AIMC Topic: Algorithms

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Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Manual Chart Review (MCR) is an important but labor-intensive task for clinical research and quality improvement. In this study, aiming to accelerate the process of extracting postoperative outcomes from medical charts, we developed an automated post...
Shock, Septic Surgical Wound Infection Pneumonia Medical Audit Urinary Tract Infections Humans Machine Learning Algorithms Electronic Health Records Postoperative Complications Sepsis
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Differentiating Sense through Semantic Interaction Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Words which have different representations but are semantically related, such as dementia and delirium, can pose difficult issues in understanding text. We explore the use of interaction frequency data between semantic elements as a means to differen...
Software Algorithms Cluster Analysis Terminology as Topic Natural Language Processing Humans Semantics
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Resource Classification for Medical Questions.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
We present an approach for manually and automatically classifying the resource type of medical questions. Three types of resources are considered: patient-specific, general knowledge, and research. Using this approach, an automatic question answering...
Humans Information Seeking Behavior Hypersensitivity Machine Learning Algorithms Datasets as Topic Natural Language Processing Information Storage and Retrieval Semantics
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Bayesian Machine Learning Techniques for revealing complex interactions among genetic and clinical factors in association with extra-intestinal Manifestations in IBD patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
The objective of the study is to assess the predictive performance of three different techniques as classifiers for extra-intestinal manifestations in 152 patients with Crohn's disease. Naïve Bayes, Bayesian Additive Regression Trees and Bayesian Net...
Polymorphism, Genetic Bayes Theorem Machine Learning Crohn Disease Algorithms Data Mining Humans Female Male Risk Factors Genetic Predisposition to Disease Models, Statistical
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A First Step towards a Clinical Decision Support System for Post-traumatic Stress Disorders.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
PTSD is distressful and debilitating, following a non-remitting course in about 10% to 20% of trauma survivors. Numerous risk indicators of PTSD have been identified, but individual level prediction remains elusive. As an effort to bridge the gap bet...
Decision Support Systems, Clinical Support Vector Machine Feasibility Studies Risk Factors Male Stress Disorders, Post-Traumatic Algorithms Decision Support Techniques Female Humans
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A Topic-modeling Based Framework for Drug-drug Interaction Classification from Biomedical Text.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Classification of drug-drug interaction (DDI) from medical literatures is significant in preventing medication-related errors. Most of the existing machine learning approaches are based on supervised learning methods. However, the dynamic nature of d...
Humans Machine Learning Information Storage and Retrieval Algorithms Drug Interactions
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Towards Comprehensive Clinical Abbreviation Disambiguation Using Machine-Labeled Training Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Abbreviation disambiguation in clinical texts is a problem handled well by fully supervised machine learning methods. Acquiring training data, however, is expensive and would be impractical for large numbers of abbreviations in specialized corpora. A...
Algorithms Electronic Health Records Bayes Theorem Logistic Models Abbreviations as Topic Natural Language Processing
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Recognizing Question Entailment for Medical Question Answering.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
With the increasing heterogeneity and specialization of medical texts, automated question answering is becoming more and more challenging. In this context, answering a given medical question by retrieving similar questions that are already answered b...
Information Storage and Retrieval National Library of Medicine (U.S.) Information Seeking Behavior Internet Expert Systems Databases as Topic Consumer Health Information Algorithms United States Humans Machine Learning
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Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies.

Computer methods and programs in biomedicine Feb 9, 2017
BACKGROUND AND OBJECTIVES: Early-phase virtual screening of candidate drug molecules plays a key role in pharmaceutical industry from data mining and machine learning to prevent adverse effects of the drugs. Computational classification methods can d...
Patient Safety Computer Simulation Sensitivity and Specificity Benzene Humans Algorithms Nervous System Ethylamines Safety-Based Drug Withdrawals Toluene Linear Models Pattern Recognition, Automated Risk Drug Monitoring False Positive Reactions Product Surveillance, Postmarketing Pharmaceutical Preparations Drug Approval Data Mining Support Vector Machine Carbon Area Under Curve
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Evolving Network Model That Almost Regenerates Epileptic Data.

Neural computation Feb 9, 2017
In many realistic networks, the edges representing the interactions between nodes are time varying. Evidence is growing that the complex network that models the dynamics of the human brain has time-varying interconnections, that is, the network is ev...
Humans Neural Networks, Computer Algorithms Electroencephalography Epilepsy Nonlinear Dynamics Wavelet Analysis Brain Time Factors Brain Mapping
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