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Evidence-Based Diagnosis: A Handbook of Clinical Prediction Rules download ebook

by Mark H. Ebell

Evidence-Based Diagnosis: A Handbook of Clinical Prediction Rules download ebook
ISBN:
0387950257
ISBN13:
978-8847005334
Author:
Mark H. Ebell
Publisher:
Springer; 2001 edition (April 6, 2001)
Language:
Pages:
398 pages
ePUB:
1405 kb
Fb2:
1552 kb
Other formats:
mbr mobi lrf azw
Category:
Medicine & Health Sciences
Subcategory:
Rating:
4.9

Evidence-Based Diagnosis. This book is the first of its kind: a collection of clinical prediction rules for use by clinicians.

Evidence-Based Diagnosis.

Containing over 150 clinical prediction rules as well as need-to-know background information on each rule . is Associate Professor in the Department of Family Practice at Michigan State University.

Containing over 150 clinical prediction rules as well as need-to-know background information on each rule to determine its validity and relevance for your practice, these rules are essential for every physician in a time of limited health care resources. Designed as an aid in diagnosis and treatment, clinical prediction rules will allow you to make more accurate diagnosis and treatment decisions while eliminating superfluous testing.

Download PDF book format. Diagnosis Statistical methods Handbooks, manuals, etc Evidence-based medicine Diagnosis Handbooks Decision Support Techniques Evidence-Based Medicine Predictive Value of Tests Prospective Studies. Choose file format of this book to download: pdf chm txt rtf doc. Download this format book. Evidence-based diagnosis : a handbook of clinical prediction rules Mark H. Ebell. Download now Evidence-based diagnosis : a handbook of clinical prediction rules Mark H. Download PDF book format. Download DOC book format.

Evidence-Based Diagnosis is succinctly and authoritatively written. It includes an excellent summary of the principles of Bayesian statistic. .Trisha Greenhalgh, ww. edscape. Show all. Table of contents (16 chapters). Using Clinical Prediction Rules in Your Practice.

Автор: Ebell Mark H. Название: Evidence-Based Diagnosis, A Handbook of Clinical Prediction . The software is designed to allow you to calculate clinical prediction rules with the ease and convenience of the computer.

The software is designed to allow you to calculate clinical prediction rules with the ease and convenience of the computer.

The 150+ clinical prediction rules as well as the background information necessary to determine its validity and relevance are essential for every physician in a time of limited health care resources.

Additional info for Evidence-Based Diagnosis: A Handbook of Clinical Prediction Rules.

Covering an entire diversity of issues from cardiovascular and pulmonary sickness to ophthalmology, hematology and pediatrics, EVIDENCE-BASED analysis is the single unmarried quantity, speedy reference designed to be used in day-by-day perform. Containing over one hundred fifty scientific prediction principles in addition to need-to-know heritage info on each one rule to figure out its validity and relevance to your perform, those principles are crucial for each health care professional in a time of restricted well-being care assets. Additional info for Evidence-Based Diagnosis: A Handbook of Clinical Prediction Rules.

It is in the tradition of Mark Ebell's recent successful Springer book and CD-ROM, Evidence-Based Diagnosis: Handbook of Clinical Prediction Rules

It is in the tradition of Mark Ebell's recent successful Springer book and CD-ROM, Evidence-Based Diagnosis: Handbook of Clinical Prediction Rules. This enables the clinician to make an automatic calculation of risk assessment based on the patient's presenting symptoms, which are fed into the program. By working with the CD-ROM, a risk calculation can be made in seconds, all within the time period of a standard office visit

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Covering a full range of topics from cardiovascular and pulmonary disease to ophthalmology, hematology and pediatrics, this is the only single volume, quick reference designed for use in daily practice. The 150+ clinical prediction rules as well as the background information necessary to determine its validity and relevance are essential for every physician in a time of limited health care resources. Designed as an aid in diagnosis and treatment, these rules allow more accurate diagnosis and treatment decisions while eliminating superfluous testing.