AIMC Topic: Electronic Health Records

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A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data.

International journal of medical informatics Feb 20, 2019
OBJECTIVE: In this systematic review, we aim to synthesize the literature on the use of natural language processing (NLP) and text mining as they apply to symptom extraction and processing in electronic patient-authored text (ePAT).
United States Natural Language Processing Data Mining Patient Participation Humans National Institutes of Health (U.S.) Electronic Health Records
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Machine Learning, Natural Language Processing, and the Electronic Health Record: Innovations in Mental Health Services Research.

Psychiatric services (Washington, D.C.) Feb 20, 2019
An unprecedented amount of clinical information is now available via electronic health records (EHRs). These massive data sets have stimulated opportunities to adapt computational approaches to track and identify target areas for quality improvement ...
Mental Health Services Natural Language Processing Health Services Research Humans Machine Learning Electronic Health Records
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Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records.

PloS one Feb 19, 2019
OBJECTIVE: The rapid proliferation of machine learning research using electronic health records to classify healthcare outcomes offers an opportunity to address the pressing public health problem of adolescent suicidal behavior. We describe the devel...
Psychology, Adolescent Adolescent, Hospitalized Suicide, Attempted Humans Adolescent Electronic Health Records Machine Learning Female Adolescent Behavior Suicidal Ideation Algorithms Young Adult Natural Language Processing Child Male Psychiatric Department, Hospital Massachusetts
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Rare disease knowledge enrichment through a data-driven approach.

BMC medical informatics and decision making Feb 14, 2019
BACKGROUND: Existing resources to assist the diagnosis of rare diseases are usually curated from the literature that can be limited for clinical use. It often takes substantial effort before the suspicion of a rare disease is even raised to utilize t...
Knowledge Bases Data Mining Rare Diseases Humans Algorithms Phenotype Electronic Health Records
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Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine.

IEEE journal of biomedical and health informatics Feb 13, 2019
The diagnosis of type 2 diabetes (T2D) at an early stage has a key role for an adequate T2D integrated management system and patient's follow-up. Recent years have witnessed an increasing amount of available electronic health record (EHR) data and ma...
Diabetes Mellitus, Type 2 Support Vector Machine Aged, 80 and over Male Middle Aged Decision Support Systems, Clinical Humans Electronic Health Records Female Reproducibility of Results Aged
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Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence.

Nature medicine Feb 11, 2019
Artificial intelligence (AI)-based methods have emerged as powerful tools to transform medical care. Although machine learning classifiers (MLCs) have already demonstrated strong performance in image-based diagnoses, analysis of diverse and massive e...
Humans Artificial Intelligence Infant, Newborn Reproducibility of Results Male Infant Machine Learning Retrospective Studies Electronic Health Records Female Pediatrics Proof of Concept Study Adolescent Child, Preschool Child Natural Language Processing Diagnosis, Computer-Assisted Deep Learning China
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Predicting inadequate postoperative pain management in depressed patients: A machine learning approach.

PloS one Feb 6, 2019
Widely-prescribed prodrug opioids (e.g., hydrocodone) require conversion by liver enzyme CYP-2D6 to exert their analgesic effects. The most commonly prescribed antidepressant, selective serotonin reuptake inhibitors (SSRIs), inhibits CYP-2D6 activity...
Humans Hydrocodone Aged Selective Serotonin Reuptake Inhibitors Machine Learning Pain Management Adult Electronic Health Records Depression Postoperative Period Female Male Natural Language Processing Drug Prescriptions Middle Aged Pain, Postoperative Antidepressive Agents Models, Biological
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Research Domain Criteria scores estimated through natural language processing are associated with risk for suicide and accidental death.

Depression and anxiety Feb 2, 2019
BACKGROUND: Identification of individuals at increased risk for suicide is an important public health priority, but the extent to which considering clinical phenomenology improves prediction of longer term outcomes remains understudied. Hospital disc...
Humans Death Electronic Health Records Female Survival Analysis Risk Adult Behavioral Symptoms Male Risk Assessment Middle Aged Suicide Cohort Studies Natural Language Processing
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Intelligent diagnosis with Chinese electronic medical records based on convolutional neural networks.

BMC bioinformatics Feb 1, 2019
BACKGROUND: Benefiting from big data, powerful computation and new algorithmic techniques, we have been witnessing the renaissance of deep learning, particularly the combination of natural language processing (NLP) and deep neural networks. The adven...
Natural Language Processing Semantics Vocabulary Dictionaries as Topic Humans Neural Networks, Computer Electronic Health Records Language
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An automated data verification approach for improving data quality in a clinical registry.

Computer methods and programs in biomedicine Jan 31, 2019
BACKGROUND AND OBJECTIVE: The quality of data is crucial for clinical registry studies as it impacts credibility. In the regular practice of most such studies, a vulnerability arises from researchers recording data on paper-based case report forms (C...
Medical Informatics Automation Pattern Recognition, Automated Algorithms Databases, Factual Coronary Artery Disease Electronic Health Records Reproducibility of Results Humans Regression Analysis Programming Languages Language Machine Learning Natural Language Processing Data Accuracy Registries Information Storage and Retrieval
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