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Mark van Gils

Showing results (11-20 of 88) with videos related to

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Cognitive Behaviour Therapy|July 1, 2005
Long-term self-monitoring of weight: a case studyRaimo Lappalainen, Piia Pulkkinen, Mark van Gils, et al.
IEEE Transactions on Bio-Medical Engineering|June 22, 2011
Identification of adequate neurally adjusted ventilatory assist (NAVA) during systematic increases in the NAVA levelDimitrios Ververidis, Mark Van Gils, Christina Passath, et al.
Preventive Medicine Reports|October 24, 2024
Associations of depressive symptoms and psychosocial working conditions with sickness absences in a Finnish cohort of 11,495 employeesAnniina Anttila, Mikko Nuutinen, Mark Van Gils, et al.
Studies in Health Technology and Informatics|June 7, 2013
A MATLAB toolbox for classification and visualization of heterogenous multi-scale human data using the Disease State Fingerprint methodLuc Cluitmans, Jussi Mattila, Hilkka Runtti, et al.
Frontiers in Digital Health|February 14, 2024
Editorial: Supporting sustainable behavior change and empowerment in ubiquitous and learning health systemsJan David Smeddinck, Rada Hussein, Christopher Bull, et al.
BMJ Open|November 17, 2025
Identifying risk factors of long sickness absences: a registry-based study using explainable AI methodsAnniina Anttila, Mikko Nuutinen, Riikka-Leena Leskelä, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Discovery and use of efficient biomarkers for objective disease state assessment in Alzheimer's diseaseMark van Gils, Juha Koikkalainen, Jussi Mattila, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
An ontology-based framework aiming to support personalized exercise prescription: application in cardiac rehabilitationKonstantinos Kostopoulos, Ioanna Chouvarda, Vassilis Koutkias, et al.
Plos One|February 21, 2012
Improved classification of Alzheimer's disease data via removal of nuisance variabilityJuha Koikkalainen, Harri Pölönen, Jussi Mattila, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Prediction of poor outcome using detector of epileptiform EEG in ICU patients resuscitated after cardiac arrestMiikka Ermes, Mika Särkelä, Mark van Gils, et al.
Pageof 9

Showing results (11-20 of 88) with videos related to

Sort By:
Pageof 9
Cognitive Behaviour Therapy|July 1, 2005
Long-term self-monitoring of weight: a case studyRaimo Lappalainen, Piia Pulkkinen, Mark van Gils, et al.
IEEE Transactions on Bio-Medical Engineering|June 22, 2011
Identification of adequate neurally adjusted ventilatory assist (NAVA) during systematic increases in the NAVA levelDimitrios Ververidis, Mark Van Gils, Christina Passath, et al.
Preventive Medicine Reports|October 24, 2024
Associations of depressive symptoms and psychosocial working conditions with sickness absences in a Finnish cohort of 11,495 employeesAnniina Anttila, Mikko Nuutinen, Mark Van Gils, et al.
Studies in Health Technology and Informatics|June 7, 2013
A MATLAB toolbox for classification and visualization of heterogenous multi-scale human data using the Disease State Fingerprint methodLuc Cluitmans, Jussi Mattila, Hilkka Runtti, et al.
Frontiers in Digital Health|February 14, 2024
Editorial: Supporting sustainable behavior change and empowerment in ubiquitous and learning health systemsJan David Smeddinck, Rada Hussein, Christopher Bull, et al.
BMJ Open|November 17, 2025
Identifying risk factors of long sickness absences: a registry-based study using explainable AI methodsAnniina Anttila, Mikko Nuutinen, Riikka-Leena Leskelä, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Discovery and use of efficient biomarkers for objective disease state assessment in Alzheimer's diseaseMark van Gils, Juha Koikkalainen, Jussi Mattila, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
An ontology-based framework aiming to support personalized exercise prescription: application in cardiac rehabilitationKonstantinos Kostopoulos, Ioanna Chouvarda, Vassilis Koutkias, et al.
Plos One|February 21, 2012
Improved classification of Alzheimer's disease data via removal of nuisance variabilityJuha Koikkalainen, Harri Pölönen, Jussi Mattila, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Prediction of poor outcome using detector of epileptiform EEG in ICU patients resuscitated after cardiac arrestMiikka Ermes, Mika Särkelä, Mark van Gils, et al.
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