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

Autor: 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

Publikováno v: BMJ Paediatrics Open, Vol 8, Iss 1 (2024)

Introduction Treatment in the intensive care unit (ICU) generates complex data where machine learning (ML) modelling could be beneficial. Using routine hospital data, we evaluated the ability of multiple ML models to predict inpatient mortality in a

Externí odkaz: https://doaj.org/article/78e442347033495e81bc569a5284db6c

Optimizing the Dutch newborn screening for congenital hypothyroidism by incorporating amino acids and acylcarnitines in a machine learning-based model

Autor: 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

Publikováno v: European Thyroid Journal, Vol 12, Iss 6, Pp 1-10 (2023)

Objective: Congenital hypothyroidism (CH) is an inborn thyroid hormone (TH) deficiency mostly caused by thyroidal (primary CH) or hypothalamic/pituitary (central CH) disturbances. Most CH newborn screening (NBS) programs are thyroid-stimulating-hormo

Externí odkaz: https://doaj.org/article/f3136411e702473c8b935f5fc33c8927

Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning

Autor: 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

Publikováno v: Annals of Intensive Care, Vol 12, Iss 1, Pp 1-9 (2022)

Abstract Background For mechanically ventilated critically ill COVID-19 patients, prone positioning has quickly become an important treatment strategy, however, prone positioning is labor intensive and comes with potential adverse effects. Therefore,

Externí odkaz: https://doaj.org/article/a3584c779f174b4ab55ecd74982c5e66

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

Autor: 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

Publikováno v: BMJ Open, Vol 13, Iss 6 (2023)

Introduction In ageing societies, the number of older adults with complex chronic conditions (CCCs) is rapidly increasing. Care for older persons with CCCs is challenging, due to interactions between multiple conditions and their treatments. In home

Externí odkaz: https://doaj.org/article/e2b7c613029d49d1bc4a947442188a89

The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients

Autor: 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

Publikováno v: Critical Care, Vol 25, Iss 1, Pp 1-12 (2021)

Abstract Background The Coronavirus disease 2019 (COVID-19) pandemic has underlined the urgent need for reliable, multicenter, and full-admission intensive care data to advance our understanding of the course of the disease and investigate potential

Externí odkaz: https://doaj.org/article/fda39d22c4e340efbc3a04cd3073f6b4