Multi-disease risk screening model
MAUK R&D · applied machine learning
Risk scores for ten conditions from 25 routine measurements, trained on 281,000 records and private enough to run on the patient's own device.
- Ten conditions scored at once, each with a confidence figure
- 25 inputs across demographics, vital signs, lab results and lifestyle
- Five ready-made patient profiles for quick testing
86.88%accuracy on patient records the model never saw
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