goal 5 ...
Gestational Age Ghana Live Birth Stillbirth Pregnancy Outcome Logistic Models Parturition Young Adult Adult Humans Neural Networks, Computer Machine Learning Pregnancy Female Infant, Newborn
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Diagnostic test accuracy of externally validated convolutional neural network (CNN) artificial intelligence (AI) models for emergency head CT scans - A systematic review.

International journal of medical informatics Jun 13, 2024
BACKGROUND: The surge in emergency head CT imaging and artificial intelligence (AI) advancements, especially deep learning (DL) and convolutional neural networks (CNN), have accelerated the development of computer-aided diagnosis (CADx) for emergency...
Tomography, X-Ray Computed Diagnosis, Computer-Assisted Deep Learning Neural Networks, Computer Artificial Intelligence Head Intracranial Hemorrhages Humans
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A knowledge-enhanced interpretable network for early recurrence prediction of hepatocellular carcinoma via multi-phase CT imaging.

International journal of medical informatics Jun 1, 2024
BACKGROUND: Predicting early recurrence (ER) of hepatocellular carcinoma (HCC) accurately can guide treatment decisions and further enhance survival. Computed tomography (CT) imaging, analyzed by deep learning (DL) models combining domain knowledge, ...
Tomography, X-Ray Computed Deep Learning Liver Neoplasms Humans Carcinoma, Hepatocellular Neoplasm Recurrence, Local
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Correspondence: Generative artificial intelligence in healthcare.

International journal of medical informatics May 19, 2024
Delivery of Health Care Humans Artificial Intelligence
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