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Jacques D Fleuriot

Showing results (1-10 of 9) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|July 18, 2024
Neurosymbolic AI for Reasoning Over Knowledge Graphs: A SurveyLauren Nicole DeLong, Ramon Fernandez Mir, Jacques D Fleuriot
Computer Methods and Programs in Biomedicine|March 22, 2023
Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretabilityColleen E Charlton, Michael T C Poon, Paul M Brennan, et al.
Journal of Healthcare Informatics Research|February 3, 2025
Comparing Care Pathways Between COVID-19 Pandemic Waves Using Electronic Health Records: A Process Mining Case StudyKonstantin Georgiev, Jacques D Fleuriot, Petros Papapanagiotou, et al.
Communications Medicine|May 13, 2025
Cluster and survival analysis of UK biobank data reveals associations between physical multimorbidity clusters and subsequent depressionLauren Nicole DeLong, Kelly Fleetwood, Regina Prigge, et al.
Ebiomedicine|March 22, 2024
Multimorbidity analysis with low condition counts: a robust Bayesian approach for small but important subgroupsGuillermo Romero Moreno, Valerio Restocchi, Jacques D Fleuriot, et al.
NPJ Digital Medicine|December 17, 2025
Machine learning-based predictions of healthcare contacts following emergency hospitalisation using electronic health recordsKonstantin Georgiev, Dimitrios Doudesis, Joanne McPeake, et al.
The Lancet. Healthy Longevity|February 8, 2024
Performance of models for predicting 1-year to 3-year mortality in older adults: a systematic review of externally validated modelsLeonard Ho, Carys Pugh, Sohan Seth, et al.
Age and Ageing|May 10, 2024
Predicting short- to medium-term care home admission risk in older adults: a systematic review of externally validated modelsLeonard Ho, Carys Pugh, Sohan Seth, et al.
Brain Communications|January 6, 2025
Predicting incident dementia in community-dwelling older adults using primary and secondary care data from electronic health recordsKonstantin Georgiev, Yiqing Wang, Andrew Conkie, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|July 18, 2024
Neurosymbolic AI for Reasoning Over Knowledge Graphs: A SurveyLauren Nicole DeLong, Ramon Fernandez Mir, Jacques D Fleuriot
Computer Methods and Programs in Biomedicine|March 22, 2023
Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretabilityColleen E Charlton, Michael T C Poon, Paul M Brennan, et al.
Journal of Healthcare Informatics Research|February 3, 2025
Comparing Care Pathways Between COVID-19 Pandemic Waves Using Electronic Health Records: A Process Mining Case StudyKonstantin Georgiev, Jacques D Fleuriot, Petros Papapanagiotou, et al.
Communications Medicine|May 13, 2025
Cluster and survival analysis of UK biobank data reveals associations between physical multimorbidity clusters and subsequent depressionLauren Nicole DeLong, Kelly Fleetwood, Regina Prigge, et al.
Ebiomedicine|March 22, 2024
Multimorbidity analysis with low condition counts: a robust Bayesian approach for small but important subgroupsGuillermo Romero Moreno, Valerio Restocchi, Jacques D Fleuriot, et al.
NPJ Digital Medicine|December 17, 2025
Machine learning-based predictions of healthcare contacts following emergency hospitalisation using electronic health recordsKonstantin Georgiev, Dimitrios Doudesis, Joanne McPeake, et al.
The Lancet. Healthy Longevity|February 8, 2024
Performance of models for predicting 1-year to 3-year mortality in older adults: a systematic review of externally validated modelsLeonard Ho, Carys Pugh, Sohan Seth, et al.
Age and Ageing|May 10, 2024
Predicting short- to medium-term care home admission risk in older adults: a systematic review of externally validated modelsLeonard Ho, Carys Pugh, Sohan Seth, et al.
Brain Communications|January 6, 2025
Predicting incident dementia in community-dwelling older adults using primary and secondary care data from electronic health recordsKonstantin Georgiev, Yiqing Wang, Andrew Conkie, et al.
Pageof 1