AIMC Topic: Electronic Health Records

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An unsupervised and customizable misspelling generator for mining noisy health-related text sources.

Journal of biomedical informatics Nov 13, 2018
BACKGROUND: Data collection and extraction from noisy text sources such as social media typically rely on keyword-based searching/listening. However, health-related terms are often misspelled in such noisy text sources due to their complex morphology...
Social Media Natural Language Processing Data Mining Pattern Recognition, Automated Data Collection Medical Informatics Electronic Health Records Reproducibility of Results Fuzzy Logic Algorithms
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Transforming health policy through machine learning.

PLoS medicine Nov 13, 2018
In their Perspective, Ara Darzi and Hutan Ashrafian give us a tour of the future policymaker's machine learning toolkit.
Humans Policy Making Health Policy Data Mining Machine Learning Medical Informatics Databases, Factual Government Regulation Electronic Health Records
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Applying machine learning to continuously monitored physiological data.

Journal of clinical monitoring and computing Nov 11, 2018
The use of machine learning (ML) in healthcare has enormous potential for improving disease detection, clinical decision support, and workflow efficiencies. In this commentary, we review published and potential applications for the use of ML for moni...
Expert Systems Wavelet Analysis Clinical Alarms Arrhythmias, Cardiac Atrial Fibrillation Critical Care Adult Respiration, Artificial Sepsis Randomized Controlled Trials as Topic Delirium Decision Support Systems, Clinical Humans Monitoring, Physiologic Databases, Factual Intensive Care Units Electronic Health Records Machine Learning Software Algorithms
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Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks.

Artificial intelligence in medicine Nov 9, 2018
INTRODUCTION: Blood cultures are often performed in the intensive care unit (ICU) to detect bloodstream infections and identify pathogen type, further guiding treatment. Early detection is essential, as a bloodstream infection can give cause to sepsi...
Humans Neural Networks, Computer Blood Culture Intensive Care Units Electronic Health Records
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Automated Extraction of Diagnostic Criteria From Electronic Health Records for Autism Spectrum Disorders: Development, Evaluation, and Application.

Journal of medical Internet research Nov 7, 2018
BACKGROUND: Electronic health records (EHRs) bring many opportunities for information utilization. One such use is the surveillance conducted by the Centers for Disease Control and Prevention to track cases of autism spectrum disorder (ASD). This pro...
Humans Male Prevalence Child, Preschool Child Autism Spectrum Disorder Electronic Health Records Female Natural Language Processing
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Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.

PLoS medicine Nov 6, 2018
BACKGROUND: Electronic medical records provide large-scale real-world clinical data for use in developing clinical decision systems. However, sophisticated methodology and analytical skills are required to handle the large-scale datasets necessary fo...
Time Factors Child Age Factors Predictive Value of Tests Diagnosis, Computer-Assisted China Adolescent Data Mining Female Reproducibility of Results Young Adult Refraction, Ocular Prognosis Myopia Retrospective Studies Male Electronic Health Records Disease Progression Humans Machine Learning
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Introduction to Machine Learning in Digital Healthcare Epidemiology.

Infection control and hospital epidemiology Nov 5, 2018
To exploit the full potential of big routine data in healthcare and to efficiently communicate and collaborate with information technology specialists and data analysts, healthcare epidemiologists should have some knowledge of large-scale analysis te...
Electronic Health Records Biomedical Research Big Data Epidemiologic Studies Humans Machine Learning
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Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances.

Journal of biomedical informatics Oct 24, 2018
The importance of incorporating Natural Language Processing (NLP) methods in clinical informatics research has been increasingly recognized over the past years, and has led to transformative advances. Typically, clinical NLP systems are developed and...
Natural Language Processing Outcome Assessment, Health Care Electronic Health Records Humans Data Collection Medical Informatics Reproducibility of Results Algorithms Semantics Mental Disorders Mental Health Services
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Master clinical medical knowledge at certificated-doctor-level with deep learning model.

Nature communications Oct 19, 2018
Mastering of medical knowledge to human is a lengthy process that typically involves several years of school study and residency training. Recently, deep learning algorithms have shown potential in solving medical problems. Here we demonstrate master...
Health Services Accessibility Algorithms Education, Medical Diagnosis, Computer-Assisted Electronic Health Records Deep Learning China
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Psychiatric stressor recognition from clinical notes to reveal association with suicide.

Health informatics journal Oct 17, 2018
Suicide takes the lives of nearly a million people each year and it is a tremendous economic burden globally. One important type of suicide risk factor is psychiatric stress. Prior studies mainly use survey data to investigate the association between...
Documentation Chi-Square Distribution Humans Suicide Prevention Stress, Psychological Machine Learning Suicide Electronic Health Records Natural Language Processing Risk Factors
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