Feasibility of New Method for the Prediction of Clinical Trial Results Using Compressive Sensing of Artificial Intelligence - GOTIC Study. Issue 1 (2023)

Record Type:: Journal Article
Title:: Feasibility of New Method for the Prediction of Clinical Trial Results Using Compressive Sensing of Artificial Intelligence - GOTIC Study. Issue 1 (2023)
Main Title:: Feasibility of New Method for the Prediction of Clinical Trial Results Using Compressive Sensing of Artificial Intelligence - GOTIC Study
Authors:: Miyagi, Yasunari
Fujiwara, Keiichi
Nomura, Hisanaga
Is Part Of:: British journal of healthcare and medical research. Volume 10:Issue 1(2023)
Journal:: British journal of healthcare and medical research
Issue:: Volume 10:Issue 1(2023)
Issue Display:: Volume 10, Issue 1 (2023)
Year:: 2023
Volume:: 10
Issue:: 1
Issue Sort Value:: 2023-0010-0001-0000
Page Start:
Page End:
Publication Date:: 2023
Subjects:: Medicine -- Periodicals
Medical care -- Periodicals
610.5
Journal URLs:: https://journals.scholarpublishing.org/index.php/JBEMi/index ↗
DOI:: DOI:10.14738/jbemi.101.14061. ↗
Languages:: English
ISSNs:: 2753-7919
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library HMNTS - ELD Digital store
Ingest File:: 25523.xml