Jason Bingham,
Matt Eckert
Elsevier Health Sciences
e druk, 2023
9780323939799
Surgical Decision Making, Evidence, and Artificial Intelligence, An Issue of Surgical Clinics
Specificaties
Gebonden, blz.
|
Engels
Elsevier Health Sciences |
e druk, 2023
ISBN13: 9780323939799
Rubricering
Onderdeel van serie
The Clinics: Surgery
Levertijd ongeveer 8 werkdagen
Samenvatting
In this issue, guest editors bring their considerable expertise to this important topic.
Provides in-depth reviews on the latest updates in the field, providing actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize
Specificaties
ISBN13:9780323939799
Taal:Engels
Bindwijze:Gebonden
Uitgever:Elsevier Health Sciences
Serie:The Clinics: Surgery
Inhoudsopgave
Big Data in Surgery<br>Categories of Evidence and Methods in Surgical Decision-Making<br>Clinical Informatics and the Electronic Medical Record<br>Modern Statistical Methods for the Surgeon Scientist: The Clash of Frequentist versus Bayesian Paradigms<br>Cognitive Bias and Dissonance in Surgical Practice: A Narrative Review<br>Generation Learning Differences in Surgery: Why They Exist, Implication, and Future Directions<br>Machine Learning and Artificial Intelligence in Surgical Research<br>Interpretation and Use of Applied/Operational Machine Learning and Artificial Intelligence in Surgery<br>Beyond the Spreadsheet: Data Management for Physicians in the Era of Big Data<br>Privacy, Data Sharing, and Other Legal Considerations<br>Impact of Digital Health upon the Surgical Patient Experience: The Patient as Consumer