AIMC Topic: Information Storage and Retrieval

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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...
International Classification of Diseases Prostatic Neoplasms Proof of Concept Study Neoplasm Staging Neoplasm Metastasis Electronic Health Records Information Storage and Retrieval Humans Male Medical Informatics Machine Learning Cohort Studies California
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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...
Humans Electronic Health Records Information Storage and Retrieval Dental Records Pilot Projects Aged Natural Language Processing Cardiovascular Diseases Self Report
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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' ...
Humans Neural Networks, Computer Machine Learning Algorithms Electronic Health Records Substance-Related Disorders Female Substance Abuse Detection Male Information Storage and Retrieval
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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 Antipsychotic Agents Natural Language Processing Humans Genomics Algorithms Schizophrenia Drug Repositioning Phenotype Knowledge Bases Databases, Factual Drug Discovery Comorbidity
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Mining Disease-Symptom Relation from Massive Biomedical Literature and Its Application in Severe Disease Diagnosis.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Disease-symptom relation is an important biomedical relation that can be used for clinical decision support including building medical diagnostic systems. Here we present a study on mining disease-symptom relation from massive biomedical literature a...
Disease Diagnosis Symptom Assessment Information Storage and Retrieval Biological Ontologies MEDLINE Humans Decision Support Systems, Clinical PubMed Data Mining
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The Role of a Deep-Learning Method for Negation Detection in Patient Cohort Identification from Electroencephalography Reports.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Detecting negation in biomedical texts entails the automatic identification of negation cues (e.g. "never", "not", "no longer") as well as the scope of these cues. When medical concepts or terms are identified within the scope of a negation cue, thei...
Natural Language Processing Electroencephalography Information Storage and Retrieval Humans Deep Learning Cohort Studies Electronic Data Processing
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Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Reviewing radiology reports in emergency departments is an essential but laborious task. Timely follow-up of patients with abnormal cases in their radiology reports may dramatically affect the patient's outcome, especially if they have been discharge...
Algorithms Radiology Information Systems Natural Language Processing Supervised Machine Learning Emergency Service, Hospital Neural Networks, Computer Information Storage and Retrieval Classification
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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...
Electronic Health Records Natural Language Processing Machine Learning Information Storage and Retrieval Semantics Algorithms Humans Terminology as Topic Autism Spectrum Disorder
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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...
PubMed Information Storage and Retrieval Drug Dosage Calculations Neural Networks, Computer Deep Learning Pharmaceutical Preparations Humans Drug Administration Schedule Drug Administration Routes
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Generalized Extraction and Classification of Span-Level Clinical Phrases.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Much of the critical information in a patient's electronic health record (EHR) is hidden in unstructured text. As such, there is an increasing role for automated text extraction and summarization to make this information available in a way that can b...
Electronic Health Records Humans Natural Language Processing Information Storage and Retrieval
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