Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Charlotte Vibeke, Ringsted"'
Autor:
Ellen Christine Leth Løkkegaard, Martin G Tolsgaard, Betina Ristorp Andersen, Ida Ammitzbøll, Jesper Hinrich, Sune Lehmann, Charlotte Vibeke Ringsted
Publikováno v:
BMJ Open, Vol 12, Iss 3 (2022)
Objectives Emergency caesarean sections (ECS) are time-sensitive procedures. Multiple factors may affect team efficiency but their relative importance remains unknown. This study aimed to identify the most important predictors contributing to quality
Externí odkaz:
https://doaj.org/article/62d4553905d047f38e619ae248a2c265
Autor:
Betina Ristorp Andersen, Ida Ammitzbøll, Jesper Hinrich, Sune Lehmann, Charlotte Vibeke Ringsted, Ellen Christine Leth Løkkegaard, Martin G Tolsgaard
Publikováno v:
Andersen, B R, Ammitzboll, I, Hinrich, J, Lehmann, S, Ringsted, C V, Lokkegaard, E C L & Tolsgaard, M G 2022, ' Using machine learning to identify quality-of-care predictors for emergency caesarean sections : a retrospective cohort study ', BMJ Open, vol. 12, no. 3, 049046 . https://doi.org/10.1136/bmjopen-2021-049046
Andersen, B R, Ammitzbøll, I, Hinrich, J, Lehmann, S, Ringsted, C V, Løkkegaard, E C L & Tolsgaard, M G 2022, ' Using machine learning to identify quality-of-care predictors for emergency caesarean sections : A retrospective cohort study ', BMJ Open, vol. 12, no. 3, e049046 . https://doi.org/10.1136/bmjopen-2021-049046
Andersen, B R, Ammitzbøll, I, Hinrich, J, Lehmann, S, Ringsted, C V, Løkkegaard, E C L & Tolsgaard, M G 2022, ' Using machine learning to identify quality-of-care predictors for emergency caesarean sections : a retrospective cohort study ', BMJ Open, vol. 12, no. 3, e049046 . https://doi.org/10.1136/bmjopen-2021-049046
Andersen, B R, Ammitzbøll, I, Hinrich, J, Lehmann, S, Ringsted, C V, Løkkegaard, E C L & Tolsgaard, M G 2022, ' Using machine learning to identify quality-of-care predictors for emergency caesarean sections : A retrospective cohort study ', BMJ Open, vol. 12, no. 3, e049046 . https://doi.org/10.1136/bmjopen-2021-049046
Andersen, B R, Ammitzbøll, I, Hinrich, J, Lehmann, S, Ringsted, C V, Løkkegaard, E C L & Tolsgaard, M G 2022, ' Using machine learning to identify quality-of-care predictors for emergency caesarean sections : a retrospective cohort study ', BMJ Open, vol. 12, no. 3, e049046 . https://doi.org/10.1136/bmjopen-2021-049046
ObjectivesEmergency caesarean sections (ECS) are time-sensitive procedures. Multiple factors may affect team efficiency but their relative importance remains unknown. This study aimed to identify the most important predictors contributing to quality
Publikováno v:
Ugeskrift for laeger. 170(44)
Feedback has been identified as an essential component of motor learning. However, feedback principles derived from motor learning theories cannot uncritically be applied to clinical skills training because this knowledge is based primarily on the st
Autor:
Charlotte Vibeke, Ringsted
Publikováno v:
Ugeskrift for laeger. 170(44)
Research in medical education is a relatively new discipline. Over the past 30 years, the discipline has experienced a tremendous growth, which is reflected in an increase in the number of publications in both medical education journals and medical s
Publikováno v:
Ugeskrift for laeger. 166(21)
Publikováno v:
Life sciences. 43(9)
Behavioural response to intestinal distension was studied in 12 female New Zealand albino rabbits under various conditions. On increasing intraluminal pressures, the rabbits elicited uniform behavioural responses within discrete pressure ranges, nota