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    Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks

    Open tillgång 01.12.2024 | Research

    verfasst von: G. S. Pradeep Ghantasala, Kumar Dilip, Pellakuri Vidyullatha, Sarah Allabun, Mohammed S. Alqahtani, Manal Othman, Mohamed Abbas, Ben Othman Soufiene

    Erschienen in: BMC Medical Informatics and Decision Making | Ausgabe 1/2024

    Abstract

    Ovarian cancer is a formidable health challenge that demands accurate and timely survival predictions to guide clinical interventions. Existing methods, while commendable, suffer from limitations in harnessing the temporal evolution of patient data and capturing intricate interdependencies among different information elements. In this paper, we present a novel methodology which combines Temporal Analysis and Graph Neural Networks (GNNs) to significantly enhance ovarian cancer survival rate predictions. The shortcomings of current processes originate from their disability to correctly seize the complex interac

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    Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks

    • Research
    • Open access
    • Published:

    BMC Medical Informatics and Decision Makingvolume 24, Article number: 299 (2024) Cite this article

    Abstract

    Ovarian cancer is a formidable health challenge that demands accurate and timely survival predictions to guide clinical interventions. Existing methods, while commendable, suffer from limitations in harnessing the temporal evolution of patient data and capturing intricate interdependencies among different data elements. In this paper, we present a novel methodology which combines Temporal Analysis and Graph Neural Networks (GNNs) to significantly enhance ovarian cancer survival rate predictions. The shortcomings of current processes originate from their disability to correctly seize the complex interactions amongst diverse scientific information units in addition to the dynamic modifications that arise in a affected person`s nation over

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    Co-authors

    • Sandeep Kumar SatapathyDepartment of Computer Science, Yonsei University, Seoul, South KoreaVerified email at yonsei.ac.kr
    • Dr. Hrudaya Kumar TripathyProfessor, School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, INDIAVerified email at kiit.ac.in
    • Shruti MishraAssistant Prof. Sr -II. School of Comp. Sc. & Engg., Vellore Institute of Technology, ChennaiVerified email at vit.ac.in
    • Prayag TiwariAssociate Professor, Halmstad University, SwedenVerified email at hh.se
    • Manoj Kumar NALLAPANENICity University of Hong Kong - School of Energy and EnvironmentVerified email at cityu.edu.hk
    • Dr. Lambodar JenaSiksha 'O' Anusandhan (Deemed to be University), Bhubaneswar,Odisha, IndiaVeri