Secondary Analysis of Electronic Health Records (Record no. 1526)

000 -LEADER
fixed length control field 04966nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-319-43742-2
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20210511122441.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160909s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319437422
-- 978-3-319-43742-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-319-43742-2
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number R858-859.7
072 #7 - SUBJECT CATEGORY CODE
Subject category code MBG
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MED000000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code MBG
Source thema
072 #7 - SUBJECT CATEGORY CODE
Subject category code UB
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 502.85
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name MIT Critical Data.
Relator term author.
Relationship aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 7412
245 10 - TITLE STATEMENT
Title Secondary Analysis of Electronic Health Records
Medium [electronic resource] /
Statement of responsibility, etc. by MIT Critical Data.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2016.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2016.
300 ## - PHYSICAL DESCRIPTION
Extent XXI, 427 p. 108 illus., 100 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to the Book -- Objectives of secondary analysis of EHR data -- Review of clinical database -- Challenges and opportunities -- Secondary Analysis of EHR Data Cookbook -- Overview -- Step 1: Formulate research question -- Step 2: Data extraction and preprocessing -- Step 3: Exploratory Analysis -- Step 4: Data analysis -- Step 5: Validation and sensitivity analysis -- Missing Data -- Noise vs. Outliers -- Case Studies -- Introduction -- Predictive Modeling: outcome prediction (discrete) -- Predictive Modeling: dose optimization (regression) -- Pharmacovigilance (classification) -- Comparative effectiveness: propensity score analysis -- Comparative effectiveness: instrumental variable analysis -- Decision and Cost Effectiveness Analysis: Hidden Markov models and Monte Carlo simulation -- Time series analysis: Gaussian processes (ICP modelling) -- Time series analysis: Bayesian inference (Motif discovery in numerical signals) -- Time Series analysis: Optimization techniques for hyperparameter selection -- Signal processing: analysis of waveform data -- Signal processing: False alarm reduction.
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
520 ## - SUMMARY, ETC.
Summary, etc. 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. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Health informatics.
9 (RLIN) 7413
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Ethics.
9 (RLIN) 499
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
9 (RLIN) 541
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics .
9 (RLIN) 134
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Health Informatics.
Authority record control number or standard number https://scigraph.springernature.com/ontologies/product-market-codes/H28009
9 (RLIN) 7414
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Ethics.
Authority record control number or standard number https://scigraph.springernature.com/ontologies/product-market-codes/E14000
9 (RLIN) 499
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining and Knowledge Discovery.
Authority record control number or standard number https://scigraph.springernature.com/ontologies/product-market-codes/I18030
9 (RLIN) 546
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics for Life Sciences, Medicine, Health Sciences.
Authority record control number or standard number https://scigraph.springernature.com/ontologies/product-market-codes/S17030
9 (RLIN) 138
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 141
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783319437408
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783319437415
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783319828992
773 ## - HOST ITEM ENTRY
Title Springer Nature Open Access eBook
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-319-43742-2">https://doi.org/10.1007/978-3-319-43742-2</a>
912 ## -
-- ZDB-2-SME
912 ## -
-- ZDB-2-SXM
912 ## -
-- ZDB-2-SOB
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Books
-- Administrator Library

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