Mood state and episode prediction of patients with mood disorder by machine learning using automatically recorded digital log data based on circadian rhythm

Cho C. H.

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Mood state and episode prediction of patients with mood disorder by machine learning using automatically recorded digital log data based on circadian rhythm

机译：基于昼夜节律的自动记录数字日志数据，机器学习患者情绪障碍患者情绪状态和情节预测

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来源
《Bipolar disorders.》 |2018年第1期|共1页
作者
Cho C. H.;
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Korea Univ Anam Hosp Psychiat Seoul South Korea;

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正文语种 eng
中图分类神经病学与精神病学;
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1. Mood state and episode prediction of patients with mood disorder by machine learning using automatically recorded digital log data based on circadian rhythm [J] . Cho C. H. Bipolar disorders. . 2018,第Suppla1期

机译：基于昼夜节律的自动记录数字日志数据，机器学习患者情绪障碍患者情绪状态和情节预测
2. CIRCADIAN RHYTHM SLEEP-WAKE DISORDERS PREDICT SHORTER TIME TO RELAPSE OF MOOD EPISODES IN EUTHYMIC PATIENTS WITH BIPOLAR DISORDER: A PROSPECTIVE 48-WEEK STUDY [J] . Takaesu Y., Inoue Y., Ono K., Sleep medicine . 2017,第期

机译：昼夜节律睡眠障碍预测患有双相障碍患者的心情发作的较短时间：一个未来的48周的研究
3. Circadian rhythm sleep-wake disorders as predictors for bipolar disorder in patients with remitted mood disorders [J] . Takaesu Yoshikazu, Inoue Yuichi, Ono Kotaro, Journal of affective disorders . 2017,第期

机译：昼夜节律睡眠障碍作为患有情绪障碍患者双相情感障碍的预测因子
4. EVIDENCE-BASED RESEARCH AND APPLICATIONS OF A THERAPEUTIC LIGHTING SYSTEM ON CIRCADIAN RHYTHM AND MOOD REGULATION FOR CHINESE PATIENTS [C] . Hao L.X., Cao Y.X. Session of the CIE . 2019

机译：昼夜节律和情绪调节治疗照明系统的基于证据的研究和应用
5. Machine Learning Prediction of Mood Disorders with Imbalanced Gene Expression Data [D] . Huang, Youpeng. 2018

机译：患有基因表达数据的情绪障碍机器学习预测
6. Circadian Rhythm Characteristics in Mood Disorders: Comparison among Bipolar I Disorder Bipolar II Disorder and Recurrent Major Depressive Disorder [O] . Jae Kyung Chung, Kyu Young Lee, Se Hyun Kim, 2012

机译：情绪障碍的昼夜节律特征：双相性I型障碍双相性II型障碍和复发性重度抑郁症之间的比较
7. Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study (Preprint) [O] . Chul-Hyun Cho, Taek Lee, Min-Gwan Kim, 2018

机译：基于昼夜节律的无源数字表型机器学习患者情绪障碍患者的情绪预测：前瞻性观察队列研究（预印）

Mood state and episode prediction of patients with mood disorder by machine learning using automatically recorded digital log data based on circadian rhythm

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