Journal of Antivirals & Antiretrovirals
Open Access

Department of Infectious Diseases, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, China

Biography

Lingling Tang works at Department of Infectious Diseases, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, China. His area of research interests includes Infectious diseases, Virology. He /she has authored of many research articles/books in the relevant areas.

Publications

• Research Article   
  A Prediction Model Based on Machine Learning for Diagnosing the Early COVID-19 Patients
  Author(s): Nannan Sun, Ya Yang, Lingling Tang, Zhen Li, Yining Dai, Wan Xu, Xiaoliang Qian, Hainv Gao and Bin Ju*
  
  Objective: To improve the timeliness for the early COVID-19 infection diagnosis, it is essential to develop a decision- making tool to assist early diagnosis of COVID-19 patients in fever clinics. Materials and methods: This paper aims at extracting risk factors from clinical data of 912 early COVID-19 infected patients and utilizing four types of traditional machine learning approaches including Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF) and a deep learning-based method for diagnosis of early COVID-19. Results: The results show that the LR predictive model presents a higher specificity rate of 0.95, an Area Under the receiver operating Curve (AUC) of 0.971 and an improved sensitivity rate of 0.82, which makes it optimal for the screening of early COVID-19 infection. .. View More»
  DOI: 10.35248/1948-5964.21.s18.002

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