AIMC Topic: Humans
Showing 66671 to 66680 of 95995 articles
Computer-Assisted Diagnostic Coding: Effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Computer-assisted (diagnostic) coding (CAC) aims to improve the operational productivity and accuracy of clinical coders. The level of accuracy, especially for a wide range of complex and less prevalent clinical cases, remains an open research proble...
Leveraging Knowledge Representation to Maintain Immunization Clinical Decision Support.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Immunizations are one of the most cost-effective interventions for preventing morbidity and mortality. As vaccines, related clinical knowledge and requirements change, clinical applications must be updated in a timely manner to avoid practicing outda...
Scalable Electronic Phenotyping For Studying Patient Comorbidities.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Over 75 million Americans have multiple concurrent chronic conditions and medical decision making for these patients is mostly based on retrospective cohort studies. Current methods to generate cohorts of patients with comorbidities are neither scala...
Investigating a Needle-Based Epidural Procedure in Obstetric Anesthesia.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
This study investigates the safety and efficacy of a large-dose, needle-based epidural technique in obstetric anesthesia. The technique differs from a standard, catheter-based approach in that the anesthetic dose is administered through an epidural n...
Methodological Advances in the Study of Hidden Variables: A Demonstration on Clinical Alcohol Use Disorder Data.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Research in the domain of psychopathology has been hindered by hidden variables-variables that are important to understanding and treating psychopathological illnesses but are unmeasured. Recent methodological advances in machine learning have culmin...
Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Poor electronic medical record (EMR) usability is detrimental to both clinicians and patients. A better EMR would provide concise, context sensitive patient data, but doing so entails the difficult task of knowing which data are relevant. To determin...
Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Text de-identification is an application of clinical natural language processing that offers significant efficiency and scalability advantages. Hence, various learning algorithms have been applied to this task to yield better performance. Instead of ...
A hybrid approach for automated mutation annotation of the extended human mutation landscape in scientific literature.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
As the cost of DNA sequencing continues to fall, an increasing amount of information on human genetic variation is being produced that could help progress precision medicine. However, information about such mutations is typically first made available...
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Learning to Personalize from Practice: A Real World Evidence Approach of Care Plan Personalization based on Differential Patient Behavioral Responses in Care Management Records.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Recent studies documented the importance of individuality and heterogeneity in care planning. In practice, varying behavioral responses are revealed in patients' care management (CM) records. However, today's care programs are structured around popul...
Standardizing Heterogeneous Annotation Corpora Using HL7 FHIR for Facilitating their Reuse and Integration in Clinical NLP.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Manually annotated clinical corpora are commonly used as the gold standards for the training and evaluation of clinical natural language processing (NLP) tools. The creation of these manual annotation corpora, however, is both costly and time-consumi...
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