Fig. 1: Overview of the data composition and explainable AI (xAI)-based workflow for decoding treatment outcomes. | Nature Cancer

Fig. 1: Overview of the data composition and explainable AI (xAI)-based workflow for decoding treatment outcomes.

From: Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence

Fig. 1

Following the collection of multimodal pan-cancer data, each patient’s risk score is predicted by deep learning and enables patient stratification. xAI then decomposes the patient risk into the individual contributions of each marker. This enables treatment guidance at the patient and cohort level. The numbers in parentheses indicate the number of variables for each data type.

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