AIMC Topic: Humans

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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....
Phenotype Electronic Health Records Diabetes Mellitus, Type 2 Computational Biology Humans Machine Learning Algorithms Hypertension
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SmartHeLP: Smartphone-based Hemoglobin Level Prediction Using an Artificial Neural Network.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Blood hemoglobin level (Hgb) measurement has a vital role in the diagnosis, evaluation, and management of numerous diseases. We describe the use of smartphone video imaging and an artificial neural network (ANN) system to estimate Hgb levels non-inva...
Middle Aged Smartphone Regression Analysis Hemoglobins Video Recording Datasets as Topic Spectrum Analysis Humans Neural Networks, Computer Female Young Adult Adult Sensitivity and Specificity Male
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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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How Sustainable are Biomedical Ontologies?

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
BioPortal is widely regarded to be the world's most comprehensive repository of biomedical ontologies. With a coverage of many biomedical subfields by 716 ontologies (June 27, 2018), BioPortal is an extremely diverse repository. BioPortal maintains e...
Bibliometrics Access to Information Biological Ontologies Humans
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An Interpretable ICU Mortality Prediction Model Based on Logistic Regression and Recurrent Neural Networks with LSTM units.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Most existing studies used logistic regression to establish scoring systems to predict intensive care unit (ICU) mortality. Machine learning-based approaches can achieve higher prediction accuracy but, unlike the scoring systems, frequently cannot pr...
Databases, Genetic Risk Assessment Hospital Mortality Logistic Models Humans Machine Learning Neural Networks, Computer Prognosis Intensive Care Units Hospitalization
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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...
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Supervised Machine Learning Non-alcoholic Fatty Liver Disease Hepatitis Alanine Transaminase Aspartate Aminotransferases Liver Function Tests Logistic Models Liver Cirrhosis Health Status Decision Trees Cohort Studies Diabetes Mellitus, Type 2 Fatty Liver Humans Biomarkers Electronic Health Records Male Female Middle Aged Risk Factors Disease Progression Aged Case-Control Studies
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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...
Humans Health Risk Behaviors Natural Language Processing Sexual Health Supervised Machine Learning Documentation Social Determinants of Health Electronic Health Records Female Male
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Finding medication doses in the liteature.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Medication doses, one of the determining factors in medication safety and effectiveness, are present in the literature, but only in free-text form. We set out to determine if the systems developed for extracting drug prescription information from cli...
Drug Administration Routes Information Storage and Retrieval Drug Dosage Calculations Drug Administration Schedule Humans Neural Networks, Computer Deep Learning Pharmaceutical Preparations PubMed
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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...
Humans Databases as Topic Ill-Housed Persons Management Information Systems Medical Record Linkage United States Department of Veterans Affairs Veterans Veterans Health Machine Learning Adult Electronic Health Records Male Female United States Models, Statistical
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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 Electronic Health Records Documentation Semantics Terminology as Topic Digital Rectal Examination Male Narration Natural Language Processing Prostatic Neoplasms
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