AI Medical Compendium Journal:
International journal of medical informatics

Showing 121 to 130 of 372 articles

Construction and verification of a machine learning-based prediction model of deep vein thrombosis formation after spinal surgery.

International journal of medical informatics Aug 30, 2024
BACKGROUND: Deep vein thromboembolism (DVT) is a common postoperative complication with high morbidity and mortality rates. However, the safety and effectiveness of using prophylactic anticoagulants for preventing DVT after spinal surgery remain cont...
Humans Adult Male Middle Aged Spine Postoperative Complications Venous Thrombosis Female Risk Factors Aged Machine Learning Algorithms Retrospective Studies
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Survival analysis for lung cancer patients: A comparison of Cox regression and machine learning models.

International journal of medical informatics Aug 26, 2024
INTRODUCTION: Survival analysis based on cancer registry data is of paramount importance for monitoring the effectiveness of health care. As new methods arise, the compendium of statistical tools applicable to cancer registry data grows. In recent ye...
Male Middle Aged Lung Neoplasms Machine Learning Female Aged Registries Survival Analysis Proportional Hazards Models Humans Neural Networks, Computer
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FRELSA: A dataset for frailty in elderly people originated from ELSA and evaluated through machine learning models.

International journal of medical informatics Aug 19, 2024
BACKGROUND: Frailty is an age-related syndrome characterized by loss of strength and exhaustion and associated with multi-morbidity. Early detection and prediction of the appearance of frailty could help older people age better and prevent them from ...
Longitudinal Studies Frailty Frail Elderly Geriatric Assessment United Kingdom Aged Aged, 80 and over Male Machine Learning Algorithms Female Humans
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Chatbots talk Strabismus: Can AI become the new patient Educator?

International journal of medical informatics Aug 16, 2024
BACKGROUND: Strabismus is a common eye condition affecting both children and adults. Effective patient education is crucial for informed decision-making, but traditional methods often lack accessibility and engagement. Chatbots powered by AI have eme...
Internet Strabismus Comprehension Humans Artificial Intelligence Patient Education as Topic
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Predicting whether patients in an acute medical unit are physiologically fit-for-discharge using machine learning: A proof-of-concept.

International journal of medical informatics Aug 10, 2024
INTRODUCTION: Delays in discharging patients from Acute Medical Units hamper patient flows throughout the hospital. The decision to discharge a patient is mainly based on the patients' physiological condition, but may vary between physicians. An obje...
Humans Machine Learning Retrospective Studies Electronic Health Records Middle Aged Patient Discharge Proof of Concept Study Female Aged Male
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Artificial intelligence prediction of In-Hospital mortality in patients with dementia: A multi-center study.

International journal of medical informatics Aug 6, 2024
BACKGROUND: Prediction of mortality is very important for care planning in hospitalized patients with dementia and artificial intelligence has the potential to serve as a solution; however, this issue remains unclear. Thus, this study was conducted t...
Dementia Hospital Mortality Logistic Models Support Vector Machine Aged, 80 and over Male Middle Aged Humans Artificial Intelligence Algorithms Hospitalization Aged Electronic Health Records Female
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A pre-trained language model for emergency department intervention prediction using routine physiological data and clinical narratives.

International journal of medical informatics Aug 3, 2024
INTRODUCTION: The urgency and complexity of emergency room (ER) settings require precise and swift decision-making processes for patient care. Ensuring the timely execution of critical examinations and interventions is vital for reducing diagnostic e...
Narration Triage Natural Language Processing Emergency Service, Hospital Humans Machine Learning Decision Support Systems, Clinical
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A machine learning-based predictive model for the in-hospital mortality of critically ill patients with atrial fibrillation.

International journal of medical informatics Jul 31, 2024
BACKGROUND: Atrial fibrillation (AF) is common among intensive care unit (ICU) patients and significantly raises the in-hospital mortality rate. Existing scoring systems or models have limited predictive capabilities for AF patients in ICU. Our study...
Hospital Mortality Atrial Fibrillation Aged, 80 and over Male Risk Assessment Humans Machine Learning Computer Simulation Reproducibility of Results Aged Critical Illness Female
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Evaluating the accuracy of lung-RADS score extraction from radiology reports: Manual entry versus natural language processing.

International journal of medical informatics Jul 31, 2024
INTRODUCTION: Radiology scoring systems are critical to the success of lung cancer screening (LCS) programs, impacting patient care, adherence to follow-up, data management and reporting, and program evaluation. LungCT ScreeningReporting and Data Sys...
Natural Language Processing Radiology Information Systems Humans Aged Male Lung Neoplasms Early Detection of Cancer Retrospective Studies Tomography, X-Ray Computed Female
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Evaluating the effectiveness of a sliding window technique in machine learning models for mortality prediction in ICU cardiac arrest patients.

International journal of medical informatics Jul 27, 2024
Extensive research has been devoted to predicting ICU mortality, to assist clinical teams managing critical patients. Electronic health records (EHR) contain both static and dynamic medical data, with the latter accumulating during ICU stays. Existin...
Female Aged Male Heart Arrest Middle Aged Hospital Mortality Machine Learning Intensive Care Units Electronic Health Records Humans
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