AIMC Topic: Electronic Health Records

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TEPAPA: a novel in silico feature learning pipeline for mining prognostic and associative factors from text-based electronic medical records.

Scientific reports Jul 31, 2017
Vast amounts of clinically relevant text-based variables lie undiscovered and unexploited in electronic medical records (EMR). To exploit this untapped resource, and thus facilitate the discovery of informative covariates from unstructured clinical n...
Middle Aged Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Supervised Machine Learning Data Mining Head and Neck Neoplasms Natural Language Processing Female Aged Male Humans Prognosis Electronic Health Records
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A cascaded approach for Chinese clinical text de-identification with less annotation effort.

Journal of biomedical informatics Jul 26, 2017
With rapid adoption of Electronic Health Records (EHR) in China, an increasing amount of clinical data has been available to support clinical research. Clinical data secondary use usually requires de-identification of personal information to protect ...
Natural Language Processing Confidentiality Data Curation Humans Electronic Health Records China
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A Regularized Deep Learning Approach for Clinical Risk Prediction of Acute Coronary Syndrome Using Electronic Health Records.

IEEE transactions on bio-medical engineering Jul 24, 2017
OBJECTIVE: Acute coronary syndrome (ACS), as a common and severe cardiovascular disease, is a leading cause of death and the principal cause of serious long-term disability globally. Clinical risk prediction of ACS is important for early intervention...
Reproducibility of Results Risk Factors Male Risk Assessment Humans Electronic Health Records Female Acute Coronary Syndrome Deep Learning Computational Biology Data Mining
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Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression.

Evidence-based mental health Jul 24, 2017
BACKGROUND: We report a study of machine learning applied to the phenotyping of psychiatric diagnosis for research recruitment in youth depression, conducted with 861 labelled electronic medical records (EMRs) documents. A model was built that could ...
Humans Algorithms Depression Machine Learning Electronic Health Records Young Adult Adolescent
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Learning a Health Knowledge Graph from Electronic Medical Records.

Scientific reports Jul 20, 2017
Demand for clinical decision support systems in medicine and self-diagnostic symptom checkers has substantially increased in recent years. Existing platforms rely on knowledge bases manually compiled through a labor-intensive process or automatically...
Disease Adult Middle Aged Knowledge Bases Humans Electronic Health Records
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The Economic Burden of ACPA-Positive Status Among Patients with Rheumatoid Arthritis.

Journal of managed care & specialty pharmacy Jul 17, 2017
BACKGROUND: Anticitrullinated protein antibodies (ACPAs) are serological biomarkers associated with early, rapidly progressing rheumatoid arthritis (RA), including more severe disease and joint damage. ACPA testing has become a routine tool for RA di...
Young Adult Anti-Citrullinated Protein Antibodies Antirheumatic Agents Electronic Health Records Cost of Illness Adult Arthritis, Rheumatoid Biological Products Male Female Treatment Outcome Health Expenditures Middle Aged Aged Humans Disease Progression Biomarkers Retrospective Studies
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Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.

Journal of biomedical informatics Jul 17, 2017
We followed a systematic approach based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) systems that generate structured information from unstructured free text...
Humans Electronic Health Records Natural Language Processing
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Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.

PloS one Jul 14, 2017
Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients. Large scale adoption of Electronic Health Records (EHR) has created the opportunity to proacti...
Child, Preschool Child ROC Curve Area Under Curve Patient Readmission Humans Infant Length of Stay Adolescent Infant, Newborn Neural Networks, Computer Young Adult Risk Factors Databases, Factual Aged Adult Electronic Health Records Aged, 80 and over Middle Aged
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Recurrent neural networks for classifying relations in clinical notes.

Journal of biomedical informatics Jul 8, 2017
We proposed the first models based on recurrent neural networks (more specifically Long Short-Term Memory - LSTM) for classifying relations from clinical notes. We tested our models on the i2b2/VA relation classification challenge dataset. We showed ...
Language Narration Natural Language Processing Data Mining Humans Neural Networks, Computer Electronic Health Records
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Defining and characterizing the critical transition state prior to the type 2 diabetes disease.

PloS one Jul 7, 2017
BACKGROUND: Type 2 diabetes mellitus (T2DM), with increased risk of serious long-term complications, currently represents 8.3% of the adult population. We hypothesized that a critical transition state prior to the new onset T2DM can be revealed throu...
Humans Electronic Health Records Support Vector Machine Markov Chains Datasets as Topic Gene Expression Profiling Maine Diabetes Mellitus, Type 2 Gene Expression Regulation Health Information Exchange Insulin Resistance Prediabetic State Female Adult Male
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