Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement-Reference-Cited by-同舟云学术

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Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement

Published:2024-04-15 Issue: Volume: Page:1-9
ISSN:0003-1305
Container-title:The American Statistician
language:en
Short-container-title:The American Statistician

Author:

Nguyen Minh¹^ORCID,Eulalio Tiffany¹^ORCID,Marafino Ben J.¹^ORCID,Rose Christian²^ORCID,Chen Jonathan H.³^ORCID,Baiocchi Michael⁴

Affiliation:

1. Department of Biomedical Data Science, Stanford University, Stanford, CA

2. Department of Emergency Medicine, Stanford University, Stanford, CA

3. Center for Biomedical Informatics Research, Stanford University, Stanford, CA

4. Department of Epidemiology and Population Health, Stanford University, Stanford, CA

Funder

US National Library of Medicine

NIH/National Library of Medicine

AIMI-HAI

Stanford Clinical Excellence Research Center

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00031305.2024.2327535

Reference37 articles.

1. Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency

2. Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

3. A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis

4. Integrating Machine Learning with Human Knowledge

5. 50 Years of Data Science

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