Associative classification is a recent and rewarding technique which integrates association rule mining and classification to a model for prediction and achieves maximum accuracy. Associative classifiers are especially fit to applications where maximum accuracy is desired to a model for prediction. There are many domains such as medical where the maximum accuracy of the model is desired. Heart ...

Abstract Funding Acknowledgements Type of funding sources: None. Background Atrial fibrillation (AF) is associated with important mortality. Dedicated clinical scores to predict mortality have been developed but perform modestly and are not specific for this population. Machine learning models developing in the field AF may be able outperform existing tools prediction Purpose This study aimed t...

Sudden cardiac death (SCD) in patients with ischemic heart disease remains a leading cause of death. Prediction who is at risk based on the left ventricular ejection fraction (EF). However, majority victims SCD have normal EF, and implanted an implantable cardioverter- defibrillator their EF are never treated by device. Several parameters could allow better prediction SCD. signs ECG Periodic Re...

Abstract The survival energy model (SEM) is a recently introduced novel approach to mortality prediction, which offers cohort-wise distribution function of the time death as first hitting “survival energy” diffusion process zero. In this study, we propose SEM that can serve suitable candidate in family prediction models. We also proposed method improve an earlier work. further examine practical...

OBJECTIVES Generic triage risk assessments are widely used in the emergency department (ED), but have not been validated for prediction of short-term risk among patients with acute heart failure (HF). Our objective was to evaluate the Canadian Triage Acuity Scale (CTAS) for prediction of early death among HF patients. METHODS We included patients presenting with HF to an ED in Ontario from Ap...

OBJECTIVE To evaluate the power of measurements of left ventricular size and function for predicting long term (82 month) mortality by performing echocardiography in 97 men who had survived an acute myocardial infarction. SETTING University hospital specialising in cardiology. PARTICIPANTS 97 consecutive male patients who had survived a myocardial infarction. MAIN OUTCOME MEASURES The add...

BACKGROUND In this study we aimed to assess site heterogeneity of early, intermediate, and late mortality prediction in children with severe Plasmodium falciparum malaria in sub-Saharan Africa. METHODS Medical records of 26,036 children admitted with severe Plasmodium falciparum malaria in six hospital research centers between December 2000 to May 2005 were analyzed. Demographic, clinical and...

MicroRNAs (miRNAs) have been shown to be promising biomarkers in predicting cancer prognosis. However, inappropriate or poorly optimized processing and modeling of miRNA expression data can negatively affect prediction performance. Here, we propose a holistic solution for miRNA biomarker selection and prediction model building. This work introduces the use of a neural network cascade, a cascade...