AIMC Topic: Electronic Health Records

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Using machine learning to parse breast pathology reports.

Breast cancer research and treatment Nov 8, 2016
PURPOSE: Extracting information from electronic medical record is a time-consuming and expensive process when done manually. Rule-based and machine learning techniques are two approaches to solving this problem. In this study, we trained a machine le...
Humans Machine Learning Databases, Factual Electronic Health Records Neoplasm Staging Neoplasm Grading Data Mining Female Neoplasm Metastasis Reproducibility of Results Breast Neoplasms
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Early Detection of Heart Failure Using Electronic Health Records: Practical Implications for Time Before Diagnosis, Data Diversity, Data Quantity, and Data Density.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Using electronic health records data to predict events and onset of diseases is increasingly common. Relatively little is known, although, about the tradeoffs between data requirements and model utility.
Data Mining Early Diagnosis Pennsylvania Predictive Value of Tests Male Electronic Health Records Humans ROC Curve Area Under Curve Incidence Machine Learning Female Risk Assessment Heart Failure Time Factors Logistic Models Prognosis Case-Control Studies Risk Factors
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Learning About Machine Learning: The Promise and Pitfalls of Big Data and the Electronic Health Record.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
Humans Machine Learning Electronic Health Records
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Predicting early psychiatric readmission with natural language processing of narrative discharge summaries.

Translational psychiatry Oct 18, 2016
The ability to predict psychiatric readmission would facilitate the development of interventions to reduce this risk, a major driver of psychiatric health-care costs. The symptoms or characteristics of illness course necessary to develop reliable pre...
Adult Male Middle Aged Electronic Health Records Female Aged Time Factors Models, Statistical Narration Natural Language Processing Risk Assessment Depressive Disorder, Major Cohort Studies Humans Massachusetts Patient Readmission Kaplan-Meier Estimate Patient Discharge Summaries
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Semi-supervised learning of the electronic health record for phenotype stratification.

Journal of biomedical informatics Oct 12, 2016
Patient interactions with health care providers result in entries to electronic health records (EHRs). EHRs were built for clinical and billing purposes but contain many data points about an individual. Mining these records provides opportunities to ...
Electronic Health Records Humans Phenotype Supervised Machine Learning Disease
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A Concept-Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure.

Clinical journal of the American Society of Nephrology : CJASN Oct 10, 2016
BACKGROUND AND OBJECTIVES: Identifying predictors of kidney disease progression is critical toward the development of strategies to prevent kidney failure. Clinical notes provide a unique opportunity for big data approaches to identify novel risk fac...
Proportional Hazards Models Humans Boston Middle Aged Disease Progression Risk Factors Incidence Nephrology Retrospective Studies Aged Adult Outpatient Clinics, Hospital Natural Language Processing Electronic Health Records Male Kidney Failure, Chronic Female
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Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction.

Journal of biomedical informatics Oct 8, 2016
BACKGROUND: Anaphoric references occur ubiquitously in clinical narrative text. However, the problem, still very much an open challenge, is typically less aggressively focused on in clinical text domain applications. Furthermore, existing research on...
Natural Language Processing Data Mining Semantics Electronic Health Records Humans Liver Neoplasms Algorithms
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A machine learning-based framework to identify type 2 diabetes through electronic health records.

International journal of medical informatics Oct 1, 2016
OBJECTIVE: To discover diverse genotype-phenotype associations affiliated with Type 2 Diabetes Mellitus (T2DM) via genome-wide association study (GWAS) and phenome-wide association study (PheWAS), more cases (T2DM subjects) and controls (subjects wit...
Pilot Projects Genome-Wide Association Study Diabetes Mellitus, Type 2 Bayes Theorem Machine Learning Logistic Models Algorithms Support Vector Machine Electronic Health Records Humans
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Mapping Phenotypic Information in Heterogeneous Textual Sources to a Domain-Specific Terminological Resource.

PloS one Sep 19, 2016
Biomedical literature articles and narrative content from Electronic Health Records (EHRs) both constitute rich sources of disease-phenotype information. Phenotype concepts may be mentioned in text in multiple ways, using phrases with a variety of st...
Vocabulary, Controlled Humans Phenotype Electronic Health Records Data Mining Narration Semantics Natural Language Processing Unified Medical Language System Pulmonary Embolism Heart Failure
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Diagnosis, misdiagnosis, lucky guess, hearsay, and more: an ontological analysis.

Journal of biomedical semantics Sep 15, 2016
BACKGROUND: Disease and diagnosis have been the subject of much ontological inquiry. However, the insights gained therein have not yet been well enough applied to the study, management, and improvement of data quality in electronic health records (EH...
Humans Electronic Health Records Biological Ontologies Diagnostic Errors Semantics
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