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Mining health data in multimodal data series for disease prediction

57,42 
57,42 
2025-07-31 57.4200 InStock
Nemokamas pristatymas į paštomatus per 16-20 darbo dienų užsakymams nuo 19,00 

Knygos aprašymas

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.

Informacija

Autorius: Sasi Kala Rani Kalanjiam, Ramya Dhandapani,
Leidėjas: LAP LAMBERT Academic Publishing
Išleidimo metai: 2019
Knygos puslapių skaičius: 72
ISBN-10: 6139444969
ISBN-13: 9786139444960
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Archiving, preservation and digitization

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