AIMC Topic: Humans

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Incorporating Knowledge-Driven Insights into a Collaborative Filtering Model to Facilitate the Differential Diagnosis of Rare Diseases.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Rare diseases, although individually rare, collectively affect one in ten Americans. Because of their rarity, patients with rare diseases are typically left misdiagnosed or undiagnosed, which leads to a prolonged medical journey. The diagnosis pathwa...
Knowledge Bases Data Collection Systematized Nomenclature of Medicine Biological Ontologies Statistics as Topic Rare Diseases Knowledge Discovery Humans Algorithms Diagnosis, Differential
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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...
Neoplasm Metastasis Humans Male California Machine Learning Cohort Studies Information Storage and Retrieval International Classification of Diseases Electronic Health Records Medical Informatics Proof of Concept Study Prostatic Neoplasms Neoplasm Staging
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The Sublanguage of Clinical Problem Lists: A Corpus Analysis.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
.Summary-level clinical text is an important part of the overall clinical record as it provides a condensed and efficient view into the issues pertinent to the patient, or their "problem list." These problem lists contain a wealth of information pert...
Systematized Nomenclature of Medicine Terminology as Topic Unified Medical Language System Medical Records, Problem-Oriented Humans Natural Language Processing Semantics
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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...
Dental Records Humans Electronic Health Records Aged Pilot Projects Cardiovascular Diseases Natural Language Processing Self Report Information Storage and Retrieval
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Utility of General and Specific Word Embeddings for Classifying Translational Stages of Research.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Conventional text classification models make a bag-of-words assumption reducing text into word occurrence counts per document. Recent algorithms such as word2vec are capable of learning semantic meaning and similarity between words in an entirely uns...
Bayes Theorem Semantics Logistic Models Support Vector Machine Decision Trees Natural Language Processing Humans Algorithms
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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' ...
Substance Abuse Detection Information Storage and Retrieval Female Male Substance-Related Disorders Humans Neural Networks, Computer Machine Learning Algorithms Electronic Health Records
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Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Clusters of differentiation () are cell surface biomarkers that denote key biological differences between cell types and disease state. CD-targeting therapeutic monoclonal antibodies () afford rich trans-disease repositioning opportunities. Within a ...
Sialic Acid Binding Ig-like Lectin 2 Aged Antigens, CD20 Child Young Adult Middle Aged Humans Cell Adhesion Molecules Cell Differentiation Case-Control Studies Adult Ki-1 Antigen Lupus Erythematosus, Systemic Adolescent Machine Learning Male Reference Values Biomarkers Female
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DrKnow: A Diagnostic Learning Tool with Feedback from Automated Clinical Decision Support.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Providing medical trainees with effective feedback is critical to the successful development of their diagnostic reasoning skills. We present the design of DrKnow, a web-based learning application that utilises a clinical decision support system (CDS...
Humans Machine Learning Diagnosis, Differential Abdominal Pain Internet Education, Medical, Undergraduate Students, Medical Feedback Decision Support Systems, Clinical Simulation Training Teaching Computer-Assisted Instruction
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Disease comorbidity-guided drug repositioning: a case study in schizophrenia.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
UNLABELLED: The key to any computational drug repositioning is the availability of relevant data in machine-understandable format. While large amount of genetic, genomic and chemical data are publicly available, large-scale higher-level disease and d...
Information Storage and Retrieval Drug Discovery Antipsychotic Agents Comorbidity Genomics Drug Repositioning Natural Language Processing Schizophrenia Humans Knowledge Bases Algorithms Phenotype Databases, Factual
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Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Accurate image-based medical diagnosis relies upon adequate image quality and clarity. This has important implications for clinical diagnosis, and for emerging methods such as telemedicine and computer-based image analysis. In this study, we trained ...
Neural Networks, Computer Algorithms Infant, Newborn Reproducibility of Results Humans Retina Telemedicine Infant, Premature Deep Learning Retinopathy of Prematurity ROC Curve Area Under Curve Fundus Oculi
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