Hasil Pencarian - Mark Hoogendoorn

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  1. 1
    Special Issue “Technology for Mental Health”

    Special Issue “Technology for Mental Health” oleh Pietro Cipresso, Mark Hoogendoorn, Michel Klein, Aleksandar Matic

    Diterbitkan 2013-03-01
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  2. 2
    Prediction of heart failure 1 year before diagnosis in general practitioner patients using machine learning algorithms: a retrospective case–control study

    Prediction of heart failure 1 year before diagnosis in general practitioner patients using machine learning algorithms: a retrospective case–control study oleh Frank C Bennis, Mark Hoogendoorn, Claire Aussems, Joke C Korevaar

    Diterbitkan 2022-08-01
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  3. 3
    Jasmine: A new Active Learning approach to combat cybercrime

    Jasmine: A new Active Learning approach to combat cybercrime oleh Jan Klein, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei

    Diterbitkan 2022-09-01
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  4. 4
    What is the future of artificial intelligence in obstetrics? A qualitative study among healthcare professionals

    What is the future of artificial intelligence in obstetrics? A qualitative study among healthcare professionals oleh Mark Hoogendoorn, Petra Bakker, Pim Teunissen, Anne Fischer, Anna Rietveld

    Diterbitkan 2023-10-01
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  5. 5
    Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data

    Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data oleh Adam Mikus, Mark Hoogendoorn, Artur Rocha, Joao Gama, Jeroen Ruwaard, Heleen Riper

    Diterbitkan 2018-06-01
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  6. 6
    Predictive modeling in e-mental health: A common language framework

    Predictive modeling in e-mental health: A common language framework oleh Dennis Becker, Ward van Breda, Burkhardt Funk, Mark Hoogendoorn, Jeroen Ruwaard, Heleen Riper

    Diterbitkan 2018-06-01
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  7. 7
    Predicting therapy success for treatment as usual and blended treatment in the domain of depression

    Predicting therapy success for treatment as usual and blended treatment in the domain of depression oleh Ward van Breda, Vincent Bremer, Dennis Becker, Mark Hoogendoorn, Burkhardt Funk, Jeroen Ruwaard, Heleen Riper

    Diterbitkan 2018-06-01
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  8. 8
    Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling

    Application of SHAP values for inferring the optimal functional form of covariates in pharmacokinetic modeling oleh Alexander Janssen, Mark Hoogendoorn, Marjon H. Cnossen, Ron A. A. Mathôt, the OPTI‐CLOT Study Group and SYMPHONY Consortium

    Diterbitkan 2022-08-01
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  9. 9
    Reinforcement learning for intensive care medicine: actionable clinical insights from novel approaches to reward shaping and off-policy model evaluation

    Reinforcement learning for intensive care medicine: actionable clinical insights from novel approaches to reward shaping and off-policy model evaluation oleh Luca F. Roggeveen, Ali el Hassouni, Harm-Jan de Grooth, Armand R. J. Girbes, Mark Hoogendoorn, Paul W. G. Elbers, the Dutch ICU Data Sharing Against COVID-19 Collaborators

    Diterbitkan 2024-03-01
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  10. 10
    Development of machine learning models predicting mortality using routinely collected observational health data from 0-59 months old children admitted to an intensive care unit in Bangladesh: critical role of biochemistry and haematology data

    Development of machine learning models predicting mortality using routinely collected observational health data from 0-59 months old children admitted to an intensive care unit in... oleh Subhasish Das, Mustafa Mahfuz, Shah Mohammad Fahim, Tahmeed Ahmed, Md Ashraful Alam, S M Tafsir Hasan, Mark Hoogendoorn, Robert H J Bandsma, Teun Zuiderent-Jerak, Lauren Erdman, Wieger Voskuijl, Daniella Brals, Bartlomiej Boczek, Paraskevi Massara

    Diterbitkan 2024-07-01
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  11. 11
    Discovery of predictors of sudden cardiac arrest in diabetes: rationale and outline of the RESCUED (REcognition of Sudden Cardiac arrest vUlnErability in Diabetes) project

    Discovery of predictors of sudden cardiac arrest in diabetes: rationale and outline of the RESCUED (REcognition of Sudden Cardiac arrest vUlnErability in Diabetes) project oleh Amber A van der Heijden, Leen M 't Hart, Laura H van Dongen, Peter P Harms, Mark Hoogendoorn, Dominic S Zimmerman, Elisabeth M Lodder, Ron Herings, Giel Nijpels, Karin M A Swart, Marieke T Blom, Petra J Elders

    Diterbitkan 2021-06-01
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  12. 12
    Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists

    Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists oleh Patrick J. Thoral, MD, Mattia Fornasa, PhD, Daan P. de Bruin, MSc, Michele Tonutti, MRes, Hidde Hovenkamp, MSc, Ronald H. Driessen, Armand R. J. Girbes, MD, PhD, Mark Hoogendoorn, PhD, Paul W. G. Elbers, MD, PhD

    Diterbitkan 2021-09-01
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  13. 13
    Optimizing the Dutch newborn screening for congenital hypothyroidism by incorporating amino acids and acylcarnitines in a machine learning-based model

    Optimizing the Dutch newborn screening for congenital hypothyroidism by incorporating amino acids and acylcarnitines in a machine learning-based model oleh Heleen I Jansen, Marije van Haeringen, Marelle J Bouva, Wendy P J den Elzen, Eveline Bruinstroop, Catharina P B van der Ploeg, A S Paul van Trotsenburg, Nitash Zwaveling-Soonawala, Annemieke C Heijboer, Annet M Bosch, Robert de Jonge, Mark Hoogendoorn, Anita Boelen

    Diterbitkan 2023-11-01
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  14. 14
    Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning

    Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning oleh Tariq A. Dam, Luca F. Roggeveen, Fuda van Diggelen, Lucas M. Fleuren, Ameet R. Jagesar, Martijn Otten, Heder J. de Vries, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter, Evert-Jan Wils, Tim Frenzel, Dave A. Dongelmans, Remko de Jong, Marco A. A. Peters, Marlijn J. A. Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G. C. A. Nooteboom, Wouter de Ruijter, Louise C. Urlings-Strop, Ellen G. M. Smit, D. Jannet Mehagnoul-Schipper, Tom Dormans, Cornelis P. C. de Jager, Stefaan H. A. Hendriks, Sefanja Achterberg, Evelien Oostdijk, Auke C. Reidinga, Barbara Festen-Spanjer, Gert B. Brunnekreef, Alexander D. Cornet, Walter van den Tempel, Age D. Boelens, Peter Koetsier, Judith Lens, Harald J. Faber, A. Karakus, Robert Entjes, Paul de Jong, Thijs C. D. Rettig, Sesmu Arbous, Sebastiaan J. J. Vonk, Tomas Machado, Willem E. Herter, Harm-Jan de Grooth, Patrick J. Thoral, Armand R. J. Girbes, Mark Hoogendoorn, Paul W. G. Elbers, The Dutch ICU Data Sharing Against COVID-19 Collaborators

    Diterbitkan 2022-10-01
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  15. 15
    The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients

    The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients oleh Lucas M. Fleuren, Tariq A. Dam, Michele Tonutti, Daan P. de Bruin, Robbert C. A. Lalisang, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter, Evert-Jan Wils, Tim Frenzel, Dave A. Dongelmans, Remko de Jong, Marco Peters, Marlijn J. A. Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G. C. A. Nooteboom, Wouter de Ruijter, Louise C. Urlings-Strop, Ellen G. M. Smit, D. Jannet Mehagnoul-Schipper, Tom Dormans, Cornelis P. C. de Jager, Stefaan H. A. Hendriks, Sefanja Achterberg, Evelien Oostdijk, Auke C. Reidinga, Barbara Festen-Spanjer, Gert B. Brunnekreef, Alexander D. Cornet, Walter van den Tempel, Age D. Boelens, Peter Koetsier, Judith Lens, Harald J. Faber, A. Karakus, Robert Entjes, Paul de Jong, Thijs C. D. Rettig, Sesmu Arbous, Sebastiaan J. J. Vonk, Mattia Fornasa, Tomas Machado, Taco Houwert, Hidde Hovenkamp, Roberto Noorduijn-Londono, Davide Quintarelli, Martijn G. Scholtemeijer, Aletta A. de Beer, Giovanni Cina, Martijn Beudel, Willem E. Herter, Armand R. J. Girbes, Mark Hoogendoorn, Patrick J. Thoral, Paul W. G. Elbers

    Diterbitkan 2021-08-01
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  16. 16
    Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse

    Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Wareho... oleh Lucas M. Fleuren, Michele Tonutti, Daan P. de Bruin, Robbert C. A. Lalisang, Tariq A. Dam, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sebastiaan J. J. Vonk, Mattia Fornasa, Tomas Machado, Nardo J. M. van der Meer, Sander Rigter, Evert-Jan Wils, Tim Frenzel, Dave A. Dongelmans, Remko de Jong, Marco Peters, Marlijn J. A. Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G. C. A. Nooteboom, Wouter de Ruijter, Louise C. Urlings-Strop, Ellen G. M. Smit, D. Jannet Mehagnoul-Schipper, Tom Dormans, Cornelis P. C. de Jager, Stefaan H. A. Hendriks, Evelien Oostdijk, Auke C. Reidinga, Barbara Festen-Spanjer, Gert Brunnekreef, Alexander D. Cornet, Walter van den Tempel, Age D. Boelens, Peter Koetsier, Judith Lens, Sefanja Achterberg, Harald J. Faber, A. Karakus, Menno Beukema, Robert Entjes, Paul de Jong, Taco Houwert, Hidde Hovenkamp, Roberto Noorduijn Londono, Davide Quintarelli, Martijn G. Scholtemeijer, Aletta A. de Beer, Giovanni Cinà, Martijn Beudel, Nicolet F. de Keizer, Mark Hoogendoorn, Armand R. J. Girbes, Willem E. Herter, Paul W. G. Elbers, Patrick J. Thoral, Dutch ICU Data Sharing Against COVID-19 Collaborators

    Diterbitkan 2021-06-01
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  17. 17
    Predictors for extubation failure in COVID-19 patients using a machine learning approach

    Predictors for extubation failure in COVID-19 patients using a machine learning approach oleh Lucas M. Fleuren, Tariq A. Dam, Michele Tonutti, Daan P. de Bruin, Robbert C. A. Lalisang, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter, Evert-Jan Wils, Tim Frenzel, Dave A. Dongelmans, Remko de Jong, Marco Peters, Marlijn J. A. Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G. C. A. Nooteboom, Wouter de Ruijter, Louise C. Urlings-Strop, Ellen G. M. Smit, D. Jannet Mehagnoul-Schipper, Tom Dormans, Cornelis P. C. de Jager, Stefaan H. A. Hendriks, Sefanja Achterberg, Evelien Oostdijk, Auke C. Reidinga, Barbara Festen-Spanjer, Gert B. Brunnekreef, Alexander D. Cornet, Walter van den Tempel, Age D. Boelens, Peter Koetsier, Judith Lens, Harald J. Faber, A. Karakus, Robert Entjes, Paul de Jong, Thijs C. D. Rettig, Sesmu Arbous, Sebastiaan J. J. Vonk, Mattia Fornasa, Tomas Machado, Taco Houwert, Hidde Hovenkamp, Roberto Noorduijn Londono, Davide Quintarelli, Martijn G. Scholtemeijer, Aletta A. de Beer, Giovanni Cinà, Adam Kantorik, Tom de Ruijter, Willem E. Herter, Martijn Beudel, Armand R. J. Girbes, Mark Hoogendoorn, Patrick J. Thoral, Paul W. G. Elbers, the Dutch ICU Data Sharing Against Covid-19 Collaborators

    Diterbitkan 2021-12-01
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  18. 18
    Optimising the care for older persons with complex chronic conditions in home care and nursing homes: design and protocol of I-CARE4OLD, an observational study using real-world data

    Optimising the care for older persons with complex chronic conditions in home care and nursing homes: design and protocol of I-CARE4OLD, an observational study using real-world dat... oleh John P Hirdes, Hao Luo, Davide L Vetrano, Graziano Onder, Jonathan Chen, Violetta Kijowska, Katarzyna Szczerbińska, Johanna Edgren, Amaia Calderón-Larrañaga, George Heckman, Ron MC Herings, Johanna de Almeida Mello, Anja Declercq, Mark Hoogendoorn, Caitlin McArthur, Mari Aaltonen, Yi Chai, Karlijn J Joling, Micaela Jantzi, Rosa Liperoti, Melissa Northwood, Ilona Barańska, Agata Stodolska, Margaret Saari, Luca Mariotti, Emiel O Hoogendijk, Luke Turcotte, Louk Smalbil, Elizabeth P Howard, John N Morris, Daniela Fialová, Eline CM Kooijmans, Riikka-Leena Leskelä, Jokke Häsä, Georg Ruppe, Hein PJ van Hout, Carmen Angioletti, Olena Antonenko, Shireen Aziz, Gustavo Betini, Jovana Brkič, Roberto Da Cas, Daniel Da Cunha Leme, Lu Dai, Cecilia Damiano, Natalia Drapała, Bonaventure Egbujie, Collin JC Exmann, Harriet Finne-Soveri, Charlene France, Tiziana Grisetti, Ira Haavisto, Sophie Hogeveen, Paweł Jagielski, Laurian Jongejan, Jet E Klunder, Ingrid Kummer, Anna Lukačišinová, Matti Mäkelä, Krista Mathias, Amanda Mofina, Reem Mulla, Mikko Nuutinen, Sandra Ochwat, Paula Pennanen, Jitka Pokladníková, Bregtje Proost, Ahmer Raza, Emanuele Rocco Villani, Jindra Reissigová, Erez Schachter, Katarzyna Sekulak, Chi-Ling Joanna Sinn, Andrea Vokálová, Adrianna Ziuziakowska

