Jing Dong Health Competition: Detection of Sleep Apnea and Hypopnea（Data Castle 京东健康·全球医疗AI创新大赛：睡眠呼吸暂停和低通气事件检测）

This competition focuses on wearable sleep monitoring scenarios. By analyzing a patient's blood oxygen and heart rate data, it aims to detect apnea and hypopnea events, helping to warn patients of potential health risks.

Building upon yunsuxiaozi's feature engineering, I incorporated additional medically relevant features related to biological information, which have shown strong performance in ECG, EEG, and similar datasets. In addition, I used both xgboost and LGBM to make a fusion classification, there're more details in my solution! Feel free to reach out for discussion!