Tag Archives: Support vector machine

Lecture notes on Medical Informatics

Introduction 2008 [pdf]
Modelling [pdf]Introduction (Zlatko Trajanoski) [pdf]
Introduction to SVM (Vojislav Kecman) [pdf]
Basics of Support Vector Machines (Vojislav Kecman) [pdf]
Gene Expression Clustering (Alexander Sturn) [pdf]
Neural Networks (Zlatko Trajanoski) [pdf]
PCA (Zlatko Trajanoski) [pdf]
SOM (Zlatko Trajanoski) [pdf]
Decision Trees (Zlatko Trajanoski) [pdf]
Introduction to Probability Theory (Fatima Sanchez Cabo) [pdf]
Introduction to Statistical Inference (Fatima Sanchez Cabo) [pdf]
ELGA and eHealth (Karl Pfeiffer) [pdf]

Combined document (contains all of the documents above) [pdf]

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POST-DOC IN COMPUTATIONAL NEUROSCIENCE,UNIVERSITY OF SURREY

Research Fellow Position, University of Surrey, Post Ref 7895

A Research Fellow (Post-Doc) to work on a cross-disciplinary
research project in the fields of computational neuroscience,
nature-inspired computation and machine learning on developing is required.

“General-Purpose Learning Algorithms for Spiking Neural Networks”

in the Nature-Inspired Computing and Engineering(NICE) Group within the
Computing Department of the University of Surrey.

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Atrial fibrillation detection by heart rate variability in Poincare plot

Background

Atrial fibrillation (AFib) is one of the prominent causes of stroke, and its risk increases with age. We need to detect AFib correctly as early as possible to avoid medical disaster because it is likely to proceed into a more serious form in short time. If we can make a portable AFib monitoring system, it will be helpful to many old people because we cannot predict when a patient will have a spasm of AFib.

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