Secondary Analysis of Electronic Health Records

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. Diagno...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखक: MIT Critical Data (लेखक)
निगमित लेखक: SpringerLink (Online service)
स्वरूप: इलेक्ट्रोनिक ई-पुस्तक
भाषा:अंग्रेज़ी
प्रकाशित: Cham : Springer International Publishing : Imprint: Springer, 2016.
विषय:
ऑनलाइन पहुंच:http://dx.doi.org/10.1007/978-3-319-43742-2
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विषय - सूची:
  • 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.