Literature DB >> 26772057

Big data analytics and machine learning: 2015 and beyond.

Ives Cavalcante Passos1, Benson Mwangi2, Flávio Kapczinski3.   

Abstract

Mesh:

Year:  2016        PMID: 26772057     DOI: 10.1016/S2215-0366(15)00549-0

Source DB:  PubMed          Journal:  Lancet Psychiatry        ISSN: 2215-0366            Impact factor:   27.083


× No keyword cloud information.
  22 in total

1.  Using a machine learning algorithm to predict acute graft-versus-host disease following allogeneic transplantation.

Authors:  Yasuyuki Arai; Tadakazu Kondo; Kyoko Fuse; Yasuhiko Shibasaki; Masayoshi Masuko; Junichi Sugita; Takanori Teshima; Naoyuki Uchida; Takahiro Fukuda; Kazuhiko Kakihana; Yukiyasu Ozawa; Tetsuya Eto; Masatsugu Tanaka; Kazuhiro Ikegame; Takehiko Mori; Koji Iwato; Tatsuo Ichinohe; Yoshinobu Kanda; Yoshiko Atsuta
Journal:  Blood Adv       Date:  2019-11-26

2.  Neural Predictors of Initiating Alcohol Use During Adolescence.

Authors:  Lindsay M Squeglia; Tali M Ball; Joanna Jacobus; Ty Brumback; Benjamin S McKenna; Tam T Nguyen-Louie; Scott F Sorg; Martin P Paulus; Susan F Tapert
Journal:  Am J Psychiatry       Date:  2016-08-19       Impact factor: 18.112

3.  Combining S100B and Cytokines as Neuro-Inflammatory Biomarkers for Diagnosing Generalized Anxiety Disorder: A Proof-of-Concept Study Based on Machine Learning.

Authors:  Zhongxia Shen; Lijun Cui; Shaoqi Mou; Lie Ren; Yonggui Yuan; Xinhua Shen; Gang Li
Journal:  Front Psychiatry       Date:  2022-06-22       Impact factor: 5.435

4.  Deep Learning Analysis of Cerebral Blood Flow to Identify Cognitive Impairment and Frailty in Persons Living With HIV.

Authors:  Patrick Luckett; Robert H Paul; Jaimie Navid; Sarah A Cooley; Julie K Wisch; Anna H Boerwinkle; Dimitre Tomov; Beau M Ances
Journal:  J Acquir Immune Defic Syndr       Date:  2019-12-15       Impact factor: 3.731

5.  Modeling autosomal dominant Alzheimer's disease with machine learning.

Authors:  Patrick H Luckett; Austin McCullough; Brian A Gordon; Jeremy Strain; Shaney Flores; Aylin Dincer; John McCarthy; Todd Kuffner; Ari Stern; Karin L Meeker; Sarah B Berman; Jasmeer P Chhatwal; Carlos Cruchaga; Anne M Fagan; Martin R Farlow; Nick C Fox; Mathias Jucker; Johannes Levin; Colin L Masters; Hiroshi Mori; James M Noble; Stephen Salloway; Peter R Schofield; Adam M Brickman; William S Brooks; David M Cash; Michael J Fulham; Bernardino Ghetti; Clifford R Jack; Jonathan Vöglein; William Klunk; Robert Koeppe; Hwamee Oh; Yi Su; Michael Weiner; Qing Wang; Laura Swisher; Dan Marcus; Deborah Koudelis; Nelly Joseph-Mathurin; Lisa Cash; Russ Hornbeck; Chengjie Xiong; Richard J Perrin; Celeste M Karch; Jason Hassenstab; Eric McDade; John C Morris; Tammie L S Benzinger; Randall J Bateman; Beau M Ances
Journal:  Alzheimers Dement       Date:  2021-01-21       Impact factor: 16.655

6.  Transitioning to a Data Driven Mental Health Practice: Collaborative Expert Sessions for Knowledge and Hypothesis Finding.

Authors:  Vincent Menger; Marco Spruit; Karin Hagoort; Floor Scheepers
Journal:  Comput Math Methods Med       Date:  2016-08-17       Impact factor: 2.238

7.  Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample.

Authors:  Joanna F Dipnall; Julie A Pasco; Michael Berk; Lana J Williams; Seetal Dodd; Felice N Jacka; Denny Meyer
Journal:  PLoS One       Date:  2016-12-09       Impact factor: 3.240

8.  Digital footprints: facilitating large-scale environmental psychiatric research in naturalistic settings through data from everyday technologies.

Authors:  N Bidargaddi; P Musiat; V-P Makinen; M Ermes; G Schrader; J Licinio
Journal:  Mol Psychiatry       Date:  2016-12-06       Impact factor: 15.992

9.  Machine learning applications for prediction of relapse in childhood acute lymphoblastic leukemia.

Authors:  Liyan Pan; Guangjian Liu; Fangqin Lin; Shuling Zhong; Huimin Xia; Xin Sun; Huiying Liang
Journal:  Sci Rep       Date:  2017-08-07       Impact factor: 4.379

10.  Hippocampal subfield volumes in mood disorders.

Authors:  B Cao; I C Passos; B Mwangi; H Amaral-Silva; J Tannous; M-J Wu; G B Zunta-Soares; J C Soares
Journal:  Mol Psychiatry       Date:  2017-01-24       Impact factor: 15.992

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.