Manufacturing Industry
Survival Prediction in Oncology
Manufacturing Industry
Survival Prediction in Oncology
Business Case
Personalised treatment in oncology requires tools that estimate patient survival.
Objetivos
Build models to predict survival probabilities and support clinical decision-making.
Use case
Casos de Uso
Infraestructura
On Premise;
Tecnologías utilizadas
Tecnologías utilizadas
Datos utilizados
Clinical records, laboratory results, treatment history.
imagen
imagen
Recursos utilizados
Clinical oncologists, data analysts.
Dificultades y aprendizaje
Data completeness and model explainability.
KPIs (impacto en el negocio y métricas del modelo)
Model performance in ROC AUC and impact in pilot clinics.
Financiación
Financiación
Colaboradores
University of Cincinnati (USA), KEDRI (Auckland University of Technology, New Zealand)
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