Remote Diagnosis on Upper Respiratory Tract Infections Based on a Neural Network with Few Symptom Words—A Feasibility Study

Remote Diagnosis on Upper Respiratory Tract Infections Based on a Neural Network with Few Symptom Words—A Feasibility Study

This study aims explore the feasibility of using neural network (NNs) and deep learning to diagnose three common respiratory diseases with few symptom words. These three diseases are nasopharyngitis, upper respiratory infection, and bronchitis/bronchiolitis. Through natural language processing, the...

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Bibliographic Details
Main Authors: Chung-Hung Tsai, Kuan-Hung Liu, Da-Chuan Cheng
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Diagnostics
Subjects:
natural language
remote diagnosis
GPT-2 model
deep learning
symptom words
Online Access:https://www.mdpi.com/2075-4418/14/3/329

Internet

https://www.mdpi.com/2075-4418/14/3/329

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