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HuLP: Human-in-the-Loop for Prognosis
March 21, 2024, 4:45 a.m. | Muhammad Ridzuan, Mai Kassem, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub
cs.CV updates on arXiv.org arxiv.org
Abstract: This paper introduces HuLP, a Human-in-the-Loop for Prognosis model designed to enhance the reliability and interpretability of prognostic models in clinical contexts, especially when faced with the complexities of missing covariates and outcomes. HuLP offers an innovative approach that enables human expert intervention, empowering clinicians to interact with and correct models' predictions, thus fostering collaboration between humans and AI models to produce more accurate prognosis. Additionally, HuLP addresses the challenges of missing data by utilizing …
abstract arxiv clinical clinicians complexities cs.ai cs.cv cs.hc expert human interpretability loop paper reliability type
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