An AI tool that uses detailed information from nearly all countries in the world has identified bespoke, national policy areas that could offer the greatest benefits in improving cancer survival.
The Global Health Predictor Insights Tool has been made freely available online and could help governments plan their cancer healthcare systems more effectively.
The novel approach, published in the in the Annals of Oncology, could help prioritize resources to close survival gaps in the most equitable and effective way.
The resulting machine-learning model created mortality-to-incidence ratios (MIR) that reflected the proportion of cancer cases ending in death and provided an indicator for the effectiveness of cancer care.
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