A secure and light‐weight patient survival prediction in Internet of Medical Things framework
Shubh Mittal,
Tisha Chawla,
Saifur Rahman
et al.
Abstract:SummaryThoracic surgeries in major lung resections for primary lung cancer are fraught with potential risks, emphasising the need to understand factors contributing to postoperative mortality. This study investigates the interplay of objective and subjective data in predicting postoperative outcomes to reduce data transmission costs in the Internet of Medical Things (IoMT). Objective metrics, such as forced vital capacity (FVC), offer consistent, quantifiable insights essential for predictive modelling. Conver… Show more
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