This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1147) Bipolar Disorders (55) Depression and Mood Disorders; Suicide Prevention (1290) Psychotic Disorders (157)

Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14278, first published .
Critical Predictors for the Early Detection of Conversion From Unipolar Major Depressive Disorder to Bipolar Disorder: Nationwide Population-Based Retrospective Cohort Study

Critical Predictors for the Early Detection of Conversion From Unipolar Major Depressive Disorder to Bipolar Disorder: Nationwide Population-Based Retrospective Cohort Study

Critical Predictors for the Early Detection of Conversion From Unipolar Major Depressive Disorder to Bipolar Disorder: Nationwide Population-Based Retrospective Cohort Study

Authors of this article:

Ya-Han Hu1, 2, 3 Author Orcid Image ;   Kuanchin Chen4 Author Orcid Image ;   I-Chiu Chang5 Author Orcid Image ;   Cheng-Che Shen5, 6, 7 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

Journals

  1. Fang Y, Wu T, Lai J, Lin C, Tien N, Lim Y, Abbara A. Association between Depression, Antidepression Medications, and the Risk of Developing Type 2 Diabetes Mellitus: A Nationwide Population-Based Retrospective Cohort Study in Taiwan. BioMed Research International 2021;2021:1 View
  2. Suen P, Goerigk S, Razza L, Padberg F, Passos I, Brunoni A. Classification of unipolar and bipolar depression using machine learning techniques. Psychiatry Research 2021;295:113624 View
  3. Huang Y, Li S, Chen M, Lee T, Chien Y. Machine-Learning Techniques for Feature Selection and Prediction of Mortality in Elderly CABG Patients. Healthcare 2021;9(5):547 View
  4. Nestsiarovich A, Reps J, Matheny M, DuVall S, Lynch K, Beaton M, Jiang X, Spotnitz M, Pfohl S, Shah N, Torre C, Reich C, Lee D, Son S, You S, Park R, Ryan P, Lambert C. Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study. Translational Psychiatry 2021;11(1) View
  5. Huang Y, Chen K, Li S, Liu C, Lin Y, Chen M. Implementing an Ensemble Learning Model with Feature Selection to Predict Mortality among Patients Who Underwent Three-Vessel Percutaneous Coronary Intervention. Applied Sciences 2022;12(16):8135 View
  6. Xu Z, Chen L, Hu Y, Shen T, Chen Z, Tan T, Gao C, Chen S, Chen W, Chen B, Yuan Y, Zhang Z. A Predictive Model of Risk Factors for Conversion From Major Depressive Disorder to Bipolar Disorder Based on Clinical Characteristics and Circadian Rhythm Gene Polymorphisms. Frontiers in Psychiatry 2022;13 View
  7. Hu Y, Hung J, Hu L, Huang S, Shen C, Ng Q. An analysis of Chinese nursing electronic medical records to predict violence in psychiatric inpatients using text mining and machine learning techniques. PLOS ONE 2023;18(6):e0286347 View
  8. Huang Y, Ho C, Chou W, Chen M. A framework to predict second primary lung cancer patients by using ensemble models. Annals of Operations Research 2023 View
  9. Fujimura T, Taira D, Uchida Y, Takahashi K, Yamasuji K, Shimizu K, Nagai Y, Yoshinari N, Hirata T, Fujimoto K, Kurosawa Y, Yasuda S, Yoshikawa A, Takeshita Y, Ito M, Kakiuchi C, Kato T. Factors associated with self-perceived treatment-resistance in bipolar disorder. Medicine 2024;103(1):e36217 View