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Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes

Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes: Methods for Prediction and Analysis demonstrates how;

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Decision-Making in Medicine & Health Care

; Clinical Indication and Shared Decision Making: Theoretical Considerations About Patient-Physician Relationship; Making Decisions About Managing;

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Physician Profiling

clinical outcomes-physician profiling-will not only improve patient satisfaction and increase the quality of care, it will revolutionize the health;

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Educational Improvement Through Data Mining & Analytics

how data mining and analytics work and how they can be applied within online learning systems to support education-related decision making.;

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Decision Making in Health Care

Decision making is a crucial element in the field of medicine. The physician has to determine what is wrong with the patient and recommend;

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Decision Making in Health Care

Decision making is a crucial element in the field of medicine. The physician has to determine what is wrong with the patient and recommend;

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Improving Outcomes with Clinical Decision Support

program in a hospital, health system or physician practice; and configure and launch specific CDS interventions. Two detailed case;

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Clinical Decision Support

coverage of computational approaches to clinical decision-making. Chapters discuss data integration into healthcare information systems and;

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Decision Making in Health and Medicine

-based data and subjective outcome values in making clinical and health policy decisions. The book will be of immense practical value for all;

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Investigating Neurological Disease

authorities, this book is an invaluable guide to clinical decision-making for neurologists and others involved in the management of neurological;

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Business Analytics, Volume I

decision making approach that uses statistical and quantitative analysis along with data mining, management science, and fact-based data to measure;

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Big Data, Mining, and Analytics

approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. Includes a foreword by Thomas H. Davenport;

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Big Data, Mining, and Analytics

approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. Includes a foreword by Thomas H. Davenport;

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Data Mining

This book, Data Mining: The Data Mining Guide for Beginners, Including Applications for Business, Data Mining Techniques, Concepts, and;

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Lecture Notes in Computational Intelligence and Decision Making

presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: Analysis and Modeling;

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Medical Nutrition Therapy

; assessment; clinical, nutritional, and behavioral outcomes; interventions; and appropriate follow-up for the patient.;

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Data Mining in Biomedical Imaging, Signaling, and Systems

extract hidden features from patient groups and disease states and can aid in automated decision making. Data Mining in Biomedical Imaging;

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Data Mining in Biomedical Imaging, Signaling, and Systems

extract hidden features from patient groups and disease states and can aid in automated decision making. Data Mining in Biomedical Imaging;

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Statistical Topics in Health Economics and Outcomes Research

important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and;

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Statistical Topics in Health Economics and Outcomes Research

important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and;

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Artificial Intelligence in Behavioral and Mental Health Care

decision-making and consultationDescribes AI applications for assessment and treatmentDetails AI advances in robots for clinical;

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Domain Driven Data Mining

Data mining has emerged as one of the most active areas in information and c- munication technologies(ICT). With the boomingof the global;

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Managing Data Mining Technologies in Organizations

their applications for data mining. The chapters illustrate applications of data mining and visualization for credit screening, forecasting;

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Trends and Applications in Knowledge Discovery and Data Mining

Decision Analytics for Public Health and Wellness, DMDA-Health; Biologically Inspired Data Mining Techniques, BDM; Mobile Data Management, Mining;

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Measuring Behavioral Health Outcomes

for clinicians to routinely get and use credible, precise data. They provide numerous clinical examples that illustrate how behavioral health;

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Measuring Behavioral Health Outcomes

Here is an efficient guide to measuring and graphing behavioral outcomes, and letting the results influence clinical decisions. The;

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Introduction to Computational Health Informatics

science and clinical perspectives. This book prepares computer science students for careers in computational health informatics and medical data;

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