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WCNR 2024
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Poster zum Thema "Big data projects"
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P-011
Development of an integrated digital twin model for monitoring and predicting therapy progress in neurological patients using ICF-based documentation and therapy devices data
Gernot Greimler (Vienna / AT)
P-012
Increased risk of fracture after amputation: a Korean nationwide study
Dr Hyeonjin Cho (Seoul / KR)
P-013
Long-term Outcomes following brain TUmorS (LOTUS): nationwide register-based research on social and health adversities in Danish individuals with primary brain tumors and their spouses
Dr Jesper Fabricius (Aarhus / DK)
P-014
Extracting prognostic features from electronic medical records using named entity recognition algorithms for stroke outcome prediction
Kit Ying Lew (Taipei / TW)
P-015
Hierarchical logistic regression in validating stroke outcome prediction models constructed by named entity recognition algorithms-extracted prognostic features from electronic medical records
Kit Ying Lew (Taipei / TW)
P-016
Identifying biological sex using raw, resting state EEG data combined with deep learning networks
Professor Naznin Virji-Babul (Vancouver / CA)
P-017
TBI and long-term outcomes; prevalence of depression after 10 years
Rajiv Singh (Sheffield / GB)
PL-018
Machine learning-based prediction of cognitive function in patients with cognitive impairment
Ji Soo Baik (Yangsan / KR)
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