Explainable Machine Learning Solution for Observing Optimal Surgery Timings in Thoracic Cancer Diagnosis
In this paper, we introduce an AI-based procedure to estimate and assist in choosing the optimal surgery timing, in the case of a thoracic cancer diagnostic, based on an explainable machine learning model trained on a knowledge base. This decision is usually taken by the surgeon after examining a se...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/13/6506 |