AIMC Topic: Electronic Health Records

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Standardizing Heterogeneous Annotation Corpora Using HL7 FHIR for Facilitating their Reuse and Integration in Clinical NLP.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Manually annotated clinical corpora are commonly used as the gold standards for the training and evaluation of clinical natural language processing (NLP) tools. The creation of these manual annotation corpora, however, is both costly and time-consumi...
Humans Electronic Health Records Natural Language Processing Feasibility Studies Health Information Interoperability Health Level Seven
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Phenotyping through Semi-Supervised Tensor Factorization (PSST).

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
A computational phenotype is a set of clinically relevant and interesting characteristics that describe patients with a given condition. Various machine learning methods have been proposed to derive phenotypes in an automatic, high-throughput manner....
Hypertension Phenotype Humans Machine Learning Electronic Health Records Algorithms Diabetes Mellitus, Type 2 Computational Biology
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Optimizing Corpus Creation for Training Word Embedding in Low Resource Domains: A Case Study in Autism Spectrum Disorder (ASD).

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Automating the extraction of behavioral criteria indicative of Autism Spectrum Disorder (ASD) in electronic health records (EHRs) can contribute significantly to the effort to monitor the condition. Word embedding algorithms such as Word2Vec can enco...
Autism Spectrum Disorder Electronic Health Records Natural Language Processing Information Storage and Retrieval Humans Machine Learning Algorithms Semantics Terminology as Topic
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Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. NAFLD patients have excessive liver fat (steatosis), without other liver diseases and without excessive alcohol consumption. NAFLD consists of a spectr...
Alanine Transaminase Aspartate Aminotransferases Liver Function Tests Male Decision Trees Logistic Models Case-Control Studies Humans Electronic Health Records Middle Aged Supervised Machine Learning Liver Cirrhosis Cohort Studies Biomarkers Disease Progression Female Non-alcoholic Fatty Liver Disease Health Status Diabetes Mellitus, Type 2 Hepatitis Risk Factors Fatty Liver Aged
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Towards the Inference of Social and Behavioral Determinants of Sexual Health: Development of a Gold-Standard Corpus with Semi-Supervised Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Social and behavioral determinants of health (SBDH) are environmental and behavioral factors that are increasingly recognized for their impact on health outcomes. We describe ongoing research to extract SBDH related to sexual health from clinical doc...
Electronic Health Records Female Male Natural Language Processing Humans Health Risk Behaviors Sexual Health Supervised Machine Learning Documentation Social Determinants of Health
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Applying Machine Learning to Linked Administrative and Clinical Data to Enhance the Detection of Homelessness among Vulnerable Veterans.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
U.S. military veterans who were discharged from service for misconduct are at high risk for homelessness. Stratifying homelessness risk based on both military service factors and clinical characteristics could facilitate targeted provision of prevent...
Adult Male United States Models, Statistical Databases as Topic Ill-Housed Persons Management Information Systems Humans Machine Learning Electronic Health Records Female Veterans Health Medical Record Linkage United States Department of Veterans Affairs Veterans
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An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Digital rectal examination (DRE) is considered a quality metric for prostate cancer care. However, much of the DRE related rich information is documented as free-text in clinical narratives. Therefore, we aimed to develop a natural language processin...
Terminology as Topic Digital Rectal Examination Natural Language Processing Humans Electronic Health Records Prostatic Neoplasms Male Algorithms Documentation Narration Semantics
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Generalized Extraction and Classification of Span-Level Clinical Phrases.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Much of the critical information in a patient's electronic health record (EHR) is hidden in unstructured text. As such, there is an increasing role for automated text extraction and summarization to make this information available in a way that can b...
Electronic Health Records Natural Language Processing Information Storage and Retrieval Humans
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A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Acute Respiratory Distress Syndrome (ARDS) is a syndrome of respiratory failure that may be identified using text from radiology reports. The objective of this study was to determine whether natural language processing (NLP) with machine learning per...
Radiography, Thoracic Natural Language Processing Area Under Curve Supervised Machine Learning Unified Medical Language System Cohort Studies Respiratory Distress Syndrome Predictive Value of Tests Risk Factors Male Aged Humans Middle Aged Electronic Health Records Adult Diagnosis, Computer-Assisted Female Length of Stay
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Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severity. While some electronic health record (EHR) systems capture PHQ-9 scores in a structured format, unstructured clinical notes remain the only source ...
Humans Natural Language Processing Information Storage and Retrieval Depressive Disorder Patient Health Questionnaire Electronic Health Records Adult Severity of Illness Index
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