Výsledky vyhledávání - "T.H.G.F. Bakkes"

Akademický článek

Evaluation of the accuracy of established patient inspiratory effort estimation methods during mechanical support ventilation

Autor: A. van Diepen, T.H.G.F. Bakkes, A.J.R. De Bie, S. Turco, R.A. Bouwman, P.H. Woerlee, M. Mischi

Publikováno v: Heliyon, Vol 9, Iss 2, Pp e13610- (2023)

There is a clinical need for monitoring inspiratory effort to prevent lung- and diaphragm injury in patients who receive supportive mechanical ventilation in an Intensive Care Unit. Different pressure-based techniques are available to estimate this i

Externí odkaz: https://doaj.org/article/79723b2a56b04d7aa6df4a0724c34084

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Akademický článek

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Prediction of unsuccessful endometrial ablation: random forest vs logistic regression

Autor: Malou E. Gelderblom, Tanja Gijsen, Liesbet Lagaert, Saskia Houterman, Benedictus C. Schoot, Kelly Yvonne Roger Stevens, T.H.G.F. Bakkes

Publikováno v: Gynecological Surgery, 18(1):18. Springer
GYNECOLOGICAL SURGERY

Background Five percent of pre-menopausal women experience abnormal uterine bleeding. Endometrial ablation (EA) is one of the treatment options for this common problem. However, this technique shows a decrease in patient satisfaction and treatment ef

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fecaf805e8fe32f57e8613f437f7662a
https://doi.org/10.1186/s10397-021-01097-4

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A machine learning method for automatic detection and classification of patient-ventilator asynchrony

Autor: F. Mojoli, R.J.H. Montree, T.H.G.F. Bakkes, Massimo Mischi, Simona Turco

Publikováno v: EMBC
42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020, 150-153
STARTPAGE=150;ENDPAGE=153;TITLE=42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society

Patients suffering from respiratory failure are often put on assisted mechanical ventilation. Patient-ventilator asynchrony (PVA) can occur during mechanical ventilation, which cause damage to the lungs and has been linked to increased mortality in t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::778b1b4cbc99bd82c87ec4d94a38ff25
https://doi.org/10.1109/embc44109.2020.9175796

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Prediction of embryo implantation by machine learning based on ultrasound strain imaging

Autor: C. Blank, F. Sammali, Benedictus C. Schoot, Y. Huang, Massimo Mischi, T.H.G.F. Bakkes, Chiara Rabotti

Publikováno v: 2019 IEEE International Ultrasonics Symposium, IUS 2019, 1141-1144
STARTPAGE=1141;ENDPAGE=1144;TITLE=2019 IEEE International Ultrasonics Symposium, IUS 2019

Because of the trend to postpone childbirth, the rate of couples dealing with infertility is rapidly increasing and approaching 20%. In-vitro fertilization (IVF) represents the only reproduction option in Europe for 2.5 million couples. However, its

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b78c444c4cb58052cb971b95cfe4f539
https://doi.org/10.1109/ultsym.2019.8926228

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2813 Clinical Prediction of Unsuccessful Endometrial Ablation: Random Forest vs Logistic Regression

Autor: Lvr Lagaert, H.A.A.M. Van Vliet, T.H.G.F. Bakkes, Kyr Stevens, M Van De Keere, S Houterman, Benedictus C. Schoot

Publikováno v: Journal of Minimally Invasive Gynecology. 26:S154

Study Objective To compare the performance of the prediction models of surgical re-intervention within 2 years after endometrial ablation (EA) by a multivariate random forest model vs the previously presented multivariate logistic regression model. D

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fa123c890c72f280c8e985ce9f06bca8
https://doi.org/10.1016/j.jmig.2019.09.255

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