Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients

Autor: Koen Welvaars, Michel P. J. van den Bekerom, Job N. Doornberg, Ernst P. van Haarst, OLVG Urology Consortium

Publikováno v: BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-13 (2023)

Abstract Background Unplanned hospital readmissions are serious medical adverse events, stressful to patients, and expensive for hospitals. This study aims to develop a probability calculator to predict unplanned readmissions (PURE) within 30-days af

Externí odkaz: https://doaj.org/article/09e0da62f52547b499261858943d5ca7

Biomodulating healing after arthroscopic rotator cuff repair: the protocol of a randomised proof of concept trial (BIOHACK)

Autor: Michel P J van den Bekerom, Laurent Lafosse, Thibault Lafosse, Geert Alexander Buijze, Laurens Jan Houterman Allaart, James Lech, Arno Alexander Macken, Agathe Kling

Publikováno v: BMJ Open, Vol 13, Iss 8 (2023)

Purpose/introduction Over the last decades, there has been increasing interest in biological stimulation or bioaugmentation after rotator cuff repair. So far, there is no consensus on the appropriate composition of biologicals or which patients would

Externí odkaz: https://doaj.org/article/d5b86ea48ec046b3bf2b525a567fed98

Development and training of a machine learning algorithm to identify patients at risk for recurrence following an arthroscopic Bankart repair (CLEARER): protocol for a retrospective, multicentre, cohort study

Autor: S Nakagawa, L Rossi, Michel P J van den Bekerom, H Nakamura, A Lin, M Gotoh, Y V Kleinlugtenbelt, M Loppini, Job N Doornberg, P MacDonald, Laurent Lafosse, A Stone, Sanne H van Spanning, Lukas P E Verweij, Laurens J H Allaart, Laurent A M Hendrickx, George S Athwal, Thibault Lafosse, Geert Alexander Buijze, T Flinkillä, B R Waterman, B Owens, I Pasqualini, M Scheibel, M Minkus, J S Shaha, M A Ruiz Ibán, R T Li, J M Woodmass, J Phadnis, C Hatrick, T P van Iersel

Publikováno v: BMJ Open, Vol 12, Iss 9 (2022)

Introduction Shoulder instability is a common injury, with a reported incidence of 23.9 per 100 000 person-years. There is still an ongoing debate on the most effective treatment strategy. Non-operative treatment has recurrence rates of up to 60%, wh

Externí odkaz: https://doaj.org/article/f62e1212f80c4592acd7a1e3a445530c

Effectiveness of standardized ultrasound guided percutaneous treatment of lateral epicondylitis with application of autologous blood, dextrose or perforation only on pain: a study protocol for a multi-center, blinded, randomized controlled trial with a 1 year follow up

Autor: Renée Keijsers, P. Paul F. M. Kuijer, Koen L. M. Koenraadt, Michel P. J. van den Bekerom, Carina L. E. Gerritsma-Bleeker, Annechien Beumer, Monique H. W. Frings-Dresen, Denise Eygendaal

Publikováno v: BMC Musculoskeletal Disorders, Vol 20, Iss 1, Pp 1-9 (2019)

Abstract Background In the treatment of Lateral Epicondylitis (LE) no single intervention concerning injection therapies has been proven to be the most effective with regard to pain reduction. In this trial 3 injection therapies (perforation with app

Externí odkaz: https://doaj.org/article/845469c7cdfd411ab74198f9b222b070

Developing a machine learning algorithm to predict probability of retear and functional outcomes in patients undergoing rotator cuff repair surgery

Autor: Laurens J H Allaart, Sanne van Spanning, Laurent Lafosse, Thibault Lafosse, Alexandre Ladermann, George S Athwal, Laurent A M Hendrickx, Job N Doornberg, Michel P J van den Bekerom, Geert Alexander Buijze

Publikováno v: Allaart, L J H, Spanning, S V, Lafosse, L, Lafosse, T, Ladermann, A, Athwal, G S, Hendrickx, L A M, Doornberg, J N, Van Den Bekerom, M P J & Buijze, G A 2023, ' Developing a machine learning algorithm to predict probability of retear and functional outcomes in patients undergoing rotator cuff repair surgery : Protocol for a retrospective, multicentre study ', BMJ Open, vol. 13, no. 2, e063673, pp. 1-5 . https://doi.org/10.1136/bmjopen-2022-063673
BMJ open, 13(2):e063673. BMJ Publishing Group
BMJ Open, 13(2):e063673. BMJ PUBLISHING GROUP
BMJ Open, 13(2):e063673, 1-5. BMJ Publishing Group

IntroductionThe effectiveness of rotator cuff tear repair surgery is influenced by multiple patient-related, pathology-centred and technical factors, which is thought to contribute to the reported retear rates between 17% and 94%. Adequate patient se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e17ac1811e1fc5126f5f3dd5fb852418
https://research.vu.nl/en/publications/f3a1198e-6cf4-43b6-a5a7-a131c32f9c4c