Secondary Analysis of Electronic Health Records

• Κύριος συγγραφέας: MIT Critical Data (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Θέματα: Medicine.; Ethics.; Health informatics.; Data mining.; Statistics.; Medicine & Public Health.; Health Informatics.; Data Mining and Knowledge Discovery.; Statistics for Life Sciences, Medicine, Health Sciences.

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...

Πίνακας περιεχομένων:

• 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.