Prediction of Cancer Patient Outcomes Based on Artificial Intelligence
Author | : Suk Lee |
Publisher | : |
Total Pages | : 0 |
Release | : 2019 |
ISBN-10 | : OCLC:1392067369 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Prediction of Cancer Patient Outcomes Based on Artificial Intelligence written by Suk Lee and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-based outcome predictions are common before radiotherapy. Because there are various treatment techniques, numerous factors must be considered in predicting cancer patient outcomes. As expectations surrounding personalized radiotherapy using complex data have increased, studies on outcome predictions using artificial intelligence have also increased. Representative artificial intelligence techniques used to predict the outcomes of cancer patients in the field of radiation oncology include collecting and processing big data, text mining of clinical literature, and machine learning for implementing prediction models. Here, methods of data preparation and model construction to predict rates of survival and toxicity using artificial intelligence are described.