AIMC Topic: Risk Assessment

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Artificial intelligence for cancer-associated thrombosis risk assessment.

The Lancet. Haematology Sep 1, 2018
Thrombosis Humans Artificial Intelligence Risk Assessment Neoplasms
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Rise of the machines? Machine learning approaches and mental health: opportunities and challenges.

The British journal of psychiatry : the journal of mental science Sep 1, 2018
Machine learning methods are being increasingly applied to physical healthcare. In this article we describe some of the potential benefits, challenges and limitations of this approach in a mental health context. We provide a number of examples where ...
Humans Mental Health Machine Learning Risk Assessment Precision Medicine Mental Health Services Risk Factors Models, Statistical Psychology
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Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk.

JAMA psychiatry Sep 1, 2018
IMPORTANCE: Altered neurodevelopmental trajectories are thought to reflect heterogeneity in the pathophysiologic characteristics of schizophrenia, but whether neural indicators of these trajectories are associated with future psychosis is unclear.
Prognosis Female Young Adult Male Risk Assessment Humans Machine Learning Prospective Studies Brain Predictive Value of Tests Psychotic Disorders Neuropsychological Tests Prodromal Symptoms Social Skills Adolescent Child, Preschool Child Longitudinal Studies Magnetic Resonance Imaging
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Neural Networks for Prognostication of Patients With Heart Failure.

Circulation. Heart failure Aug 1, 2018
Background Prognostication of heart failure patients from cardiopulmonary exercise test (CPET) currently involves simplification of complex time-series data into summary indices. We hypothesized that prognostication could be improved by considering t...
Exercise Test Heart Failure Data Mining Exercise Tolerance Cardiorespiratory Fitness Middle Aged Risk Assessment Health Status Predictive Value of Tests Breath Tests Humans Neural Networks, Computer Prognosis Retrospective Studies Clinical Decision-Making Female Risk Factors Aged Adult Male
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Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2018
OBJECTIVE: To develop a conceptual prediction model framework containing standardized steps and describe the corresponding open-source software developed to consistently implement the framework across computational environments and observational heal...
Female Adult Male Risk Assessment Models, Theoretical Humans Machine Learning Software Prognosis Observation Treatment Outcome Observational Studies as Topic Datasets as Topic Health Services Needs and Demand
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Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.

Annals of the American Thoracic Society Jul 1, 2018
RATIONALE: Patients transferred from the intensive care unit to the wards who are later readmitted to the intensive care unit have increased length of stay, healthcare expenditure, and mortality compared with those who are never readmitted. Improving...
Time Factors ROC Curve Follow-Up Studies Patient Readmission Illinois Female Male Middle Aged Risk Assessment Humans Machine Learning Retrospective Studies Critical Illness Intensive Care Units Electronic Health Records
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Machine Learning Compared With Pathologist Assessment-Reply.

JAMA Apr 24, 2018
Machine Learning Breast Neoplasms Risk Assessment Pathologists Humans
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Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment.

Journal of acquired immune deficiency syndromes (1999) Feb 1, 2018
OBJECTIVE: Universal HIV screening programs are costly, labor intensive, and often fail to identify high-risk individuals. Automated risk assessment methods that leverage longitudinal electronic health records (EHRs) could catalyze targeted screening...
Infant, Newborn Risk Factors Aged Aged, 80 and over Mass Screening Young Adult Natural Language Processing Algorithms Automation Decision Support Techniques New York City Humans Adult Electronic Health Records Adolescent Female Male HIV Infections Middle Aged Cohort Studies Risk Assessment Child, Preschool Infant Child
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Validation of artificial neural networks as a methodology for donor-recipient matching for liver transplantation.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society Feb 1, 2018
In 2014, we reported a model for donor-recipient (D-R) matching in liver transplantation (LT) based on artificial neural networks (ANNs) from a Spanish multicenter study (Model for Allocation of Donor and Recipient in España [MADR-E]). The aim is to ...
Female Reproducibility of Results Risk Factors Adult Male Middle Aged Risk Assessment Time Factors ROC Curve Tissue Donors Waiting Lists Liver Diseases Donor Selection London Graft Survival Treatment Outcome Area Under Curve Humans Liver Transplantation Neural Networks, Computer Algorithms Decision Support Techniques Computer Simulation
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Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography.

American journal of respiratory and critical care medicine Jan 15, 2018
RATIONALE: Deep learning is a powerful tool that may allow for improved outcome prediction.
Middle Aged Risk Assessment Severity of Illness Index Deep Learning Humans Logistic Models Databases, Factual Prognosis Female Respiratory Distress Syndrome Tomography, X-Ray Computed Aged Predictive Value of Tests Survival Rate Smoking Pulmonary Disease, Chronic Obstructive Respiratory Function Tests Male
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