Machine learning-based prediction of pulmonary embolism to reduce unnecessary computed tomography scans in gastrointestinal cancer patients: a retrospective multicenter study

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Machine learning-based prediction of pulmonary embolism to reduce unnecessary computed tomography scans in gastrointestinal cancer patients: a retrospective multicenter study ; volume:14 ; number:1 ; day:25 ; month:10 ; year:2024 ; pages:1-9 ; date:12.2024
Scientific reports ; 14, Heft 1 (25.10.2024), 1-9, 12.2024

Creator: Kim, Joo Seong
Kwon, Doyun
Kim, Kyungdo
Lee, Sang Hyub
Lee, Seung-Bo
Kim, Kwangsoo
Kim, Dongmin
Lee, Min Woo
Park, Namyoung
Choi, Jin Ho
Jang, Eun Sun
Cho, In Rae
Paik, Woo Hyun
Lee, Jun Kyu
Ryu, Ji Kon
Kim, Yong-Tae

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-024-75977-y

URN: urn:nbn:de:101:1-2501152103172.975524653580

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:24 AM CEST

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Associated

Kim, Joo Seong
Kwon, Doyun
Kim, Kyungdo
Lee, Sang Hyub
Lee, Seung-Bo
Kim, Kwangsoo
Kim, Dongmin
Lee, Min Woo
Park, Namyoung
Choi, Jin Ho
Jang, Eun Sun
Cho, In Rae
Paik, Woo Hyun
Lee, Jun Kyu
Ryu, Ji Kon
Kim, Yong-Tae
SpringerLink (Online service)

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Machine learning-based prediction of pulmonary embolism to reduce unnecessary computed tomography scans in gastrointestinal cancer patients: a retrospective multicenter study

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Other Objects (12)

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