Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?-Reference-Cited by-同舟云学术

Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?

Published:2019-12-13 Issue:3 Volume:43 Page:295-296
ISSN:0114-5916
Container-title:Drug Safety
language:en
Short-container-title:Drug Saf

Author:

Ménard Timothé^ORCID,Koneswarakantha Björn,Rolo Donato,Barmaz Yves,Popko Leszek,Bowling Rich

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Pharmacology,Toxicology

Link

http://link.springer.com/content/pdf/10.1007/s40264-019-00894-3.pdf

Reference6 articles.

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3. International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use. E26(R2) Guideline for Good Clinical Practices. 2016. https://database.ich.org/sites/default/files/E6_R2_Addendum.pdf. Accessed 15 Nov 2019.

4. Fildes R, Makridakis S. Forecasting and loss functions. Int J Forecast. 1988;4(4):545–50.

5. Makridakis S. Accuracy measures: theoretical and practical concerns. Int J Forecast. 1993;9(4):527–9.

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