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Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness. [electronic resource] by
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- Mateen, Bilal A
- Bohner, Gergo
- Király, Franz J
- Ghani, Rayid
- Jonsson, Pall
- Cumbers, Sarah
- Jonas, Adrian
- McAllister, Katherine S L
- Myles, Puja
- Granger, David
- Birse, Mark
- Branson, Richard
- Moons, Karel G M
- Collins, Gary S
- Ioannidis, John P A
- Holmes, Chris
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Producer: 20200325
In:
BMJ (Clinical research ed.) vol. 368
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Prediction of fatal adverse prognosis in patients with fever-related diseases based on machine learning: A retrospective study. [electronic resource] by
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- Wu, Hui-Tao
- Che, He-Bin
- Song, Ya-Nan
- Zhao, Yu-Zhuo
- Li, Kai-Yuan
- Xiao, Hong-Ju
- Zhai, Yong-Zhi
- Liu, Xin
- Lu, Hong-Xi
- Li, Tan-Shi
Producer: 20201214
In:
Chinese medical journal vol. 133
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6254.
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Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success. [electronic resource] by
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- Kim, Michael
- Dodson, Vincent
- Sursal, Tolga
- Bowers, Christian
- Cole, Chad
- Scurlock, Corey
- Becker, Christian
- Gandhi, Chirag
- Mayer, Stephan A
Producer: 20200601
In:
Current neurology and neuroscience reports vol. 19
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