Hidden Markov model segmentation to demarcate trajectories of residual apnoea-hypopnoea index in CPAP-treated sleep apnoea patients to personalize follow-up and prevent treatment failure

利用隐马尔可夫模型分割法，对接受持续气道正压通气（CPAP）治疗的睡眠呼吸暂停患者的残余呼吸暂停低通气指数轨迹进行划分，以实现个性化随访并预防治疗失败。