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Prakrithi Shivaprakash

Biographic Data

ID9639865
NAMEPrakrithi Shivaprakash
GIVEN NAMESPrakrithi
FAMILY NAMEShivaprakash
SIGNATURESHIVAPRAKASH P
AFFILIATIONSNational Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, Karnataka, India.
ORCID0000-0001-8761-7908
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Integrating Lived Experience Perspectives in AI-based Mental Health Research

    Open Access•Deepak S Ghadigaonkar, Diptadhi Mukherjee et al.•ARTICLE•Indian Journal of Psychological…•2026

    The embedding of lived experience experts (LEEs) is increasingly recognized as important in research, but evidence from low- and middle-income countries (LMIC) remains sparse. This viewpoint aims to present and critically reflect on a model for integrating LEEs into the design of an artificial intelligence (AI)-based mental health (MH) study to develop an automated depression screening system in India. We report on the process of forming a divers…

  • Language Models for Standardising Clinical Notes and Information Extraction in Addiction Psychiatry—An Empirical Study

    Open Access•Haritha Gireesh, Lekhansh Shukla et al.•ARTICLE•Drug and Alcohol Review•2026

No prominent works on this page.

  • Integrating Lived Experience Perspectives in AI-based Mental Health Research

    Open Access•Deepak S Ghadigaonkar, Diptadhi Mukherjee et al.•ARTICLE•Indian Journal of Psychological…•2026

    The embedding of lived experience experts (LEEs) is increasingly recognized as important in research, but evidence from low- and middle-income countries (LMIC) remains sparse. This viewpoint aims to present and critically reflect on a model for integrating LEEs into the design of an artificial intelligence (AI)-based mental health (MH) study to develop an automated depression screening system in India. We report on the process of forming a divers…

  • Language Models for Standardising Clinical Notes and Information Extraction in Addiction Psychiatry—An Empirical Study

    Open Access•Haritha Gireesh, Lekhansh Shukla et al.•ARTICLE•Drug and Alcohol Review•2026

Addiction (1 work) · Bespoke (1 work) · Biomedical Text Mining and Ontologies (1 work) · Culturally appropriate (1 work) · Digital Mental Health Interventions (1 work) · Documentation (1 work) · Electronic Health Records Systems (1 work) · Empirical research (1 work) · General partnership (1 work) · Global mental health (1 work)

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