Predicting complete cytoreduction for advanced ovarian cancer patients using nearest-neighbor models.

Alexandros LaiosAlexandros GryparisDiederick DeJongRichard HutsonGeorgios TheophilouChris Leach

Published in: Journal of ovarian research (2020)

The k-NN algorithm is a promising and versatile tool for R0 resection prediction. It slightly outperforms logistic regression and is expected to improve accuracy with data expansion.

Keyphrases

machine learning
electronic health record
deep learning
big data
neural network
data analysis