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Anglický jazyk
Mining health data in multimodal data series for disease prediction
Autor: Sasi Kala Rani Kalanjiam
A graph-based, semi-supervised learning algorithmic rule called SHG-Health (Semi-supervised Heterogeneous Graph on Health) for risk predictions to classify a progressively developing situation with the majority of the data unlabeled. An efficient iterative... Viac o knihe
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O knihe
A graph-based, semi-supervised learning algorithmic rule called SHG-Health (Semi-supervised Heterogeneous Graph on Health) for risk predictions to classify a progressively developing situation with the majority of the data unlabeled. An efficient iterative algorithm is designed, and the proof of convergence is given. Extensive experiments based on both real health examination datasets and synthetic datasets are performed to show the effectiveness and efficiency of this method.
- Vydavateľstvo: LAP LAMBERT Academic Publishing
- Rok vydania: 2019
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9786139444960
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