Clinical Applications of Artificial Intelligence in Real-World Data
by
 
Asselbergs, Folkert W. editor.

Title
Clinical Applications of Artificial Intelligence in Real-World Data

Author
Asselbergs, Folkert W. editor.

ISBN
9783031366789

Edition
1st ed. 2023.

Physical Description
VI, 285 p. 80 illus., 58 illus. in color. online resource.

Contents
Part 1: Data Processing, Storage, Regulations -- Biomedical Big Data: Opportunities and Challenges -- Quality Control, Data Cleaning, Imputation -- Data Security And Privacy Issues -- Data Standards and Terminology -- Biomedical Ontologies -- Graph Databases as Future Of Data Storage -- Data Integration, Harmonization -- Natural Language Processing And Text Mining- Turning Unstructured Data Into Structured -- Part 2: Analytics -- Statistical Analysis Statistical Analysis - Causality, Mendelian Randomization -- Statistical Analysis - Meta-Analysis/Reproducibility -- Machine Learning - Basic Concepts -- Machine Learning - Basic Supervised Methods -- Machine Learning - Basic Unsupervised Methods -- Machine Learning - Evaluation -- Machine Learning - Representation Learning/Feature Selection/Engineering -- Machine Learning - Interpretation -- Deep Learning - Prediction -- Deep Learning - Autoencoders -- Artificial Intelligence -- Machine Learning In Practice - Clinical Decision Support, Risk Prediction, Diagnosis -- Machine Learning In Practice - Evaluation Clinical Value, Guidelines -- Challenges Of Machine Learning and AI.

Added Author
Asselbergs, Folkert W.
 
Denaxas, Spiros.
 
Oberski, Daniel L.
 
Moore, Jason H.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-031-36678-9


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book522026-1001XX(522026.1)Elektronik Kütüphane