Computer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data

Abstract Tuberculous meningitis (TBM) is the most lethal form of tuberculosis. Clinical features, such as coma, can predict death, but they are insufficient for the accurate prognosis of other outcomes, especially when impacted by co-morbidities such as HIV infection. Brain magnetic resonance imagin...

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Bibliografiska uppgifter

Huvudupphov:	Liane S. Canas, Trinh H. K. Dong, Daniel Beasley, Joseph Donovan, Jon O. Cleary, Richard Brown, Nguyen Thuy Thuong Thuong, Phu Hoan Nguyen, Ha Thi Nguyen, Reza Razavi, Sebastien Ourselin, Guy E. Thwaites, Marc Modat, the Vietnam ICU Translational Applications Laboratory (VITAL) Investigators
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Nature Portfolio 2024-07-01
Serie:	Scientific Reports
Ämnen:	Tuberculous meningitis Prognosis Machine learning Long short-term memory network DenseNet MRI imaging
Länkar:	https://doi.org/10.1038/s41598-024-68308-8
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