AIMC Topic: Risk Assessment

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Machine learning models to identify low adherence to influenza vaccination among Korean adults with cardiovascular disease.

BMC cardiovascular disorders Mar 9, 2021
BACKGROUND: Annual influenza vaccination is an important public health measure to prevent influenza infections and is strongly recommended for cardiovascular disease (CVD) patients, especially in the current coronavirus disease 2019 (COVID-19) pandem...
Influenza, Human Influenza Vaccines Cross-Sectional Studies Male Cardiovascular Diseases Middle Aged Risk Assessment Medication Adherence Vaccination Nutrition Surveys Support Vector Machine Age Factors Female Risk Factors Aged Young Adult Adult Humans Databases, Factual Republic of Korea
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Machine Learning Algorithms for Prediction of Permanent Pacemaker Implantation After Transcatheter Aortic Valve Replacement.

Circulation. Arrhythmia and electrophysiology Mar 9, 2021
Prospective Studies Retrospective Studies Risk Factors Risk Assessment Treatment Outcome Humans Machine Learning Decision Support Techniques Transcatheter Aortic Valve Replacement Pacemaker, Artificial Atrioventricular Block Action Potentials Aortic Valve Predictive Value of Tests Cardiac Pacing, Artificial Heart Rate
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Prediction of Drug-Induced Long QT Syndrome Using Machine Learning Applied to Harmonized Electronic Health Record Data.

Journal of cardiovascular pharmacology and therapeutics Mar 8, 2021
BACKGROUND: Drug-induced QT prolongation is a potentially preventable cause of morbidity and mortality, however there are no widespread clinical tools utilized to predict which individuals are at greatest risk. Machine learning (ML) algorithms may pr...
Humans Machine Learning Long QT Syndrome Male Electronic Health Records Middle Aged Female Risk Assessment Aged Deep Learning Adult Electrocardiography
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Validation of the Artificial Intelligence-Based Predictive Optimal Trees in Emergency Surgery Risk (POTTER) Calculator in Emergency General Surgery and Emergency Laparotomy Patients.

Journal of the American College of Surgeons Mar 8, 2021
BACKGROUND: The Predictive Optimal Trees in Emergency Surgery Risk (POTTER) tool is an artificial intelligence-based calculator for the prediction of 30-day outcomes in patients undergoing emergency operations. In this study, we sought to assess the ...
Emergency Treatment Male Middle Aged Risk Assessment Postoperative Complications Hospital Mortality Decision Trees Emergency Service, Hospital Benchmarking Feasibility Studies Laparotomy Databases, Factual Female Risk Factors Aged Adult Humans Artificial Intelligence
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Machine Learning Identifies Metabolic Signatures that Predict the Risk of Recurrent Angina in Remitted Patients after Percutaneous Coronary Intervention: A Multicenter Prospective Cohort Study.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 8, 2021
Recurrent angina (RA) after percutaneous coronary intervention (PCI) has few known risk factors, hampering the identification of high-risk populations. In this multicenter study, plasma samples are collected from patients with stable angina after PCI...
Chromatography, Liquid Female Recurrence Humans Metabolome Machine Learning Risk Factors Percutaneous Coronary Intervention Prospective Studies Male Tandem Mass Spectrometry Biomarkers Middle Aged Angina, Stable Risk Assessment
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Pythagorean fuzzy AHP based risk assessment methodology for hazardous material transportation: an application in Istanbul.

Environmental science and pollution research international Mar 6, 2021
Environment and social life are open to hazards, because of the distribution, diffusion, and conversion processes of chemicals contained in hazardous materials. These chemicals are very dangerous. Various precautions should be taken into consideratio...
Risk Factors Risk Assessment Fuzzy Logic Hazardous Substances Transportation
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Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 5, 2021
PURPOSE: Lung cancer is the leading cause of cancer mortality in the US, responsible for more deaths than breast, prostate, colon and pancreas cancer combined and large population studies have indicated that low-dose computed tomography (CT) screenin...
Radiologists Humans Tomography, X-Ray Computed Lung Male Risk Assessment Deep Learning Lung Neoplasms Early Detection of Cancer
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Individualized prediction of COVID-19 adverse outcomes with MLHO.

Scientific reports Mar 5, 2021
The COVID-19 pandemic has devastated the world with health and economic wreckage. Precise estimates of adverse outcomes from COVID-19 could have led to better allocation of healthcare resources and more efficient targeted preventive measures, includi...
Reproducibility of Results SARS-CoV-2 Risk Factors Hospitalization Aged Prognosis Retrospective Studies Intensive Care Units Electronic Health Records Female Respiration, Artificial ROC Curve Age Factors Models, Statistical Data Mining Aged, 80 and over Humans Adult Machine Learning Male Pandemics Middle Aged COVID-19 Risk Assessment
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Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications.

JAMA network open Mar 1, 2021
IMPORTANCE: Postoperative complications can significantly impact perioperative care management and planning.
Intraoperative Period Humans Preoperative Period Machine Learning Retrospective Studies Female Incidence Risk Factors ROC Curve Male Decision Support Systems, Clinical Middle Aged United States Risk Assessment Follow-Up Studies Postoperative Complications
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Development of a Machine Learning Model Using Electronic Health Record Data to Identify Antibiotic Use Among Hospitalized Patients.

JAMA network open Mar 1, 2021
IMPORTANCE: Comparisons of antimicrobial use among hospitals are difficult to interpret owing to variations in patient case mix. Risk-adjustment strategies incorporating larger numbers of variables haves been proposed as a method to improve compariso...
Young Adult Adult Male Middle Aged Risk Assessment Infant Adolescent Child, Preschool Child Follow-Up Studies Anti-Bacterial Agents Retrospective Studies Electronic Health Records Female Aged Inpatients Humans Antimicrobial Stewardship Machine Learning
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