Classification and Prediction of Violence Against Chinese Medical Staff on the Sina Microblog Based on a Self-Organizing Map: Quantitative Study.

ABSTRACT: BACKGROUND:For the last decade, doctor-patient contradiction in China has remained prominent, and workplace violence toward medical staff still occurs frequently. However, little is known about the types and laws of propagation of violence against medical staff online. OBJECTIVE:By using a self-organizing map (SOM), we aimed to explore the microblog propagation law for violent incidents in China that involve medical staff, to classify the types of incidents and provide a basis for rapidly and accurately predicting trends in public opinion and developing corresponding measures to improve the relationship between doctors and patients. METHODS:For this study, we selected 60 cases of violent incidents in China involving medical staff that led to heated discussions on the Sina microblog from 20

SUBMITTER: Duan G 

PROVIDER: S-EPMC7284412 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature