Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Martijn C Schut"'
Autor:
Rachel M Murphy, Joanna E Klopotowska, Nicolette F de Keizer, Kitty J Jager, Jan Hendrik Leopold, Dave A Dongelmans, Ameen Abu-Hanna, Martijn C Schut
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0279842 (2023)
To reduce adverse drug events (ADEs), hospitals need a system to support them in monitoring ADE occurrence routinely, rapidly, and at scale. Natural language processing (NLP), a computerized approach to analyze text data, has shown promising results
Externí odkaz:
https://doaj.org/article/e572a27fbe4447e98b0016740a193951
Autor:
Ameen Abu-Hanna, Wouter B aan de Stegge, Martijn C Schut, Jeff G van Baal, Jaap J van Netten, Sicco A Bus
Publikováno v:
BMJ Open Diabetes Research & Care, Vol 9, Iss 1 (2021)
Introduction We aimed to develop a prediction model for foot ulcer recurrence in people with diabetes using easy-to-obtain clinical variables and to validate its predictive performance in order to help risk assessment in this high-risk group.Research
Externí odkaz:
https://doaj.org/article/cbc526c8c1ed47898a537078b693f4d1
Autor:
Izak A R Yasrebi-de Kom, Dave A Dongelmans, Nicolette F de Keizer, Kitty J Jager, Martijn C Schut, Ameen Abu-Hanna, Joanna E Klopotowska
Publikováno v:
Journal of the American Medical Informatics Association. 30:978-988
Objective We conducted a systematic review to characterize and critically appraise developed prediction models based on structured electronic health record (EHR) data for adverse drug event (ADE) diagnosis and prognosis in adult hospitalized patients
Autor:
Iacopo Vagliano, Nicholas C Chesnaye, Jan Hendrik Leopold, Kitty J Jager, Ameen Abu-Hanna, Martijn C Schut
Publikováno v:
Clinical kidney journal, 15(12):sfac181, 2266-2280. Oxford University Press
Background The number of studies applying machine learning (ML) to predict acute kidney injury (AKI) has grown steadily over the past decade. We assess and critically appraise the state of the art in ML models for AKI prediction, considering performa
Autor:
Izak A R Yasrebi-de Kom, Dave A Dongelmans, Ameen Abu-Hanna, Martijn C Schut, Nicolette F de Keizer, John A Kellum, Kitty J Jager, Joanna E Klopotowska
Publikováno v:
Clinical kidney journal, 15(5), 937-941. Oxford University Press
BackgroundRecent research demonstrated substantial heterogeneity in the Kidney Disease: Improving Global Outcomes (KDIGO) acute kidney injury (AKI) diagnosis and staging criteria implementations in clinical research. Here we report an additional issu
Autor:
Noman Dormosh, Martijn C Schut, Martijn W Heymans, Otto Maarsingh, Jonathan Bouman, Nathalie van der Velde, Ameen Abu-Hanna
Publikováno v:
Age and Ageing, 52(4). Oxford University Press
Age and ageing, 52(4). Oxford University Press
Dormosh, N, Schut, M C, Heymans, M W, Maarsingh, O, Bouman, J, van der Velde, N & Abu-Hanna, A 2023, ' Predicting future falls in older people using natural language processing of general practitioners' clinical notes ', Age and Ageing, vol. 52, no. 4 . https://doi.org/10.1093/ageing/afad046
Age and ageing, 52(4). Oxford University Press
Dormosh, N, Schut, M C, Heymans, M W, Maarsingh, O, Bouman, J, van der Velde, N & Abu-Hanna, A 2023, ' Predicting future falls in older people using natural language processing of general practitioners' clinical notes ', Age and Ageing, vol. 52, no. 4 . https://doi.org/10.1093/ageing/afad046
Background Falls in older people are common and morbid. Prediction models can help identifying individuals at higher fall risk. Electronic health records (EHR) offer an opportunity to develop automated prediction tools that may help to identify fall-
Autor:
