AIMC Journal:
Studies in health technology and informatics

Showing 1021 to 1030 of 1278 articles

Development of a Deep Learning Algorithm for Automatic Diagnosis of Diabetic Retinopathy.

Studies in health technology and informatics Jan 1, 2017
This paper mainly focuses on the deep learning application in classifying the stage of diabetic retinopathy and detecting the laterality of the eye using funduscopic images. Diabetic retinopathy is a chronic, progressive, sight-threatening disease of...
Algorithms Neural Networks, Computer Automation Machine Learning Sensitivity and Specificity Humans Diabetic Retinopathy
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Unsupervised Abbreviation Expansion in Clinical Narratives.

Studies in health technology and informatics Jan 1, 2017
Clinical narratives are typically produced under time pressure, which incites the use of abbreviations and acronyms. To expand such short forms in a correct way eases text comprehension and further semantic processing. We propose a completely unsuper...
Natural Language Processing Semantics Algorithms Humans Pressure Narration
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Enhanced LexSynonym Acquisition for Effective UMLS Concept Mapping.

Studies in health technology and informatics Jan 1, 2017
Concept mapping is important in natural language processing (NLP) for bioinformatics. The UMLS Metathesaurus provides a rich synonym thesaurus and is a popular resource for concept mapping. Query expansion using synonyms for subterm substitutions is ...
Vocabulary, Controlled Semantics Unified Medical Language System Natural Language Processing
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Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation.

Studies in health technology and informatics Jan 1, 2017
Dividing patients into similar groups plays a significant role in implementing personalized care. Clinicians and researchers have been applying patient grouping techniques in disease phenotyping, risk stratification, and personalized medicine. Howeve...
Brain Ischemia Humans Cluster Analysis Stroke Anticoagulants Atrial Fibrillation Risk Factors Cohort Studies
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Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients.

Studies in health technology and informatics Jan 1, 2017
Acute myocardial infarction is a major cause of hospitalization and mortality in China, where ST-elevation myocardial infarction (STEMI) is more severe and has a higher mortality rate. Accurate and interpretable prediction of in-hospital mortality is...
Bayes Theorem Myocardial Infarction China Hospital Mortality Machine Learning Humans Forecasting
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Developing Methodologies to Find Abbreviated Laboratory Test Names in Narrative Clinical Documents by Generating High Quality Q-Grams.

Studies in health technology and informatics Jan 1, 2017
Laboratory test names are used as basic information to diagnose diseases. However, this kind of medical information is usually written in a natural language. To find this information, lexicon based methods have been good solutions but they cannot fin...
Humans Narration Algorithms Natural Language Processing Language Unified Medical Language System
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Diagnostic Machine Learning Models for Acute Abdominal Pain: Towards an e-Learning Tool for Medical Students.

Studies in health technology and informatics Jan 1, 2017
Computer-aided learning systems (e-learning systems) can help medical students gain more experience with diagnostic reasoning and decision making. Within this context, providing feedback that matches students' needs (i.e. personalised feedback) is bo...
Humans Machine Learning Decision Making Feedback Abdominal Pain Education, Medical, Undergraduate Clinical Competence Learning Students, Medical
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Prediction and Factor Extraction of Drug Function by Analyzing Medical Records in Developing Countries.

Studies in health technology and informatics Jan 1, 2017
The World Health Organization has declared Bangladesh one of 58 countries facing acute Human Resources for Health (HRH) crisis. Artificial intelligence in healthcare has been shown to be successful for diagnostics. Using machine learning to predict p...
Natural Language Processing Developing Countries Algorithms Bangladesh ROC Curve Medical Records Humans Artificial Intelligence
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Acute Coronary Syndrome Risk Prediction Based on GRACE Risk Score.

Studies in health technology and informatics Jan 1, 2017
Clinical risk prediction of acute coronary syndrome (ACS) plays a critical role for clinical decision support, treatment management and quality of care assessment in ACS patients. Admission records contain a wealth of patient information in the early...
Hospitalization Risk Assessment Prognosis Risk Factors Acute Coronary Syndrome Humans Algorithms
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Automatically Identifying Topics of Consumer Health Questions in Chinese.

Studies in health technology and informatics Jan 1, 2017
In health question answering (QA) system development, question topic identification is crucial to understand users' information needs and further facilitate answer extraction. This paper presented a machine-learning method to automatically identify t...
Machine Learning Information Storage and Retrieval Semantics Humans Consumer Health Information
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