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6 in total

Review 1. Machine learning to detect signatures of disease in liquid biopsies - a user's guide.

Authors: Jina Ko; Steven N Baldassano; Po-Ling Loh; Konrad Kording; Brian Litt; David Issadore
Journal: Lab Chip Date: 2018-01-30 Impact factor: 6.799

Review 2. Clinical Applications of Extracellular Vesicles in the Diagnosis and Treatment of Traumatic Brain Injury.

Authors: Kryshawna Beard; David F Meaney; David Issadore
Journal: J Neurotrauma Date: 2020-06-02 Impact factor: 4.869

3. The feasibility of developing biomarkers from peripheral blood mononuclear cell RNAseq data in children with juvenile idiopathic arthritis using machine learning approaches.

Authors: Kerry E Poppenberg; Kaiyu Jiang; Lu Li; Yijun Sun; Hui Meng; Carol A Wallace; Teresa Hennon; James N Jarvis
Journal: Arthritis Res Ther Date: 2019-11-09 Impact factor: 5.606

4. Chinese College Students Have Higher Anxiety in New Semester of Online Learning During COVID-19: A Machine Learning Approach.

Authors: Chongying Wang; Hong Zhao; Haoran Zhang
Journal: Front Psychol Date: 2020-12-03

5. Potential Biomarkers for Predicting Depression in Diabetes Mellitus.

Authors: Xiuli Song; Qiang Zheng; Rui Zhang; Miye Wang; Wei Deng; Qiang Wang; Wanjun Guo; Tao Li; Xiaohong Ma
Journal: Front Psychiatry Date: 2021-11-29 Impact factor: 4.157

6. Machine-learning approaches in psychotherapy: a promising tool for advancing the understanding of the psychotherapeutic process.

Authors: Pricilla B Laskoski; Fernanda B Serralta; Ives C Passos; Simone Hauck
Journal: Braz J Psychiatry Date: 2019 Nov-Dec Impact factor: 2.697

6 in total