Comorbid insomnia among breast cancer survivors and its prediction using machine learning: a nationwide study in Japan.
Taro UenoDaisuke IchikawaYoichi ShimizuTomomi NarisawaKatsunori TsujiEisuke OchiNaomi SakuraiHiroji IwataYutaka J MatsuokaPublished in: Japanese journal of clinical oncology (2021)
The high prevalence of sleep problems and its link with mortality warrants routine screening. Our novel predictive model using a machine learning approach offers clinically important insights for the early detection of comorbid insomnia and intervention in breast cancer survivors.