Big data in otolaryngology /
| Other Authors: | |
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| Format: | eBook |
| Language: | English |
| Published: |
St. Louis, Missouri :
Elsevier,
[2024]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book. |
Table of Contents:
- Big data : science fiction or clinically relevant?
- Large administrative datasets : lessons and limitations
- Sources of high-dimensional data : the electronic health record, health systems, and insurance and payor data
- Best practices when interpreting big data studies : considerations and red flags
- Current big data approaches to clinical questions in otolaryngology
- Bias in big data : historically underrepresented groups and implications
- Artificial intelligence in otolaryngology
- The patient perspective on big data and its use in clinical care.