AIMC Topic: Risk Factors

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Machine learning for the prediction of bone metastasis in patients with newly diagnosed thyroid cancer.

Cancer medicine Mar 12, 2021
OBJECTIVES: This study aimed to establish a machine learning prediction model that can be used to predict bone metastasis (BM) in patients with newly diagnosed thyroid cancer (TC).
Humans Machine Learning SEER Program Decision Making, Computer-Assisted Thyroid Neoplasms Female Logistic Models Risk Factors Models, Theoretical Male Bone Neoplasms Middle Aged Area Under Curve
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Exploring Associations of Preoperative Physical Performance With Postoperative Outcomes After Lumbar Spinal Fusion: A Machine Learning Approach.

Archives of physical medicine and rehabilitation Mar 9, 2021
OBJECTIVE: To explore the association between preoperative physical performance with short- and long-term postoperative outcomes in patients undergoing lumbar spinal fusion (LSF).
Disability Evaluation Pain, Postoperative Spinal Fusion Lumbar Vertebrae Physical Functional Performance Patient Reported Outcome Measures Postoperative Period Preoperative Period Middle Aged Length of Stay Cohort Studies Recovery of Function Predictive Value of Tests Female Risk Factors Aged Male Humans Machine Learning Retrospective Studies
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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...
Cross-Sectional Studies Male Influenza, Human Humans Cardiovascular Diseases Influenza Vaccines Risk Factors Medication Adherence Databases, Factual Aged Middle Aged Republic of Korea Vaccination Young Adult Risk Assessment Female Nutrition Surveys Adult Support Vector Machine Age Factors
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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
Transcatheter Aortic Valve Replacement Pacemaker, Artificial Atrioventricular Block Aortic Valve Predictive Value of Tests Cardiac Pacing, Artificial Heart Rate Humans Machine Learning Decision Support Techniques Prospective Studies Retrospective Studies Risk Factors Risk Assessment Treatment Outcome Action Potentials
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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 Decision Trees Humans Emergency Service, Hospital Middle Aged Artificial Intelligence Benchmarking Databases, Factual Risk Assessment Female Feasibility Studies Postoperative Complications Risk Factors Laparotomy Hospital Mortality Aged Adult Male
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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 Risk Factors Metabolome Machine Learning Male Percutaneous Coronary Intervention Prospective Studies Middle Aged Tandem Mass Spectrometry Biomarkers Risk Assessment Angina, Stable
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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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Drug properties and host factors contribute to biochemical presentation of drug-induced liver injury: a prediction model from a machine learning approach.

Archives of toxicology Mar 5, 2021
Drug-induced liver injury (DILI) presentation varies biochemically and histologically. Certain drugs present quite consistent injury patterns, i.e., DILI signatures. In contrast, others are manifested as broader types of liver injury. The variety of ...
Pharmaceutical Preparations Chemical and Drug Induced Liver Injury Databases, Factual Prospective Studies Risk Factors Liver Humans Machine Learning
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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...
Pandemics COVID-19 Prognosis Retrospective Studies Intensive Care Units Humans Machine Learning Male Middle Aged Risk Assessment Respiration, Artificial ROC Curve Risk Factors Electronic Health Records Hospitalization Age Factors Female Aged Models, Statistical Reproducibility of Results Aged, 80 and over Data Mining SARS-CoV-2 Adult
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Three machine learning algorithms and their utility in exploring risk factors associated with primary cesarean section in low-risk women: A methods paper.

Research in nursing & health Mar 2, 2021
Machine learning, a branch of artificial intelligence, is increasingly used in health research, including nursing and maternal outcomes research. Machine learning algorithms are complex and involve statistics and terminology that are not common in he...
Humans Machine Learning Pregnancy Cross-Sectional Studies Adolescent Obesity Oxytocics Female Oxytocin Cesarean Section Risk Factors Young Adult Adult
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