Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study” (Preprint)

S Surodina; C Lam; S Grbich; M Milne-Ives; Velthoven M van; E Meinert

doi:10.2196/preprints.28917

Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study” (Preprint)

S Surodina
, C Lam
, S Grbich
, M Milne-Ives
, Velthoven M van
, E Meinert

School of Nursing and Midwifery

Research output: Working paper / Preprint › Preprint

Original language	English
Number of pages	0
DOIs	https://doi.org/10.2196/preprints.28917
Publication status	Published - 18 Mar 2021

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10.2196/preprints.28917

1 Article

Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”
Surodina, S., Lam, C., Grbich, S., Milne-Ives, M., van, V. M. & Meinert, E., 11 Jun 2021, In: JMIRx Med. 2, 2
Research output: Contribution to journal › Article › peer-review

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