AIMC Topic: Electronic Health Records

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Computer-Assisted Diagnostic Coding: Effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Computer-assisted (diagnostic) coding (CAC) aims to improve the operational productivity and accuracy of clinical coders. The level of accuracy, especially for a wide range of complex and less prevalent clinical cases, remains an open research proble...
Australia Natural Language Processing Systematized Nomenclature of Medicine Clinical Coding International Classification of Diseases Unified Medical Language System Humans Electronic Health Records Hospitals
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Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Poor electronic medical record (EMR) usability is detrimental to both clinicians and patients. A better EMR would provide concise, context sensitive patient data, but doing so entails the difficult task of knowing which data are relevant. To determin...
User-Computer Interface Acute Kidney Injury Information Seeking Behavior Respiratory Insufficiency Humans Intensive Care Units Medical Records Systems, Computerized Machine Learning Electronic Health Records Diagnostic Tests, Routine Physicians
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Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Text de-identification is an application of clinical natural language processing that offers significant efficiency and scalability advantages. Hence, various learning algorithms have been applied to this task to yield better performance. Instead of ...
Natural Language Processing Data Anonymization Methods Machine Learning Algorithms Electronic Health Records Humans
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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 Health Information Interoperability Health Level Seven Electronic Health Records Natural Language Processing Feasibility Studies
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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....
Diabetes Mellitus, Type 2 Computational Biology Hypertension Algorithms Humans Phenotype Machine Learning Electronic Health Records
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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...
Humans Machine Learning Natural Language Processing Algorithms Semantics Autism Spectrum Disorder Information Storage and Retrieval Terminology as Topic Electronic Health Records
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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...
Liver Cirrhosis Health Status Decision Trees Hepatitis Alanine Transaminase Supervised Machine Learning Non-alcoholic Fatty Liver Disease Diabetes Mellitus, Type 2 Fatty Liver Logistic Models Disease Progression Case-Control Studies Cohort Studies Humans Risk Factors Aspartate Aminotransferases Biomarkers Male Aged Liver Function Tests Middle Aged Electronic Health Records Female
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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...
Social Determinants of Health Health Risk Behaviors Sexual Health Humans Electronic Health Records Male Supervised Machine Learning Female Natural Language Processing Documentation
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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...
United States Department of Veterans Affairs Veterans Veterans Health Male United States Models, Statistical Management Information Systems Machine Learning Medical Record Linkage Electronic Health Records Databases as Topic Female Humans Ill-Housed Persons Adult
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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...
Humans Algorithms Documentation Electronic Health Records Semantics Male Narration Terminology as Topic Natural Language Processing Digital Rectal Examination Prostatic Neoplasms
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