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310P Development and validation of AI models to predict grade ≥3 chemotherapy toxicities in solid tumors: Retrospective study at tertiary care centre India
0
Zitationen
5
Autoren
2025
Jahr
Abstract
Grade ≥3 chemotherapy-related toxicities, including neutropenia and mucositis, frequently result in treatment delays, hospitalizations, and adverse outcomes. Predictive analytics leveraging electronic health record (EHR) data may help identify high-risk patients early and enable proactive supportive care. We aimed to develop and validate AI models to predict severe toxicities in patients receiving chemotherapy at a tertiary cancer center in India.
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