Secondary Analysis of Electronic Health Records
-15%
portes grátis
Secondary Analysis of Electronic Health Records
MIT Critical Data
Springer International Publishing AG
09/2016
427
Dura
Inglês
9783319437408
15 a 20 dias
1038
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
analysis of waveform data;computer science and artificial intelligence;data extraction and preprocessing;data mining;decision and cost effectiveness analysis;diagnostic and therap;electronic health records;intensive care and emergency medicine;learning healthcare system;machine learning;medical internet research;objectives of secondary analysis;pharmacovigilance;predictive modeling;review of clinical databse;secondary analysis;shared decision making with patience;signal processing;validation and sensitivity
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
analysis of waveform data;computer science and artificial intelligence;data extraction and preprocessing;data mining;decision and cost effectiveness analysis;diagnostic and therap;electronic health records;intensive care and emergency medicine;learning healthcare system;machine learning;medical internet research;objectives of secondary analysis;pharmacovigilance;predictive modeling;review of clinical databse;secondary analysis;shared decision making with patience;signal processing;validation and sensitivity
