Benson Mwangi
researcher
Facts
7 properties- Instance of
- human
- Date of birth
- 2000
- Occupation
- researcher
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Benson Mwangi
en Irungu
🔖 Identifiers · 5
- ORCID iD
- 0000-0002-1717-4395
- OpenAlex ID
- A5032357963, A5122856588as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 138/3490
- Loop ID
- 52118
- Scopus author ID
- 54397277500
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 6
Big data analytics and machine learning: 2015 and beyond,
Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning,
Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning,
Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures,
Multi-Site Meta-Analysis of Morphometry,
Predictive classification of pediatric bipolar disorder using atlas-based diffusion weighted imaging and support vector machines
← Authored by 6
Big data analytics and machine learning: 2015 and beyond,
Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning,
Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning,
Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures,
Multi-Site Meta-Analysis of Morphometry,
Predictive classification of pediatric bipolar disorder using atlas-based diffusion weighted imaging and support vector machines
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