AIMC Topic: Electronic Health Records

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Identifying Cases of Metastatic Prostate Cancer Using Machine Learning on Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Cancer stage is rarely captured in structured form in the electronic health record (EHR). We evaluate the performance of a classifier, trained on structured EHR data, in identifying prostate cancer patients with metastatic disease. Using EHR data for...
Proof of Concept Study Male Medical Informatics Neoplasm Staging Cohort Studies Humans California Prostatic Neoplasms Machine Learning Neoplasm Metastasis International Classification of Diseases Electronic Health Records Information Storage and Retrieval
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Assessing Information Congruence of Documented Cardiovascular Disease between Electronic Dental and Medical Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Dentists are more often treating patients with Cardiovascular Diseases (CVD) in their clinics; therefore, dentists may need to alter treatment plans in the presence of CVD. However, it's unclear to what extent patient-reported CVD information is accu...
Self Report Information Storage and Retrieval Dental Records Cardiovascular Diseases Pilot Projects Natural Language Processing Humans Electronic Health Records Aged
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Using Neural Multi-task Learning to Extract Substance Abuse Information from Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Substance abuse carries many negative health consequences. Detailed information about patients' substance abuse history is usually captured in free-text clinical notes. Automatic extraction of substance abuse information is vital to assess patients' ...
Information Storage and Retrieval Male Substance-Related Disorders Substance Abuse Detection Algorithms Electronic Health Records Female Humans Neural Networks, Computer Machine Learning
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Disease Trajectories and End-of-Life Care for Dementias: Latent Topic Modeling and Trend Analysis Using Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Despite the increasing prevalence, growing costs, and high mortality of dementia in older adults in the U.S., little is known about the course of these diseases and what care dementia patients receive in their final years of life. Using a large volum...
Electronic Health Records Female Aged Humans Retrospective Studies Data Collection Models, Theoretical Aged, 80 and over Unsupervised Machine Learning Male Terminal Care Dementia
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A Preliminary Study of Clinical Concept Detection Using Syntactic Relations.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Concept detection is an integral step in natural language processing (NLP) applications in the clinical domain. Clinical concepts are detailed (e.g., "pain in left/right upper/lower arm/leg") and expressed in diverse phrase types (e.g., noun, verb, a...
Pattern Recognition, Automated Unified Medical Language System Humans Algorithms Electronic Health Records Natural Language Processing Semantics
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A Hybrid Residual Network and Long Short-Term Memory Method for Peptic Ulcer Bleeding Mortality Prediction.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
The prediction of patient mortality, which can detect high-risk patients, is a significant yet challenging problem in medical informatics. Thanks to the wide adoption of electronic health records (EHRs), many data-driven methods have been proposed to...
Neural Networks, Computer Algorithms Electronic Health Records Humans Peptic Ulcer Hemorrhage Risk Assessment ROC Curve Area Under Curve
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Validation of the Behavior of a Knowledge Base Implementing Clinical Guidelines for Point-of-Care Antiretroviral Toxicity Monitoring.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
This study investigated the automated detection of antiretroviral toxicities in structured electronic health records data. The evaluation compared responses generated by 5 clinical pharmacists and 1 prototype knowledge-based application for 15 random...
Humans Electronic Health Records Practice Guidelines as Topic Pharmacists Drug Monitoring Point-of-Care Systems Anti-Retroviral Agents HIV Infections Knowledge Bases Point-of-Care Testing
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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...
Unified Medical Language System Clinical Coding Humans Natural Language Processing Systematized Nomenclature of Medicine Electronic Health Records International Classification of Diseases Hospitals Australia
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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...
Electronic Health Records User-Computer Interface Respiratory Insufficiency Diagnostic Tests, Routine Information Seeking Behavior Medical Records Systems, Computerized Humans Physicians Acute Kidney Injury Machine Learning Intensive Care Units
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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 ...
Humans Natural Language Processing Data Anonymization Methods Machine Learning Algorithms Electronic Health Records
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