Cargando…
The Technology-Oriented Pathway for Auxiliary Diagnosis in the Digital Health Age: A Self-Adaptive Disease Prediction Model
The advent of the digital age has accelerated the transformation and upgrading of the traditional medical diagnosis pattern. With the rise of the concept of digital health, the emerging information technologies, such as machine learning (ML) and data mining (DM), have been extensively applied in the...
Autores principales: | Hao, Zhiyuan, Ma, Jie, Sun, Wenjing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566816/ https://www.ncbi.nlm.nih.gov/pubmed/36231805 http://dx.doi.org/10.3390/ijerph191912509 |
Ejemplares similares
-
A digital twin auxiliary approach based on adaptive sparse attention network for diesel engine fault diagnosis
por: Jiang, Jiajie, et al.
Publicado: (2022) -
An Orthopedic Auxiliary Diagnosis System Based on Image Recognition Technology
por: Guo, Yang, et al.
Publicado: (2021) -
Research and application of intelligent image processing technology in the auxiliary diagnosis of aortic coarctation
por: Yan, Taocui, et al.
Publicado: (2023) -
Deep supervised learning using self-adaptive auxiliary loss for COVID-19 diagnosis from imbalanced CT images
por: Hu, Kai, et al.
Publicado: (2021) -
Auxiliary Diagnosis for COVID-19 with Deep Transfer Learning
por: Chen, Hongtao, et al.
Publicado: (2021)