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Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records.
Tomašev N, Harris N, Baur S, Mottram A, Glorot X, Rae JW, Zielinski M, Askham H, Saraiva A, Magliulo V, Meyer C, Ravuri S, Protsyuk I, Connell A, Hughes CO, Karthikesalingam A, Cornebise J, Montgomery H, Rees G, Laing C, Baker CR, Osborne TF, Reeves R, Hassabis D, King D, Suleyman M, Back T, Nielson C, Seneviratne MG, Ledsam JR, Mohamed S. Tomašev N, et al. Among authors: seneviratne mg. Nat Protoc. 2021 Jun;16(6):2765-2787. doi: 10.1038/s41596-021-00513-5. Epub 2021 May 5. Nat Protoc. 2021. PMID: 33953393
User-centred design for machine learning in health care: a case study from care management.
Seneviratne MG, Li RC, Schreier M, Lopez-Martinez D, Patel BS, Yakubovich A, Kemp JB, Loreaux E, Gamble P, El-Khoury K, Vardoulakis L, Wong D, Desai J, Chen JH, Morse KE, Downing NL, Finger LT, Chen MJ, Shah N. Seneviratne MG, et al. BMJ Health Care Inform. 2022 Oct;29(1):e100656. doi: 10.1136/bmjhci-2022-100656. BMJ Health Care Inform. 2022. PMID: 36220304 Free PMC article.
20 results