Facilitating the Development of Deep Learning Models with Visual Analytics for Electronic Health Records
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- Nenad Tomašev & Xavier Glorot & Jack W. Rae & Michal Zielinski & Harry Askham & Andre Saraiva & Anne Mottram & Clemens Meyer & Suman Ravuri & Ivan Protsyuk & Alistair Connell & Cían O. Hughes & Alan K, 2019. "A clinically applicable approach to continuous prediction of future acute kidney injury," Nature, Nature, vol. 572(7767), pages 116-119, August.
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- Ying-Jen Chang & Kuo-Chuan Hung & Li-Kai Wang & Chia-Hung Yu & Chao-Kun Chen & Hung-Tze Tay & Jhi-Joung Wang & Chung-Feng Liu, 2021. "A Real-Time Artificial Intelligence-Assisted System to Predict Weaning from Ventilator Immediately after Lung Resection Surgery," IJERPH, MDPI, vol. 18(5), pages 1-14, March.
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electronic health records; visual analytics; deep learning models;All these keywords.
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