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”

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

doi:10.2196/28917

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”

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

School of Nursing and Midwifery

Research output: Contribution to journal › Article › peer-review

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Abstract

Original language	English
Number of pages	0
Journal	JMIRx Med
Volume	2
Issue number	2
Early online date	11 Jun 2021
DOIs	https://doi.org/10.2196/28917
Publication status	Published - 11 Jun 2021

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10.2196/28917

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title = "Authors{\textquoteright} 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”",

author = "S Surodina and C Lam and S Grbich and M Milne-Ives and van, \{Velthoven M\} and E Meinert",

year = "2021",

month = jun,

day = "11",

doi = "10.2196/28917",

language = "English",

volume = "2",

journal = "JMIRx Med",

issn = "2563-6316",

number = "2",

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TY - JOUR

T1 - 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”

AU - Surodina, S

AU - Lam, C

AU - Grbich, S

AU - Milne-Ives, M

AU - van, Velthoven M

AU - Meinert, E

PY - 2021/6/11

Y1 - 2021/6/11

UR - https://pearl.plymouth.ac.uk/nm-research/413/

U2 - 10.2196/28917

DO - 10.2196/28917

M3 - Article

SN - 2563-6316

VL - 2

JO - JMIRx Med

JF - JMIRx Med

IS - 2

ER -

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”

Abstract

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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)

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