AIMC Topic: Heart Failure

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Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments.

Studies in health technology and informatics Jan 1, 2015
Knowledge of the left ventricular ejection fraction is critical for the optimal care of patients with heart failure. When a document contains multiple ejection fraction assessments, accurate classification of their contextual use is necessary to filt...
Humans Machine Learning Electronic Health Records Reproducibility of Results Sensitivity and Specificity Stroke Volume Diagnosis, Computer-Assisted Decision Support Systems, Clinical Natural Language Processing Heart Failure Data Mining Vocabulary, Controlled
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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...
Humans Machine Learning Electronic Health Records Female Risk Factors Aged Male Prevalence Population Surveillance Natural Language Processing Heart Failure Data Mining Survival Analysis Pattern Recognition, Automated Minnesota Death, Sudden, Cardiac
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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 Natural Language Processing Heart Failure Data Mining Telemedicine Austria Vocabulary, Controlled Cooperative Behavior
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Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics.

Studies in health technology and informatics Jan 1, 2015
Electronic Health Records (EHRs) contain a wealth of information about an individual patient's diagnosis, treatment and health outcomes. This information can be leveraged effectively to identify patients who are similar to each for disease diagnosis ...
Humans Machine Learning Electronic Health Records Clinical Decision-Making Diagnosis, Computer-Assisted Decision Support Systems, Clinical Heart Failure Data Mining Pattern Recognition, Automated Therapy, Computer-Assisted
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