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Ben van Calster

Showing results (121-130 of 224) with videos related to

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Psycho-Oncology|June 2, 2016
Intellectual development of childhood ALL patients: a multicenter longitudinal studyCharlotte Sleurs, Jurgen Lemiere, Trui Vercruysse, et al.
Gynecologic Oncology|January 31, 2013
A comparison between an ultrasound based prediction model (LR2) and the risk of ovarian malignancy algorithm (ROMA) to assess the risk of malignancy in women with an adnexal massJeroen Kaijser, Toon Van Gorp, Kirsten Van Hoorde, et al.
Diagnostic and Prognostic Research|July 21, 2025
A comparison of modeling approaches for static and dynamic prediction of central-line bloodstream infections using electronic health records (part 1): regression modelsShan Gao, Elena Albu, Hein Putter, et al.
Acta Obstetricia Et Gynecologica Scandinavica|February 11, 2011
Ectopic pregnancy: using the hCG ratio to select women for expectant or medical managementEmma Kirk, Ben Van Calster, George Condous, et al.
Advances in Medical Education and Practice|August 12, 2016
An evidence-based laparoscopic simulation curriculum shortens the clinical learning curve and reduces surgical adverse eventsGunter De Win, Siska Van Bruwaene, Jyotsna Kulkarni, et al.
BMC Medical Research Methodology|November 24, 2023
Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithmAshleigh Ledger, Jolien Ceusters, Lil Valentin, et al.
Prenatal Diagnosis|October 24, 2013
A pictorial essay on fetal rabbit anatomy using micro-ultrasound and magnetic resonance imagingPhilip DeKoninck, Masayuki Endo, Inga Sandaite, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society|May 24, 2012
Pelvic exenterations for gynecological malignancies: a study of 36 casesManpreet Kaur, Steven Joniau, André D'Hoore, et al.
Journal of Clinical Epidemiology|January 15, 2025
Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic reviewBiruk Tsegaye, Kym I E Snell, Lucinda Archer, et al.
Transfusion|December 27, 2024
Prognostic models for prediction of perioperative allogeneic red blood cell transfusion in adult cardiac surgery: A systematic review and meta-analysisRaf Van den Eynde, Annemarie Vrancken, Ruben Foubert, et al.
Pageof 23

Showing results (121-130 of 224) with videos related to

Sort By:
Pageof 23
Psycho-Oncology|June 2, 2016
Intellectual development of childhood ALL patients: a multicenter longitudinal studyCharlotte Sleurs, Jurgen Lemiere, Trui Vercruysse, et al.
Gynecologic Oncology|January 31, 2013
A comparison between an ultrasound based prediction model (LR2) and the risk of ovarian malignancy algorithm (ROMA) to assess the risk of malignancy in women with an adnexal massJeroen Kaijser, Toon Van Gorp, Kirsten Van Hoorde, et al.
Diagnostic and Prognostic Research|July 21, 2025
A comparison of modeling approaches for static and dynamic prediction of central-line bloodstream infections using electronic health records (part 1): regression modelsShan Gao, Elena Albu, Hein Putter, et al.
Acta Obstetricia Et Gynecologica Scandinavica|February 11, 2011
Ectopic pregnancy: using the hCG ratio to select women for expectant or medical managementEmma Kirk, Ben Van Calster, George Condous, et al.
Advances in Medical Education and Practice|August 12, 2016
An evidence-based laparoscopic simulation curriculum shortens the clinical learning curve and reduces surgical adverse eventsGunter De Win, Siska Van Bruwaene, Jyotsna Kulkarni, et al.
BMC Medical Research Methodology|November 24, 2023
Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithmAshleigh Ledger, Jolien Ceusters, Lil Valentin, et al.
Prenatal Diagnosis|October 24, 2013
A pictorial essay on fetal rabbit anatomy using micro-ultrasound and magnetic resonance imagingPhilip DeKoninck, Masayuki Endo, Inga Sandaite, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society|May 24, 2012
Pelvic exenterations for gynecological malignancies: a study of 36 casesManpreet Kaur, Steven Joniau, André D'Hoore, et al.
Journal of Clinical Epidemiology|January 15, 2025
Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic reviewBiruk Tsegaye, Kym I E Snell, Lucinda Archer, et al.
Transfusion|December 27, 2024
Prognostic models for prediction of perioperative allogeneic red blood cell transfusion in adult cardiac surgery: A systematic review and meta-analysisRaf Van den Eynde, Annemarie Vrancken, Ruben Foubert, et al.
Pageof 23