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A machine learning PROGRAM to identify COVID-19 and other diseases from hematology data.

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Title: A machine learning PROGRAM to identify COVID-19 and other diseases from hematology data.
Authors: Gladding PA; Department of Cardiology, Waitematā District Health Board, Auckland, New Zealand., Ayar Z; Clinical Information Services, Waitematā District Health Board, Auckland, New Zealand., Smith K; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand., Patel P; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand., Pearce J; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand., Puwakdandawa S; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand., Tarrant D; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand., Atkinson J; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand., McChlery E; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand., Hanna M; Department of Hematology, Waitematā District Health Board, Auckland, New Zealand., Gow N; Department of Infectious diseases, Waitematā District Health Board, Auckland, New Zealand., Bhally H; Department of Infectious diseases, Waitematā District Health Board, Auckland, New Zealand., Read K; Department of Infectious diseases, Waitematā District Health Board, Auckland, New Zealand., Jayathissa P; Institute for Innovation & Improvement (i3), Waitematā District Health Board, Auckland, New Zealand., Wallace J; Institute for Innovation & Improvement (i3), Waitematā District Health Board, Auckland, New Zealand., Norton S; Nanix Ltd, Dunedin, New Zealand., Kasabov N; Knowledge Engineering & Discovery Research Institute (KEDRI), Auckland University of Technology, Auckland, New Zealand., Calude CS; School of Computer Science, University of Auckland, Auckland, New Zealand., Steel D; Sysmex New Zealand Ltd, Auckland, New Zealand., Mckenzie C; Sysmex New Zealand Ltd, Auckland, New Zealand.
Source: Future science OA [Future Sci OA] 2021 Jun 12; Vol. 7 (7), pp. FSO733. Date of Electronic Publication: 2021 Jun 12 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: Taylor & Francis Country of Publication: England NLM ID: 101665030 Publication Model: eCollection Cited Medium: Print ISSN: 2056-5623 (Print) Linking ISSN: 20565623 NLM ISO Abbreviation: Future Sci OA Subsets: PubMed not MEDLINE
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  Data: A machine learning PROGRAM to identify COVID-19 and other diseases from hematology data.
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  Data: <searchLink fieldCode="AU" term="%22Gladding+PA%22">Gladding PA</searchLink>; Department of Cardiology, Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Ayar+Z%22">Ayar Z</searchLink>; Clinical Information Services, Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Smith+K%22">Smith K</searchLink>; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Patel+P%22">Patel P</searchLink>; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Pearce+J%22">Pearce J</searchLink>; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Puwakdandawa+S%22">Puwakdandawa S</searchLink>; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Tarrant+D%22">Tarrant D</searchLink>; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Atkinson+J%22">Atkinson J</searchLink>; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22McChlery+E%22">McChlery E</searchLink>; Clinical laboratory, Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Hanna+M%22">Hanna M</searchLink>; Department of Hematology, Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Gow+N%22">Gow N</searchLink>; Department of Infectious diseases, Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Bhally+H%22">Bhally H</searchLink>; Department of Infectious diseases, Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Read+K%22">Read K</searchLink>; Department of Infectious diseases, Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Jayathissa+P%22">Jayathissa P</searchLink>; Institute for Innovation & Improvement (i3), Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Wallace+J%22">Wallace J</searchLink>; Institute for Innovation & Improvement (i3), Waitematā District Health Board, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Norton+S%22">Norton S</searchLink>; Nanix Ltd, Dunedin, New Zealand.<br /><searchLink fieldCode="AU" term="%22Kasabov+N%22">Kasabov N</searchLink>; Knowledge Engineering & Discovery Research Institute (KEDRI), Auckland University of Technology, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Calude+CS%22">Calude CS</searchLink>; School of Computer Science, University of Auckland, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Steel+D%22">Steel D</searchLink>; Sysmex New Zealand Ltd, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Mckenzie+C%22">Mckenzie C</searchLink>; Sysmex New Zealand Ltd, Auckland, New Zealand.
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