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Ishan Aggarwal

Biographic Data

ID1905394
NAMEIshan Aggarwal
GIVEN NAMESIshan
FAMILY NAMEAggarwal
SIGNATUREAGGARWAL I
AFFILIATIONSAugusta University
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Effects of education level on natural language processing in cardiovascular health communication

    Open Access•Stanley Joseph, Ashna Bhardwaj et al.•ARTICLE•Frontiers in Public Health•2025

    Introduction Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, underscoring the importance of accessible health communication. Artificial intelligence (AI) tools such as ChatGPT and MediSearch have potential to bridge knowledge gaps, but their effectiveness depends on both accuracy and readability. This study evaluated how natural language processing (NLP) models respond to CVD-related questions across different educa…

  • Identification of affective valence of Twitter generated sentiments during the Covid-19 outbreak

    Open Access•Ruchi Mittal, A Mittal et al.•ARTICLE•Social Network Analysis and Mining•2021•Cited by: 1•References: 77

  • Identification of affective valence of Twitter generated sentiments during the Covid-19 outbreak

    Open Access•Ruchi Mittal, A Mittal et al.•ARTICLE•Social Network Analysis and Mining•2021•Cited by: 1•References: 77

  • Identification of affective valence of Twitter generated sentiments during the Covid-19 outbreak

    Open Access•Ruchi Mittal, A Mittal et al.•ARTICLE•Social Network Analysis and Mining•2021•Cited by: 1•References: 77

  • Effects of education level on natural language processing in cardiovascular health communication

    Open Access•Stanley Joseph, Ashna Bhardwaj et al.•ARTICLE•Frontiers in Public Health•2025

    Introduction Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, underscoring the importance of accessible health communication. Artificial intelligence (AI) tools such as ChatGPT and MediSearch have potential to bridge knowledge gaps, but their effectiveness depends on both accuracy and readability. This study evaluated how natural language processing (NLP) models respond to CVD-related questions across different educa…

2019-20 coronavirus outbreak (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Cardiovascular health (1 work) · Chemistry (1 work) · Computer Science (1 work) · Data-Driven Disease Surveillance (1 work) · Disease (1 work) · Health communication (1 work) · Health education (1 work) · Medicine (1 work)

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