Combining ultrasound radiomics, complete blood count, and serum biochemical biomarkers for diagnosing intestinal disorders in cats using machine learning.

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Title: Combining ultrasound radiomics, complete blood count, and serum biochemical biomarkers for diagnosing intestinal disorders in cats using machine learning.
Authors: Basran PS; Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.; Department of Biological Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA., Shcherban N; Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA., Forman M; Cornell University Veterinary Specialists, Stamford, Connecticut, USA., Chang J; Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA., Nelissen S; Department of Biomedical Sciences, Section of Anatomic Pathology, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA., Recchia BK; Affectionately Cats Veterinary Hospital, Williston, Vermont, USA., Porter IR; Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.
Source: Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association [Vet Radiol Ultrasound] 2023 Sep; Vol. 64 (5), pp. 890-903. Date of Electronic Publication: 2023 Jul 02.
Publication Type: Journal Article; Observational Study, Veterinary
Journal Info: Publisher: Blackwell Country of Publication: England NLM ID: 9209635 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1740-8261 (Electronic) Linking ISSN: 10588183 NLM ISO Abbreviation: Vet Radiol Ultrasound Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Basran+PS%22">Basran PS</searchLink>; Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.; Department of Biological Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.<br /><searchLink fieldCode="AU" term="%22Shcherban+N%22">Shcherban N</searchLink>; Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.<br /><searchLink fieldCode="AU" term="%22Forman+M%22">Forman M</searchLink>; Cornell University Veterinary Specialists, Stamford, Connecticut, USA.<br /><searchLink fieldCode="AU" term="%22Chang+J%22">Chang J</searchLink>; Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.<br /><searchLink fieldCode="AU" term="%22Nelissen+S%22">Nelissen S</searchLink>; Department of Biomedical Sciences, Section of Anatomic Pathology, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.<br /><searchLink fieldCode="AU" term="%22Recchia+BK%22">Recchia BK</searchLink>; Affectionately Cats Veterinary Hospital, Williston, Vermont, USA.<br /><searchLink fieldCode="AU" term="%22Porter+IR%22">Porter IR</searchLink>; Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.
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  Data: <searchLink fieldCode="JN" term="%229209635%22">Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association</searchLink> [Vet Radiol Ultrasound] 2023 Sep; Vol. 64 (5), pp. 890-903. <i>Date of Electronic Publication: </i>2023 Jul 02.
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        Value: 10.1111/vru.13250
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              Text: 2023 Sep
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