Cases on health outcomes and clinical data mining :  studies and frameworks / 
Patricia Cerrito, editor. 
 - Hershey, PA :  Medical Information Science Reference,  c2010. 
 - xx, 443 p. :  ill. ;  28 cm. 
<br/><br/>Includes bibliographical references (p. 420-433) and index. 
<br/><br/>Introduction to data mining methodology to investigate health outcomes -- Data mining to examine the treatment of osteomyelitis -- Outcomes research in cardiovascular procedures -- Outcomes research in the treatment of asthma -- Analysis of breast cancer and surgery as treatment options -- Data mining and analysis of lung cancer -- Outcomes research in physical therapy -- Analyzing the relationship between diagnosis and the cost of diabetic patients -- An example of defining patient compliance -- Outcomes research in gastrointestinal treatment -- Outcomes research in hydrocephalus treatment -- Analyzing problems of childhood and adolescence -- Healthcare delivery in a hospital emergency department -- Utilization of the emergency department -- Physician prescribing practices -- Cost models with prominent outliers -- The relationship between sleep apnea and cognitive functioning. 
<br/><br/> "Because so much data is now becoming readily available to investigate health outcomes, it is important to examine just how statistical models are used to do this. This book studies health outcomes research using data mining techniques"--Provided by publisher. 
<br/><br/><label>ISBN: </label>9781615207237 (h/c) 
<br/><br/><label>LCCN: </label>2009053483 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Outcome assessment (Medical care)<br/>Data mining.<br/>Outcome Assessment (Health Care)<br/>Data Mining--methods.<br/>Models, Statistical.
<br/><br/><label>LC Class. No.: </label>R853.O87  / C37 2010 
<br/><br/><label>Dewey Class. No.: </label>362.1