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Martijn C Schut

Showing results (1-10 of 27) with videos related to

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Studies in Health Technology and Informatics|May 27, 2021
Interpretable and Continuous Prediction of Acute Kidney Injury in the Intensive CareIacopo Vagliano, Oleksandra Lvova, Martijn C Schut
Studies in Health Technology and Informatics|January 22, 2022
Machine Learning, Clinical Notes and Knowledge Graphs for Early Prediction of Acute Kidney Injury in the Intensive CareIacopo Vagliano, Wei-Hsiang Hsu, Martijn C Schut
Studies in Health Technology and Informatics|July 1, 2022
External Validation and Transportability of Models to Predict Acute Kidney Injury in the Intensive Care UnitIacopo Vagliano, Carmen Byrne Salsas, Tina Wünn, et al.
Biorxiv : the Preprint Server for Biology|May 25, 2026
BioMADE: Predicting Torsades de Pointes from molecular structures through biologically informed representationsJose Miguel Acitores Cortina, Martijn C Schut, Nicholas P Tatonetti
Scientific Reports|July 4, 2023
Early detection of colorectal cancer by leveraging Dutch primary care consultation notes with free text embeddingsTorec T Luik, Ameen Abu-Hanna, Henk C P M van Weert, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|October 12, 2021
Development and Internal Validation of a Risk Prediction Model for Falls Among Older People Using Primary Care Electronic Health RecordsNoman Dormosh, Martijn C Schut, Martijn W Heymans, et al.
Clinical Kidney Journal|November 16, 2022
Machine learning models for predicting acute kidney injury: a systematic review and critical appraisalIacopo Vagliano, Nicholas C Chesnaye, Jan Hendrik Leopold, et al.
Age and Ageing|February 16, 2024
Topic evolution before fall incidents in new fallers through natural language processing of general practitioners' clinical notesNoman Dormosh, Ameen Abu-Hanna, Iacer Calixto, et al.
Age and Ageing|April 4, 2023
Predicting future falls in older people using natural language processing of general practitioners' clinical notesNoman Dormosh, Martijn C Schut, Martijn W Heymans, et al.
Journal of the American Medical Directors Association|August 13, 2022
External Validation of a Prediction Model for Falls in Older People Based on Electronic Health Records in Primary CareNoman Dormosh, Martijn W Heymans, Nathalie van der Velde, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Studies in Health Technology and Informatics|May 27, 2021
Interpretable and Continuous Prediction of Acute Kidney Injury in the Intensive CareIacopo Vagliano, Oleksandra Lvova, Martijn C Schut
Studies in Health Technology and Informatics|January 22, 2022
Machine Learning, Clinical Notes and Knowledge Graphs for Early Prediction of Acute Kidney Injury in the Intensive CareIacopo Vagliano, Wei-Hsiang Hsu, Martijn C Schut
Studies in Health Technology and Informatics|July 1, 2022
External Validation and Transportability of Models to Predict Acute Kidney Injury in the Intensive Care UnitIacopo Vagliano, Carmen Byrne Salsas, Tina Wünn, et al.
Biorxiv : the Preprint Server for Biology|May 25, 2026
BioMADE: Predicting Torsades de Pointes from molecular structures through biologically informed representationsJose Miguel Acitores Cortina, Martijn C Schut, Nicholas P Tatonetti
Scientific Reports|July 4, 2023
Early detection of colorectal cancer by leveraging Dutch primary care consultation notes with free text embeddingsTorec T Luik, Ameen Abu-Hanna, Henk C P M van Weert, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|October 12, 2021
Development and Internal Validation of a Risk Prediction Model for Falls Among Older People Using Primary Care Electronic Health RecordsNoman Dormosh, Martijn C Schut, Martijn W Heymans, et al.
Clinical Kidney Journal|November 16, 2022
Machine learning models for predicting acute kidney injury: a systematic review and critical appraisalIacopo Vagliano, Nicholas C Chesnaye, Jan Hendrik Leopold, et al.
Age and Ageing|February 16, 2024
Topic evolution before fall incidents in new fallers through natural language processing of general practitioners' clinical notesNoman Dormosh, Ameen Abu-Hanna, Iacer Calixto, et al.
Age and Ageing|April 4, 2023
Predicting future falls in older people using natural language processing of general practitioners' clinical notesNoman Dormosh, Martijn C Schut, Martijn W Heymans, et al.
Journal of the American Medical Directors Association|August 13, 2022
External Validation of a Prediction Model for Falls in Older People Based on Electronic Health Records in Primary CareNoman Dormosh, Martijn W Heymans, Nathalie van der Velde, et al.
Pageof 3