AI Medical Compendium Journal:
BMC medical informatics and decision making

Showing 81 to 90 of 718 articles

Applications of digital health technologies and artificial intelligence algorithms in COPD: systematic review.

BMC medical informatics and decision making Feb 13, 2025
BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) represents a significant global health challenge, placing considerable burdens on healthcare systems. The rise of digital health technologies (DHTs) and artificial intelligence (AI) algorithms ...
Telemedicine Biomedical Technology Digital Health Algorithms Pulmonary Disease, Chronic Obstructive Humans Artificial Intelligence
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Factors contributing to chronic ankle instability in parcel delivery workers based on machine learning techniques.

BMC medical informatics and decision making Feb 13, 2025
BACKGROUND: Ankle injuries in parcel delivery workers (PDWs) are most often caused by trips. Ankle sprains have high recurrence rates and are associated with chronic ankle instability (CAI). This study aimed to develop, determine, and compare the pre...
Range of Motion, Articular Ankle Joint Ankle Injuries Male Middle Aged Chronic Disease Joint Instability Occupational Diseases Humans Machine Learning Female Adult
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Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda.

BMC medical informatics and decision making Feb 12, 2025
BACKGROUND: Despite substantial progress in maternal and neonatal health, Rwanda's mortality rates remain high, necessitating innovative approaches to meet health related Sustainable Development Goals (SDGs). By leveraging data collected from Electro...
Risk Assessment Rwanda Pregnancy Outcome Pregnancy Complications Infant, Newborn Young Adult Adult Pregnancy Female Machine Learning Retrospective Studies Electronic Health Records Humans
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Classifying and fact-checking health-related information about COVID-19 on Twitter/X using machine learning and deep learning models.

BMC medical informatics and decision making Feb 11, 2025
BACKGROUND: Despite recent progress in misinformation detection methods, further investigation is required to develop more robust fact-checking models with particular consideration for the unique challenges of health information sharing. This study a...
Humans Machine Learning Information Dissemination COVID-19 Deep Learning Social Media
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A novel method for screening malignant hematological diseases by constructing an optimal machine learning model based on blood cell parameters.

BMC medical informatics and decision making Feb 11, 2025
BACKGROUND: Screening of malignant hematological diseases is of great importance for their diagnosis and subsequent treatment. This study constructed an optimal screening model for malignant hematological diseases based on routine blood cell paramete...
China Male Middle Aged Machine Learning Female Aged Adult Sensitivity and Specificity Hematologic Neoplasms Humans Neural Networks, Computer
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A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies.

BMC medical informatics and decision making Feb 11, 2025
This study proposes a deep learning-based motion assessment method that integrates the pose estimation algorithm (Keypoint RCNN) with signal processing techniques, demonstrating its reliability and effectiveness.The reliability and validity of this m...
Bicycling Signal Processing, Computer-Assisted Accelerometry Movement Female Reproducibility of Results Young Adult Adult Male Deep Learning Humans Algorithms
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Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology.

BMC medical informatics and decision making Feb 8, 2025
BACKGROUND: In Japan, reporting of medical device malfunctions and related health problems is mandatory, and efforts are being made to standardize terminology through the Adverse Event Terminology Collection of the Japan Federation of Medical Device ...
Deep Learning Japan Translating Equipment and Supplies Terminology as Topic Translations
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Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence.

BMC medical informatics and decision making Feb 7, 2025
The relevance of the study is due to the growing number of diseases of the cerebrovascular system, in particular stroke, which is one of the leading causes of disability and mortality in the world. To improve stroke risk prediction models in terms of...
Humans Artificial Intelligence Principal Component Analysis Stroke Boosting Machine Learning Algorithms Machine Learning Risk Assessment
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Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia.

BMC medical informatics and decision making Feb 7, 2025
BACKGROUND: Low birth weight (LBW) is a critical global health issue that affects infants disproportionately, particularly in developing countries. This study adopted causal machine learning (CML) algorithms for predicting LBW in newborns, drawing fr...
Infant, Low Birth Weight Humans Continuity of Patient Care Machine Learning Midwifery Pregnancy Adult Female Prenatal Care Infant, Newborn Ethiopia Young Adult
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Ontology-based expansion of virtual gene panels to improve diagnostic efficiency for rare genetic diseases.

BMC medical informatics and decision making Feb 5, 2025
BACKGROUND: Virtual Gene Panels (VGP) comprising disease-associated causal genes are utilized in the diagnosis of rare genetic diseases to evaluate candidate genes identified by whole-genome and whole-exome sequencing. VGPs generated by the PanelApp ...
Gene Ontology Rare Diseases Genetic Diseases, Inborn Humans Computational Biology Genetic Testing
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