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Machine Learning Analysis Reveals Novel Neuroimaging and Clinical Signatures of Frailty in HIV.

Journal of acquired immune deficiency syndromes (1999) Aug 1, 2020
BACKGROUND: Frailty is an important clinical concern for the aging population of people living with HIV (PLWH). The objective of this study was to identify the combination of risk features that distinguish frail from nonfrail individuals.
Algorithms Female Male Aging Humans Machine Learning CD4 Lymphocyte Count Anti-Retroviral Agents Psychomotor Performance Neuroimaging Middle Aged HIV Infections United States Frailty
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Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules.

American journal of respiratory and critical care medicine Jul 15, 2020
The management of indeterminate pulmonary nodules (IPNs) remains challenging, resulting in invasive procedures and delays in diagnosis and treatment. Strategies to decrease the rate of unnecessary invasive procedures and optimize surveillance regime...
Humans Multiple Pulmonary Nodules Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Deep Learning Lung Neoplasms United States
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Using Machine Learning to Predict Primary Care and Advance Workforce Research.

Annals of family medicine Jul 1, 2020
PURPOSE: To develop and test a machine-learning-based model to predict primary care and other specialties using Medicare claims data.
United States Area Under Curve Medicare Workforce Cross-Sectional Studies ROC Curve Primary Health Care Physicians, Primary Care Insurance Claim Review Humans Machine Learning Algorithms
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Using Machine Learning to Estimate Unobserved COVID-19 Infections in North America.

The Journal of bone and joint surgery. American volume Jul 1, 2020
BACKGROUND: The detection of coronavirus disease 2019 (COVID-19) cases remains a huge challenge. As of April 22, 2020, the COVID-19 pandemic continues to take its toll, with >2.6 million confirmed infections and >183,000 deaths. Dire projections are ...
Pandemics COVID-19 Forecasting Computer Simulation Humans Machine Learning Pneumonia, Viral Bayes Theorem Coronavirus Infections North America SARS-CoV-2 Betacoronavirus Canada United States
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Coronavirus Disease (COVID-19): A Machine Learning Bibliometric Analysis.

In vivo (Athens, Greece) Jun 1, 2020
BACKGROUND/AIM: To evaluate the research trends in coronavirus disease (COVID-19).
Research China United States Bibliometrics Publishing Humans Coronavirus Infections National Institutes of Health (U.S.) Machine Learning Information Dissemination Pneumonia, Viral Pandemics Databases, Bibliographic Research Support as Topic COVID-19
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Using word embeddings to improve the privacy of clinical notes.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2020
OBJECTIVE: In this work, we introduce a privacy technique for anonymizing clinical notes that guarantees all private health information is secured (including sensitive data, such as family history, that are not adequately covered by current technique...
Natural Language Processing Confidentiality Data Anonymization Health Insurance Portability and Accountability Act Health Records, Personal Humans Algorithms Electronic Health Records United States
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Machine-Learning Implementation in Clinical Anesthesia: Opportunities and Challenges.

Anesthesia and analgesia Jun 1, 2020
Confidentiality Data Collection United States Food and Drug Administration Medical Informatics Anesthesia United States Decision Making Europe Workflow Point-of-Care Systems Clinical Competence Decision Support Systems, Clinical Humans Machine Learning Electronic Health Records
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Computer vision's potential to improve health care.

Lancet (London, England) May 16, 2020
Vision, Ocular Artificial Intelligence United States Humans Intensive Care Units Patient Harm Algorithms Medicare Electronic Health Records Computers Video Recording Clinical Decision-Making Delivery of Health Care Surgeons
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The ideological divide in public perceptions of self-driving cars.

Public understanding of science (Bristol, England) May 1, 2020
Applications in artificial intelligence such as self-driving cars may profoundly transform our society, yet emerging technologies are frequently faced with suspicion or even hostility. Meanwhile, public opinions about scientific issues are increasing...
Public Opinion Humans Artificial Intelligence Politics United States Autonomous Vehicles
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Machine Learning on High-Dimensional Data to Predict Bleeding Post Percutaneous Coronary Intervention.

The Journal of invasive cardiology May 1, 2020
INTRODUCTION: The purpose of the current study is to determine the accuracy of machine learning in predicting bleeding outcomes post percutaneous coronary intervention (PCI) in comparison with the American College of Cardiology CathPCI bleeding risk ...
Treatment Outcome Registries Percutaneous Coronary Intervention Humans Machine Learning Male Middle Aged Risk Assessment United States Retrospective Studies Female Risk Factors Aged
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