Showing 1 - 10 results of 10 for search 'M. J. C. Eijkemans', query time: 0.04s Refine Results
  1. 1
    Using Machine Learning Methods Incorporating Individual Reader Annotations to Classify Paediatric Chest Radiographs in Epidemiological Studies [version 2; peer review: 2 approved]

    Using Machine Learning Methods Incorporating Individual Reader Annotations to Classify Paediatric Chest Radiographs in Epidemiological Studies [version 2; peer review: 2 approved] by Samuel Akech, Paul Mwaniki, M. J. C Eijkemans, Timothy Kamanu

    Published 2022-08-01
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  2. 2
    Using self-supervised feature learning to improve the use of pulse oximeter signals to predict paediatric hospitalization [version 2; peer review: 2 approved]

    Using self-supervised feature learning to improve the use of pulse oximeter signals to predict paediatric hospitalization [version 2; peer review: 2 approved] by Samuel Akech, Paul Mwaniki, Dustin Dunsmuir, Timothy Kamanu, M.J.C Eijkemans, J. Mark Ansermino

    Published 2023-02-01
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  3. 3
    A Text Mining Approach in the Classification of Free-Text Cancer Pathology Reports from the South African National Health Laboratory Services

    A Text Mining Approach in the Classification of Free-Text Cancer Pathology Reports from the South African National Health Laboratory Services by Okechinyere J. Achilonu, Victor Olago, Elvira Singh, René M. J. C. Eijkemans, Gideon Nimako, Eustasius Musenge

    Published 2021-10-01
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  4. 4
    Erratum to: Unraveling the associations of age and menopause with cardiovascular risk factors in a large population-based study

    Erratum to: Unraveling the associations of age and menopause with cardiovascular risk factors in a large population-based study by A. C. de Kat, V. Dam, N. C. Onland-Moret, M. J. C. Eijkemans, F. J. M. Broekmans, Y. T. van der Schouw

    Published 2017-03-01
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  5. 5
    Incorporating repeated measurements into prediction models in the critical care setting: a framework, systematic review and meta-analysis

    Incorporating repeated measurements into prediction models in the critical care setting: a framework, systematic review and meta-analysis by Joost D. J. Plate, Rutger R. van de Leur, Luke P. H. Leenen, Falco Hietbrink, Linda M. Peelen, M. J. C. Eijkemans

    Published 2019-10-01
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  6. 6
    Corrigendum: Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study

    Corrigendum: Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study by Okechinyere J. Achilonu, June Fabian, June Fabian, Brendan Bebington, Brendan Bebington, Elvira Singh, Elvira Singh, Gideon Nimako, Gideon Nimako, M. J. C. Eijkemans, Eustasius Musenge

    Published 2021-10-01
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  7. 7
    Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study

    Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study by Okechinyere J. Achilonu, June Fabian, June Fabian, Brendan Bebington, Brendan Bebington, Elvira Singh, Elvira Singh, Gideon Nimako, Gideon Nimako, M. J. C. Eijkemans, Eustasius Musenge

    Published 2021-07-01
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  8. 8
    Use of Machine Learning and Statistical Algorithms to Predict Hospital Length of Stay Following Colorectal Cancer Resection: A South African Pilot Study

    Use of Machine Learning and Statistical Algorithms to Predict Hospital Length of Stay Following Colorectal Cancer Resection: A South African Pilot Study by Okechinyere J. Achilonu, June Fabian, June Fabian, Brendan Bebington, Brendan Bebington, Elvira Singh, Elvira Singh, Gideon Nimako, Gideon Nimako, Rene M. J. C. Eijkemans, Eustasius Musenge

    Published 2021-10-01
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  9. 9
    Does endometrial scratching increase the rate of spontaneous conception in couples with unexplained infertility and a good prognosis (Hunault > 30%)? Study protocol of the SCRaTCH-OFO trial: a randomized controlled trial

    Does endometrial scratching increase the rate of spontaneous conception in couples with unexplained infertility and a good prognosis (Hunault > 30%)? Study protocol of the SCRaTCH-... by B. N. Bui, H. L. Torrance, C. Janssen, B. Cohlen, J. P. de Bruin, J. E. den Hartog, P. J. Q. van der Linden, K. L. Deurloo, J. W. M. Maas, R. van Oppenraaij, A. Cantineau, C. B. Lambalk, H. Visser, E. Brinkhuis, J. van Disseldorp, B. C. Schoot, C. Lardenoije, M. van Wely, M. J. C. Eijkemans, F. J. M. Broekmans

    Published 2018-12-01
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  10. 10
    Endometrial scratching in women with implantation failure after a first IVF/ICSI cycle; does it lead to a higher live birth rate? The SCRaTCH study: a randomized controlled trial (NTR 5342)

    Endometrial scratching in women with implantation failure after a first IVF/ICSI cycle; does it lead to a higher live birth rate? The SCRaTCH study: a randomized controlled trial (... by N. E. van Hoogenhuijze, H. L. Torrance, F. Mol, J. S. E. Laven, E. Scheenjes, M. A. F. Traas, C. Janssen, B. Cohlen, G. Teklenburg, J. P. de Bruin, R. van Oppenraaij, J. W. M. Maas, E. Moll, K. Fleischer, M. H. van Hooff, C. de Koning, A. Cantineau, C. B. Lambalk, M. Verberg, M. Nijs, A. P. Manger, M. van Rumste, L. F. van der Voet, A. Preys-Bosman, J. Visser, E. Brinkhuis, J. E. den Hartog, A. Sluijmer, F. W. Jansen, W. Hermes, M. L. Bandell, M. J. Pelinck, J. van Disseldorp, M. van Wely, J. Smeenk, Q. D. Pieterse, J.C. Boxmeer, E.R. Groenewoud, M. J. C. Eijkemans, J. C. Kasius, F. J. M. Broekmans

    Published 2017-07-01
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