    Diterbitkan 2023-06-01
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  19. 19
    Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome

    Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome oleh Tariq A. Dam, MD, Harm-Jan de Grooth, MD, PhD, Thomas Klausch, PhD, Lucas M. Fleuren, MD, Daan P. de Bruin, MSc, Robert Entjes, MD, Thijs C. D. Rettig, MD, PhD, Dave A. Dongelmans, MD, PhD, Age D. Boelens, MD, Sander Rigter, MD, Stefaan H. A. Hendriks, MD, Remko de Jong, MD, Marlijn J. A Kamps, MD, Marco Peters, MD, A. Karakus, MD, Diederik Gommers, MD, PhD, Dharmanand Ramnarain, MD, Evert-Jan Wils, MD, PhD, Sefanja Achterberg, MD, PhD, Ralph Nowitzky, MD, Walter van den Tempel, MD, Cornelis P. C. de Jager, MD, PhD, Fleur G. C. A. Nooteboom, MD, Evelien Oostdijk, MD, PhD, Peter Koetsier, MD, Alexander D. Cornet, MD, PhD, FRCP, Auke C. Reidinga, MD, Wouter de Ruijter, MD, PhD, Rob J. Bosman, MD, Tim Frenzel, MD, PhD, Louise C. Urlings-Strop, MD, PhD, Paul de Jong, MD, Ellen G. M. Smit, MD, Olaf L. Cremer, MD, PhD, D. Jannet Mehagnoul-Schipper, MD, PhD, Harald J. Faber, MD, Judith Lens, MD, Gert B. Brunnekreef, MD, Barbara Festen-Spanjer, MD, Tom Dormans, MD, PhD, Annemieke Dijkstra, MD, Bram Simons, MD, A. A. Rijkeboer, MD, Sesmu Arbous, MD, PhD, Marcel Aries, MD, PhD, Menno Beukema, MD, Daniël Pretorius, MD, Rutger van Raalte, MD, Martijn van Tellingen, MD, EDIC, Niels C. Gritters van den Oever, MD, Robbert C. A. Lalisang, MD, Michele Tonutti, MRes, Armand R. J. Girbes, MD, PhD, EDIC, Mark Hoogendoorn, PhD, Patrick J. Thoral, MD, EDIC, Paul W. G. Elbers, MD, PhD, EDIC, on behalf of the Dutch ICU Data Sharing Against COVID-19 Collaborators, Remko van den Akker, Tom A. Rijpstra, M. C. Reuland, Klaas Sierk Arnold, Arend Jan Meinders, Nicolas Schroten, Laura van Manen, Leon Montenij, Julia Koeter, J. W. Fijen, Jasper van Bommel, Roy van den Berg, Martha de Bruin, Roger van Rietschote, Ellen van Geest, Koen S. Simons, Anisa Hana, Joost Labout, Michael Kuiper, Albertus Beishuizen, Bart van de Gaauw, Roos Renckens, B. van den Bogaard, Peter Pickkers, Pim van der Heiden, Dennis Geutjes, Claudia (C. W.) van Gemeren, Emma Rademaker, Frits H. M. van Osch, Johan Lutisan, Jacomar J. M. van Koesveld, Bart P. Grady, Martijn de Kruif, Martin E. Haan, Luca Roggeveen, Dagmar M. Ouweneel, Ronald Driessen, Jan Peppink, G. J. Zijlstra, A. J. van Tienhoven, Evelien van der Heiden, Jan Jaap Spijkstra, Hans van der Spoel, Angelique de Man, Heder J. de Vries, Fuda van Diggelen, Ali el Hassouni, David Romero Guzman, Sandjai Bhulai, Sebastiaan J. J. Vonk, Mattia Fornasa, Tomas Machado, Adam Izdebski, Taco Houwert, Hidde Hovenkamp, Roberto Noorduijn Londono, Davide Quintarelli, Martijn G. Scholtemeijer, Aletta A. de Beer, Giovanni Cinà, Willem E. Herter, Michael de Neree tot Babberich, Olivier Thijssens, Lot Wagemakers, Hilde G. A. van der Pol, Tom Hendriks, Julie Berend, Virginia Ceni Silva, Robert F. J. Kullberg, Leo Heunks, Nicole Juffermans, Arjen J. C. Slooter, Martijn Beudel, Nicolet F. de Keizer

    Diterbitkan 2021-10-01
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