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Literature DB >> 29807804

Machine learning improved classification of psychoses using clinical and biological stratification: Update from the bipolar-schizophrenia network for intermediate phenotypes (B-SNIP).

Suraj Sarvode Mothi¹, Mukund Sudarshan², Neeraj Tandon³, Carol Tamminga⁴, Godfrey Pearlson⁵, John Sweeney⁶, Brett Clementz⁷, Matcheri S Keshavan⁸.

Abstract

Entities: Disease

Year: 2018 PMID： 29807804 DOI： 10.1016/j.schres.2018.04.037

Source DB: PubMed Journal: Schizophr Res ISSN： 0920-9964 Impact factor: 4.939

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8 in total

Review 1. [Brain imaging in schizophrenia : A review of current trends and developments].

Authors: Igor Nenadić
Journal: Nervenarzt Date: 2020-01 Impact factor: 1.214

2. Simultaneous clustering and variable selection: A novel algorithm and model selection procedure.

Authors: Shuai Yuan; Kim De Roover; Katrijn Van Deun
Journal: Behav Res Methods Date: 2022-09-09

3. Real-time facial emotion recognition deficits across the psychosis spectrum: A B-SNIP Study.

Authors: Leah H Rubin; Jiaxu Han; Jennifer M Coughlin; S Kristian Hill; Jeffrey R Bishop; Carol A Tamminga; Brett A Clementz; Godfrey D Pearlson; Matcheri S Keshavan; Elliot S Gershon; Keri J Heilman; Stephen W Porges; John A Sweeney; Sarah Keedy
Journal: Schizophr Res Date: 2021-12-07 Impact factor: 4.662

4. Subtyping Schizophrenia Patients Based on Patterns of Structural Brain Alterations.

Authors: Yuan Xiao; Wei Liao; Zhiliang Long; Bo Tao; Qiannan Zhao; Chunyan Luo; Carol A Tamminga; Matcheri S Keshavan; Godfrey D Pearlson; Brett A Clementz; Elliot S Gershon; Elena I Ivleva; Sarah K Keedy; Bharat B Biswal; Andrea Mechelli; Rebekka Lencer; John A Sweeney; Su Lui; Qiyong Gong
Journal: Schizophr Bull Date: 2022-01-21 Impact factor: 7.348

Machine learning improved classification of psychoses using clinical and biological stratification: Update from the bipolar-schizophrenia network for intermediate phenotypes (B-SNIP).

Review 1. [Brain imaging in schizophrenia : A review of current trends and developments].

2. Simultaneous clustering and variable selection: A novel algorithm and model selection procedure.

3. Real-time facial emotion recognition deficits across the psychosis spectrum: A B-SNIP Study.

4. Subtyping Schizophrenia Patients Based on Patterns of Structural Brain Alterations.

5. Development and Feasibility Study of an Addiction-Focused Phenotyping Assessment Battery.

Review 6. The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review.

7. Immune System Abnormalities in Schizophrenia: An Integrative View and Translational Perspectives.

Review 8. Use of Social Media Data to Diagnose and Monitor Psychotic Disorders: Systematic Review.