What's New

Last Posted: Mar 05, 2024

• Major Depressive Disorder Prediction Based on Sleep-Wake Disorders Symptoms in US Adolescents: A Machine Learning Approach from National Sleep Research Resource.
  Jingsong Luo et al. Psychol Res Behav Manag 2024 17691-703
• Automatic Detection of Chronic Insomnia from Polysomnographic and Clinical Variables Using Machine Learning.
  Umaer Hanif et al. Annu Int Conf IEEE Eng Med Biol Soc 2023 20231-5
• General v. specific vulnerabilities: polygenic risk scores and higher-order psychopathology dimensions in the Adolescent Brain Cognitive Development (ABCD) Study.
  Monika A Waszczuk et al. Psychol Med 2023 53(5) 1937-1946
• Digital cognitive behavioral therapy for insomnia on depression and anxiety: a systematic review and meta-analysis
  S Lee et al, NPJ Digital Medicine, March 25, 2023
• Exploring digital biomarkers of illness activity in mood episodes: hypotheses generating and model development study.
  Gerard Anmella et al. JMIR mHealth and uHealth 2023
• Initial antidepressant choice by non-psychiatrists: Learning from large-scale electronic health records.
  Yi-Han Sheu et al. General hospital psychiatry 2023 8122-31
• Sleep disturbance as a transdiagnostic marker of psychiatric risk in children with neurodevelopmental risk genetic conditions.
  Chawner Samuel J R A et al. Translational psychiatry 2023 13(1) 7
• A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson's Disease: Past Studies and Future Perspectives.
  Rana Arti et al. Diagnostics (Basel, Switzerland) 2022 12(11)
• Ethics of digital therapeutics (DTx).
  Refolo P et al. European review for medical and pharmacological sciences 2022 26(18) 6418-6423
• Causal Association of Cardiovascular Risk Factors and Lifestyle Behaviors With Peripheral Artery Disease: A Mendelian Randomization Approach.
  Hoek Anna G et al. Journal of the American Heart Association 2022 e025644
• Genetic counseling for prion disease: Updates and best practices.
  Goldman Jill S et al. Genetics in medicine : official journal of the American College of Medical Genetics 2022
• Genetic counseling for prion disease: Updates and best practice
  JS Goldman, et al, Genetics in Medicine, July 12, 2022
• Estimation of the number of inherited prion disease mutation carriers in the UK.
  Corbie Rosie et al. European journal of human genetics : EJHG 2022
• Using machine learning to predict health-related quality of life outcomes in patients with low grade glioma, meningioma, and acoustic neuroma.
  Karri Roshan et al. PloS one 2022 17(5) e0267931
• Burden of disease, treatment utilization, and the impact on education and employment in patients with sickle cell disease: A comparative analysis of high- and low- to middle-income countries for the international Sickle Cell World Assessment Survey (SWAY).
  Osunkwo Ifeyinwa et al. American journal of hematology 2022
• Predicting non-response to multimodal day clinic treatment in severely impaired depressed patients: a machine learning approach.
  Vetter Johannes Simon et al. Scientific reports 2022 12(1) 5455
• Utilizing Big Data From Google Trends to Map Population Depression in the United States: Exploratory Infodemiology Study.
  Wang Alex et al. JMIR mental health 2022 9(3) e35253
• Comorbid insomnia among breast cancer survivors and its prediction using machine learning: a nationwide study in Japan.
  Ueno Taro et al. Japanese journal of clinical oncology 2021
• Exploratory Data Mining Techniques (Decision Tree Models) for Examining the Impact of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Machine Learning Approach.
  Rodrigo Hansapani et al. Journal of medical Internet research 2021 23(11) e28999
• Factors to improve distress and fatigue in Cancer survivorship; further understanding through text analysis of interviews by machine learning.
  Yang Kyungmi et al. BMC cancer 2021 21(1) 741

More