AIMC Topic: Risk Factors

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Current trends in the use of machine learning for diagnostics and/or risk stratification in cardiovascular disease.

Cardiovascular research Apr 23, 2021
Predictive Value of Tests Image Interpretation, Computer-Assisted Cardiac Imaging Techniques Humans Artificial Intelligence Prognosis Clinical Decision-Making Cardiovascular Diseases Risk Assessment Diagnosis, Computer-Assisted Reproducibility of Results Risk Factors
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Identification of Suicide Attempt Risk Factors in a National US Survey Using Machine Learning.

JAMA psychiatry Apr 1, 2021
IMPORTANCE: Because more than one-third of people making nonfatal suicide attempts do not receive mental health treatment, it is essential to extend suicide attempt risk factors beyond high-risk clinical populations to the general adult population.
Machine Learning Female Risk Factors Aged Aged, 80 and over Humans Suicide, Attempted Adolescent Health Surveys United States Longitudinal Studies Young Adult Adult Male Middle Aged
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Verification and comparison of three prediction models of ischemic stroke in young adults based on the back propagation neural networks.

Medicine Mar 19, 2021
This work aims to explore risk factors for ischemic stroke in young adults and analyze the Traditional Vascular Risk Factors Model based on age, hypertension, diabetes, smoking history, and drinking history. Further, the Lipid Metabolism Model was an...
Neural Networks, Computer Acute Kidney Injury Female Risk Factors Male Middle Aged Factor Analysis, Statistical Risk Assessment Area Under Curve Young Adult Kidney Function Tests Smoking Clinical Decision Rules Humans Adult Adolescent Age Factors Alcohol Drinking Lipoproteins Predictive Value of Tests ROC Curve Ischemic Stroke Diabetes Mellitus, Type 2 Hypertension
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Predicting pressure injury using nursing assessment phenotypes and machine learning methods.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Pressure injuries are common and serious complications for hospitalized patients. The pressure injury rate is an important patient safety metric and an indicator of the quality of nursing care. Timely and accurate prediction of pressure in...
ROC Curve Logistic Models Pressure Ulcer Nursing Research Aged, 80 and over Male Middle Aged Risk Assessment Female Risk Factors Hospitalization Aged Machine Learning Databases, Factual Electronic Health Records Humans
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A Machine Learning Algorithm to Identify Patients with Tibial Shaft Fractures at Risk for Infection After Operative Treatment.

The Journal of bone and joint surgery. American volume Mar 17, 2021
BACKGROUND: Risk stratification of individual patients who are prone to infection would allow surgeons to monitor high-risk patients more closely and intervene early when needed. This could reduce infection-related consequences such as increased heal...
Adult Male Middle Aged Risk Assessment Adolescent Risk Factors Aged Aged, 80 and over Young Adult Tibia Tibial Fractures Prosthesis-Related Infections Algorithms Anti-Bacterial Agents Female Humans Machine Learning
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Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning.

The Journal of clinical endocrinology and metabolism Mar 8, 2021
CONTEXT: Accurate methods for early gestational diabetes mellitus (GDM) (during the first trimester of pregnancy) prediction in Chinese and other populations are lacking.
Machine Learning Algorithms Prognosis Pregnancy Female Humans Body Mass Index Risk Factors Adult China Socioeconomic Factors Models, Statistical Diabetes, Gestational Early Diagnosis
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Computing the Hazard Ratios Associated With Explanatory Variables Using Machine Learning Models of Survival Data.

JCO clinical cancer informatics Mar 1, 2021
PURPOSE: The application of Cox proportional hazards (CoxPH) models to survival data and the derivation of hazard ratio (HR) are well established. Although nonlinear, tree-based machine learning (ML) models have been developed and applied to the surv...
Risk Factors Survival Analysis Proportional Hazards Models Humans Machine Learning Algorithms
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What's lurking in your electrocardiogram?

Lancet (London, England) Feb 27, 2021
Humans Risk Factors Deep Learning Electrocardiography
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Using machine learning to estimate the effect of racial segregation on COVID-19 mortality in the United States.

Proceedings of the National Academy of Sciences of the United States of America Feb 16, 2021
This study examines the role that racial residential segregation has played in shaping the spread of COVID-19 in the United States as of September 30, 2020. The analysis focuses on the effects of racial residential segregation on mortality and infect...
Risk Factors Humans Ethnicity Social Segregation United States Machine Learning Mortality Socioeconomic Factors COVID-19 Regression Analysis SARS-CoV-2
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Machine Learning to Differentiate Risk of Suicide Attempt and Self-harm After General Medical Hospitalization of Women With Mental Illness.

Medical care Feb 1, 2021
BACKGROUND: Suicide prevention is a public health priority, but risk factors for suicide after medical hospitalization remain understudied. This problem is critical for women, for whom suicide rates in the United States are disproportionately increas...
Reproducibility of Results Women Risk Factors Humans Hospitalization Young Adult Mental Disorders Suicide, Attempted Algorithms Retrospective Studies Aged Cohort Studies Adult Supervised Machine Learning Electronic Health Records Sensitivity and Specificity Patient Readmission Female Middle Aged Self-Injurious Behavior
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