Roel P. J. Willems, Martijn C. Schut, Anna M. Kaiser, Thomas H. Groot, Ameen Abu-Hanna, Jos W. R. Twisk, Karin van Dijk, Christina M. J. E. Vandenbroucke-Grauls
Publikováno v:
Willems, R P J, Schut, M C, Kaiser, A M, Groot, T H, Abu-Hanna, A, Twisk, J W R, van Dijk, K & Vandenbroucke-Grauls, C M J E 2023, ' Association of Proton Pump Inhibitor Use with Risk of Acquiring Drug-Resistant Enterobacterales ', JAMA network open, vol. 6, no. 2, pp. E230470 . https://doi.org/10.1001/jamanetworkopen.2023.0470
JAMA network open, 6(2). American Medical Association
Willems, R P J, Schut, M C, Kaiser, A M, Groot, T H, Abu-Hanna, A, Twisk, J W R, Van Dijk, K & Vandenbroucke-Grauls, C M J E 2023, ' Association of Proton Pump Inhibitor Use with Risk of Acquiring Drug-Resistant Enterobacterales ', JAMA network open, vol. 6, no. 2, pp. E230470 . https://doi.org/10.1001/jamanetworkopen.2023.0470
JAMA network open, 6(2). American Medical Association
Willems, R P J, Schut, M C, Kaiser, A M, Groot, T H, Abu-Hanna, A, Twisk, J W R, Van Dijk, K & Vandenbroucke-Grauls, C M J E 2023, ' Association of Proton Pump Inhibitor Use with Risk of Acquiring Drug-Resistant Enterobacterales ', JAMA network open, vol. 6, no. 2, pp. E230470 . https://doi.org/10.1001/jamanetworkopen.2023.0470
ImportanceProton-pump inhibitors (PPIs) have been associated with the risk of colonization with drug-resistant bacteria; however, possible confounding by lifestyle-associated factors and disease severity casts doubt on this association, and whether t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fcd8fc3db29ae6dca43effe4de5d2a8
https://research.vumc.nl/en/publications/59e44b60-f2aa-41dc-89bf-a1d903338141
https://research.vumc.nl/en/publications/59e44b60-f2aa-41dc-89bf-a1d903338141
Autor:
Lukas De Clercq, Martijn C Schut, Patrick M M Bossuyt, Henk C P M van Weert, M Louis Handoko, Ralf E Harskamp
Publikováno v:
Family Practice, 40(1), 188-194. Oxford University Press
de Clercq, L, Schut, M C, Bossuyt, P M M, van Weert, H C P M, Handoko, M L & Harskamp, R E 2023, ' TARGET-HF : developing a model for detecting incident heart failure among symptomatic patients in general practice using routine health care data ', Family Practice, vol. 40, no. 1, pp. 188-194 . https://doi.org/10.1093/fampra/cmac069
Family practice, 40(1), 188-194. Oxford University Press
de Clercq, L, Schut, M C, Bossuyt, P M M, van Weert, H C P M, Handoko, M L & Harskamp, R E 2023, ' TARGET-HF : developing a model for detecting incident heart failure among symptomatic patients in general practice using routine health care data ', Family Practice, vol. 40, no. 1, pp. 188-194 . https://doi.org/10.1093/fampra/cmac069
Family practice, 40(1), 188-194. Oxford University Press
Background Timely diagnosis of heart failure (HF) is essential to optimize treatment opportunities that improve symptoms, quality of life, and survival. While most patients consult their general practitioner (GP) prior to HF, the early stages of HF m
Publikováno v:
Studies in health technology and informatics. 295
External validation of models for the prediction of acute kidney injury (AKI) is rare. We externally validate AKI prediction models in intensive care units. The models were developed on the Medical Information Mart for Intensive Care dataset and vali
External validation of models for the prediction of acute kidney injury (AKI) is rare. We externally validate AKI prediction models in intensive care units. The models were developed on the Medical Information Mart for Intensive Care dataset and vali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05034b08ab60a065ed7d60c8f0dc6564
https://doi.org/10.3233/shti220683
https://doi.org/10.3233/shti220683