Book Details

NoIMG

Secondary Analysis of Electronic Health Records

Publication year: 2016

ISBN: 978-3-319-43742-2

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This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence.


Subject: Medicine, analysis of waveform data, computer science and artificial intelligence, data extraction and preprocessing, data mining, decision and cost effectiveness analysis, diagnostic and therap, electronic health records, intensive care and emergency medicine, learning healthcare system, machine learning, medical internet research, objectives of secondary analysis, pharmacovigilance, predictive modeling, review of clinical databse, secondary analysis, shared decision making with patience, signal processing, validation and sensitivity, Health Informatics, Ethics, Data Mining and Knowledge Discovery, Statistics for Life Sciences, Medicine, Health Sciences