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AI/ML in healthcare: leveraging embeddings for patient diagnosis and treatment optimization

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dc.contributor.author Malhotra, Chehak
dc.contributor.author Gopal, Mehak
dc.contributor.author Sethi, Tavpritesh (Advisor)
dc.date.accessioned 2026-06-17T10:39:57Z
dc.date.available 2026-06-17T10:39:57Z
dc.date.issued 2024-01
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/1989
dc.description.abstract This study encapsulates our progress in the integration of advanced AI models within healthcare contexts. Utilizing state-of-the-art models for new tasks, we explore their efficacy in tasks like cancer classification and shock prediction using data from clinical notes and prescriptions. Our study underscores the potential of AI to revolutionize healthcare practices and improve patient outcomes. en_US
dc.language.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject Patient Diagnosis en_US
dc.subject Cancer classification en_US
dc.subject AI in Healthcare en_US
dc.title AI/ML in healthcare: leveraging embeddings for patient diagnosis and treatment optimization en_US
dc.type Other en_US


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