The invention provides a smoker
smoking cessation skill learning and
smoking cessation intervention
system, and belongs to the technical field of
medical care information, the method is applied to a mobile terminal, and the
system realizes accurate
smoking cessation intervention through multi-terminal cooperation. The wearable device end collects physiological indexes,
sleep quality, motion data, psychological data and
carbon monoxide concentration of a user in real time; the
server constructs a neural network prediction model based on a
deep learning framework, analyzes the collected data, and predicts the smoking probability of the user in a future period; the
mobile phone application end pushes grading intervention content according to a prediction result; when the probability exceeds a threshold value, visual smoking
hazard science popularization is pushed; when the probability is medium, real-time
smoke control prompts such as
acupuncture point pressing are pushed; and pushing interest transfer guidance when the probability is low. Multi-
source data are integrated through an AI model, a'
data acquisition-risk prediction-hierarchical intervention 'closed-loop
system is constructed, a personalized smoking cessation strategy is dynamically generated, and a skill learning module and a smoking cessation process management function are synchronously provided.