AIMC Topic:
Data Mining

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A Baseline Patient Model to Support Testing of Medical Cyber-Physical Systems.

Studies in health technology and informatics Jan 1, 2015
Medical Cyber-Physical Systems (MCPS) are currently a trending topic of research. The main challenges are related to the integration and interoperability of connected medical devices, patient safety, physiologic closed-loop control, and the verificat...
Vital Signs Patient-Specific Modeling Natural Language Processing Models, Biological Data Mining Humans Computer Simulation Electronic Health Records
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InfoRoute: the CISMeF Context-specific Search Algorithm.

Studies in health technology and informatics Jan 1, 2015
OBJECTIVE: The aim of this paper was to present a practical InfoRoute algorithm and applications developed by CISMeF to perform a contextual information retrieval across multiple medical websites in different health domains.
Medical Record Linkage Vocabulary, Controlled Translating Algorithms Electronic Health Records Natural Language Processing Data Mining
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Assessing the Need of Discourse-Level Analysis in Identifying Evidence of Drug-Disease Relations in Scientific Literature.

Studies in health technology and informatics Jan 1, 2015
Relation extraction typically involves the extraction of relations between two or more entities occurring within a single or multiple sentences. In this study, we investigated the significance of extracting information from multiple sentences specifi...
Humans Machine Learning Natural Language Processing Semantics Periodicals as Topic Science MEDLINE Drug-Related Side Effects and Adverse Reactions Needs Assessment Data Mining
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Recruit--An Ontology Based Information Retrieval System for Clinical Trials Recruitment.

Studies in health technology and informatics Jan 1, 2015
Clinical trials are studies designed to assess whether a new intervention is better than the current alternatives. However, most of them fail to recruit participants on schedule. It is hard to use Electronic Health Record (EHR) data to find eligible ...
Biological Ontologies Clinical Trials as Topic Eligibility Determination Natural Language Processing Patient Selection Data Mining Electronic Health Records Brazil Neoplasms
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Improving Hospital-Wide Early Resource Allocation through Machine Learning.

Studies in health technology and informatics Jan 1, 2015
The objective of this paper is to evaluate the extent to which early determination of diagnosis-related groups (DRGs) can be used for better allocation of scarce hospital resources. When elective patients seek admission, the true DRG, currently deter...
Machine Learning Natural Language Processing Data Mining Quality Improvement Hospital Information Systems Diagnosis-Related Groups Needs Assessment Health Care Rationing Hospital Administration
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A Decision Fusion Framework for Treatment Recommendation Systems.

Studies in health technology and informatics Jan 1, 2015
Treatment recommendation is a nontrivial task--it requires not only domain knowledge from evidence-based medicine, but also data insights from descriptive, predictive and prescriptive analysis. A single treatment recommendation system is usually trai...
Therapy, Computer-Assisted Machine Learning Models, Organizational Decision Support Techniques Knowledge Management Decision Support Systems, Clinical Data Mining Electronic Health Records Natural Language Processing Expert Systems
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Using EHRs and Machine Learning for Heart Failure Survival Analysis.

Studies in health technology and informatics Jan 1, 2015
"Heart failure (HF) is a frequent health problem with high morbidity and mortality, increasing prevalence and escalating healthcare costs" [1]. By calculating a HF survival risk score based on patient-specific characteristics from Electronic Health R...
Survival Analysis Pattern Recognition, Automated Minnesota Natural Language Processing Heart Failure Data Mining Death, Sudden, Cardiac Female Risk Factors Humans Aged Machine Learning Male Electronic Health Records Prevalence Population Surveillance
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Fast Model Adaptation for Automated Section Classification in Electronic Medical Records.

Studies in health technology and informatics Jan 1, 2015
Medical information extraction is the automatic extraction of structured information from electronic medical records, where such information can be used for improving healthcare processes and medical decision making. In this paper, we study one impor...
United States Natural Language Processing Data Mining Pattern Recognition, Automated Machine Learning Electronic Health Records Vocabulary, Controlled Models, Organizational
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Automatic Detection of Skin and Subcutaneous Tissue Infections from Primary Care Electronic Medical Records.

Studies in health technology and informatics Jan 1, 2015
INTRODUCTION: Skin and subcutaneous tissue infections (SSTI) are common conditions that cause avoidable hospitalisation in New Zealand. As part of a program to improve the management of SSTI in primary care, electronic medical records (EMR) of four A...
Vocabulary, Controlled Subcutaneous Tissue Skin Diseases, Bacterial Sensitivity and Specificity Diagnosis, Computer-Assisted Machine Learning Natural Language Processing Primary Health Care Electronic Health Records New Zealand Data Mining Humans Reproducibility of Results
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Textual analysis of collaboration notes of the telemedical heart failure network HerzMobil Tirol.

Studies in health technology and informatics Jan 1, 2015
UNLABELLED: Management of heart failure is usually multidisciplinary and collaboration between stakeholders in a dedicated HI network like the HerzMobil Tirol can be supported by a mHealth-based telemedicine approach. The aim is to gain insights thro...
Humans Software Electronic Health Records Telemedicine Austria Natural Language Processing Vocabulary, Controlled Heart Failure Cooperative Behavior Data Mining
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