AIMC Topic: Humans

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Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Parkinson's Disease (PD) is one of the most prevalent neurodegenerative diseases that affects tens of millions of Americans. PD is highly progressive and heterogeneous. Quite a few studies have been conducted in recent years on predictive or disease ...
Parkinson Disease Neuroimaging Brain Cohort Studies Disease Progression Models, Neurological Deep Learning Humans Biomarkers
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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...
Decision Support Systems, Clinical PubMed Data Mining Information Storage and Retrieval Biological Ontologies Disease MEDLINE Humans Diagnosis Symptom Assessment
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Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
There has been an increasing interest in developing deep learning methods to recognize clinical concepts from narrative clinical text. Recently, several studies have reported that Recurrent Neural Networks (RNNs) outperformed traditional machine lear...
Deep Learning Natural Language Processing Unified Medical Language System Humans Neural Networks, Computer
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Disease Trajectories and End-of-Life Care for Dementias: Latent Topic Modeling and Trend Analysis Using Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Despite the increasing prevalence, growing costs, and high mortality of dementia in older adults in the U.S., little is known about the course of these diseases and what care dementia patients receive in their final years of life. Using a large volum...
Models, Theoretical Unsupervised Machine Learning Humans Terminal Care Retrospective Studies Female Male Electronic Health Records Dementia Aged Aged, 80 and over Data Collection
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A Preliminary Study of Clinical Concept Detection Using Syntactic Relations.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Concept detection is an integral step in natural language processing (NLP) applications in the clinical domain. Clinical concepts are detailed (e.g., "pain in left/right upper/lower arm/leg") and expressed in diverse phrase types (e.g., noun, verb, a...
Natural Language Processing Semantics Pattern Recognition, Automated Unified Medical Language System Humans Algorithms Electronic Health Records
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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...
Electroencephalography Information Storage and Retrieval Electronic Data Processing Cohort Studies Natural Language Processing Humans Deep Learning
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A Hybrid Residual Network and Long Short-Term Memory Method for Peptic Ulcer Bleeding Mortality Prediction.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
The prediction of patient mortality, which can detect high-risk patients, is a significant yet challenging problem in medical informatics. Thanks to the wide adoption of electronic health records (EHRs), many data-driven methods have been proposed to...
Area Under Curve Peptic Ulcer Hemorrhage Humans Neural Networks, Computer Algorithms Electronic Health Records Risk Assessment ROC Curve
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Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Sepsis is the leading cause of mortality in the ICU. It is challenging to manage because individual patients respond differently to treatment. Thus, tailoring treatment to the individual patient is essential for the best outcomes. In this paper, we t...
Humans Machine Learning Retrospective Studies Infusions, Intravenous Fluid Therapy Vasoconstrictor Agents Intensive Care Units Deep Learning Sepsis Medical History Taking Observation
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Shared Decision-Making Ontology for a Healthcare Team Executing a Workflow, an Instantiation for Metastatic Spinal Cord Compression Management.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Regardless of potential benefits and better outcomes, adoption of shared decision-making between a patient and providers involved in his/her care is still in its infancy. This paper intends to fill this gap by formalizing shared decision-making, situ...
Decision Making, Shared Spinal Cord Compression Decision Support Systems, Clinical Workflow Biological Ontologies Humans Spinal Neoplasms Female Patient Care Team Male Patient Participation
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Validation of the Behavior of a Knowledge Base Implementing Clinical Guidelines for Point-of-Care Antiretroviral Toxicity Monitoring.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
This study investigated the automated detection of antiretroviral toxicities in structured electronic health records data. The evaluation compared responses generated by 5 clinical pharmacists and 1 prototype knowledge-based application for 15 random...
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Electronic Health Records Point-of-Care Systems HIV Infections Humans Knowledge Bases Practice Guidelines as Topic Pharmacists Point-of-Care Testing Drug Monitoring Anti-Retroviral Agents
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