z-logo
open-access-imgOpen Access
P-435 Diagnosing ectopic pregnancy using the Bayes theorem, a classic that is good as new: a retrospective cohort study
Author(s) -
Ricardo Francalacci Savaris,
Jaqueline Maissiat,
Ben W. Mol,
Kurt T. Barnhart,
Carlos A. Link
Publication year - 2022
Publication title -
human reproduction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.446
H-Index - 226
eISSN - 1460-2350
pISSN - 0268-1161
DOI - 10.1093/humrep/deac107.410
Subject(s) - ectopic pregnancy , medicine , bayes' theorem , cohort , obstetrics , pregnancy , retrospective cohort study , algorithm , gynecology , statistics , mathematics , surgery , bayesian probability , genetics , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom