Recommendation of clinical diagnostic literature based on random forest model and query expansion

B Cui, H Ding, S Li, G Zhuang - Procedia Computer Science, 2019 - Elsevier
The discovery of valuable content from mass medical literature to help clinicians in decision-
making of diagnosis has become an important research area. Since 2014, it has been …

Recommending Medical Literature with Random Forest Model and Query Expansion

D Hao, H Guangwei, Q Jianglei… - Data Analysis and …, 2021 - manu44.magtech.com.cn
[Objective] This paper tries to find valuable contents from a large number of medical
literatures, aiming to help physicians make diagnosis and improve medical literature …