Advances in Biomedical Informatics

Advances in Biomedical Informatics: An Introduction.- Digital Health Research Methods and Tools.- Machine Learning for Structured Clinical Data.- Defining and Learning Interactive Causes.- Bayesian Network Modeling for Specific Health Checkups on Metabolic Syndrome.- Unsupervised Detection and Analysis of Changes in Everyday Physical Activity Data.- Machine Learning Applied to Optometry Data.- Intelligent Decision Support Systems in Automated Medical Diagnosis.- On the Automation of Medical Knowledge and Medical Decision Support Systems.- Vital Signs Telemonitoring by using Smart Body Area Networks, Mobile Devices and Advanced Signal Processing.- Preprocessing in High Dimensional Datasets.- Analysis of Questionnaire Survey on Psychic Characteristics in the Elderly Using Quantification Theory II.