Hasil Pencarian - Jayanth Raghothama

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  1. 1
    Disentangling the complexity of India ’s agricultural sector

    Disentangling the complexity of India ’s agricultural sector oleh Jayanth Raghothama, Sebastiaan Meijer, Robin King

    Diterbitkan 2012-06-01
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  2. 2
    Curating Player Experience Through Simulations in City Games

    Curating Player Experience Through Simulations in City Games oleh Jayanth Raghothama, Jannicke Baalsrud Hauge, Sebastiaan Meijer

    Diterbitkan 2022-06-01
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  3. 3
    Tensions between real-world practices and the digitalization paradigm for data-driven services in eldercare: observations from an ethnographic study in Sweden

    Tensions between real-world practices and the digitalization paradigm for data-driven services in eldercare: observations from an ethnographic study in Sweden oleh Mikaela Hellstrand, Maksims Kornevs, Jayanth Raghothama, Sebastiaan Meijer

    Diterbitkan 2024-01-01
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  4. 4
    Investigating the Connections Between Delivery of Care, Reablement, Workload, and Organizational Factors in Home Care Services: Mixed Methods Study

    Investigating the Connections Between Delivery of Care, Reablement, Workload, and Organizational Factors in Home Care Services: Mixed Methods Study oleh Adam S Darwich, Anne-Marie Boström, Susanne Guidetti, Jayanth Raghothama, Sebastiaan Meijer

    Diterbitkan 2023-06-01
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  5. 5
    Exploring the discrepancies between clinical trials and real‐world data: A small‐cell lung cancer study

    Exploring the discrepancies between clinical trials and real‐world data: A small‐cell lung cancer study oleh Luca Marzano, Adam S. Darwich, Asaf Dan, Salomon Tendler, Rolf Lewensohn, Luigi De Petris, Jayanth Raghothama, Sebastiaan Meijer

    Diterbitkan 2024-08-01
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  6. 6
    A novel analytical framework for risk stratification of real‐world data using machine learning: A small cell lung cancer study

    A novel analytical framework for risk stratification of real‐world data using machine learning: A small cell lung cancer study oleh Luca Marzano, Adam S. Darwich, Salomon Tendler, Asaf Dan, Rolf Lewensohn, Luigi De Petris, Jayanth Raghothama, Sebastiaan Meijer

    Diterbitkan 2022-10-01
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  7. 7
    FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data—Study protocol of a multicenter trial

    FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data—Study protocol of a multicenter trial oleh Dora B. Balogh, Gernot Hudelist, Dmitrijs Bļizņuks, Jayanth Raghothama, Christian M. Becker, Roman Horace, Harald Krentel, Andrew W. Horne, Nicolas Bourdel, Gabriella Marki, Carla Tomassetti, Ulrik Bak Kirk, Nandor Acs, Attila Bokor

    Diterbitkan 2024-01-01
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  8. 8
    FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data-Study protocol of a multicenter trial.

    FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data-Study protocol of a multicenter trial. oleh Dora B Balogh, Gernot Hudelist, Dmitrijs Bļizņuks, Jayanth Raghothama, Christian M Becker, Roman Horace, Harald Krentel, Andrew W Horne, Nicolas Bourdel, Gabriella Marki, Carla Tomassetti, Ulrik Bak Kirk, Nandor Acs, Attila Bokor

    Diterbitkan 2024-01-01
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