Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study

Autor: Dylan Young, Bita Houshmand, Chunyi Christie Tan, Abirami Kirubarajan, Ashna Parbhakar, Jazleen Dada, Wendy Whittle, Mara L. Sobel, Luis M. Gomez, Mario Rüdiger, Ulrich Pecks, Peter Oppelt, Joel G. Ray, Sebastian R. Hobson, John W. Snelgrove, Rohan D’Souza, Rasha Kashef, Dafna Sussman

Publikováno v: BMC Pregnancy and Childbirth, Vol 23, Iss 1, Pp 1-14 (2023)

Abstract Background Pregnant people are particularly vulnerable to SARS-CoV-2 infection and to ensuing severe illness. Predicting adverse maternal and perinatal outcomes could aid clinicians in deciding on hospital admission and early initiation of t

Externí odkaz: https://doaj.org/article/e8539607933d42049f15b0d85e76c8f6

Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study.

Autor: Young, Dylan^1,2,3 (AUTHOR), Houshmand, Bita^1,2,3 (AUTHOR), Tan, Chunyi Christie⁴ (AUTHOR), Kirubarajan, Abirami⁵ (AUTHOR), Parbhakar, Ashna⁴ (AUTHOR), Dada, Jazleen⁶ (AUTHOR), Whittle, Wendy^6,7 (AUTHOR), Sobel, Mara L.^6,7 (AUTHOR), Gomez, Luis M.⁸ (AUTHOR), Rüdiger, Mario⁹ (AUTHOR), Pecks, Ulrich¹⁰ (AUTHOR), Oppelt, Peter¹¹ (AUTHOR), Ray, Joel G.^4,12 (AUTHOR), Hobson, Sebastian R.^6,7 (AUTHOR), Snelgrove, John W.^6,7 (AUTHOR), D'Souza, Rohan^6,7,13 (AUTHOR), Kashef, Rasha^1,2,3 (AUTHOR), Sussman, Dafna^1,2,3,6 (AUTHOR) dafna.sussman@torontomu.ca

Publikováno v: BMC Pregnancy & Childbirth. 8/2/2023, Vol. 23 Issue 1, p1-14. 14p.