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An introduction to healthcare informatics = building data-driven tools /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
An introduction to healthcare informatics/ Peter Mccaffrey, John Monahan.
Reminder of title:
building data-driven tools /
Author:
McCaffrey, Peter,
Published:
Amsterdam :Academic Press, : 2020.,
Description:
1 online resource.
Notes:
Includes index.
Subject:
Medical informatics - Technological innovations. -
Online resource:
https://www.sciencedirect.com/science/book/9780128149157
ISBN:
9780128149164 (electronic bk.)
An introduction to healthcare informatics = building data-driven tools /
McCaffrey, Peter,
An introduction to healthcare informatics
building data-driven tools /[electronic resource] :Peter Mccaffrey, John Monahan. - Amsterdam :Academic Press,2020. - 1 online resource.
Includes index.
Section 1: Storing and Accessing Data 1. The Healthcare IT Landscape 2. Relational Databases 3. SQL 4. Example Project 1: Querying Data with SQL 5. Non-Relational Databases 6. M/MUMPS Section 2: Understanding Healthcare Data 7. How to Approach Healthcare Data Questions 8. Clinical and Administrative Workflows: Encounters, Laboratory Testing, Clinical Notes, and Billing 9. HL-7 and FHIR, and Clinical Document Architecture 10. Ontologies, Terminology Mappings and Code Sets Section 3: Analyzing Data 11. A Selective Introduction to Python and Key Concepts 12. Packages, Interactive Computing, and Analytical Documents 13. Assessing Data Quality, Attributes, and Structure 14. Introduction to Machine Learning: Regression, Classification, and Important Concepts 15. Introduction to Machine Learning: Support Vector Machines, Tree-Based Models, Clustering, and Explainability 16. Computational Phenotyping, and Clinical Natural Language Processing 17. Example Project 2: Assessing and Modeling Data 18. Introduction to Deep Learning and Artificial Intelligence Section 4: Designing Data Applications 19. Analysis Best Practices 20. Overview of Big Data Tools: Hadoop, Spark and Kafka 21. Cloud Technologies.
ISBN: 9780128149164 (electronic bk.)
Nat. Bib. No.: GBB9J7179bnbSubjects--Topical Terms:
1403966
Medical informatics
--Technological innovations.Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: R858
Dewey Class. No.: 610.285
An introduction to healthcare informatics = building data-driven tools /
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Section 1: Storing and Accessing Data 1. The Healthcare IT Landscape 2. Relational Databases 3. SQL 4. Example Project 1: Querying Data with SQL 5. Non-Relational Databases 6. M/MUMPS Section 2: Understanding Healthcare Data 7. How to Approach Healthcare Data Questions 8. Clinical and Administrative Workflows: Encounters, Laboratory Testing, Clinical Notes, and Billing 9. HL-7 and FHIR, and Clinical Document Architecture 10. Ontologies, Terminology Mappings and Code Sets Section 3: Analyzing Data 11. A Selective Introduction to Python and Key Concepts 12. Packages, Interactive Computing, and Analytical Documents 13. Assessing Data Quality, Attributes, and Structure 14. Introduction to Machine Learning: Regression, Classification, and Important Concepts 15. Introduction to Machine Learning: Support Vector Machines, Tree-Based Models, Clustering, and Explainability 16. Computational Phenotyping, and Clinical Natural Language Processing 17. Example Project 2: Assessing and Modeling Data 18. Introduction to Deep Learning and Artificial Intelligence Section 4: Designing Data Applications 19. Analysis Best Practices 20. Overview of Big Data Tools: Hadoop, Spark and Kafka 21. Cloud Technologies.
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https://www.sciencedirect.com/science/book/9780128149157
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