The efficacy of a machine learning algorithm for assessing tumour components as a prognostic marker of surgically resected stage IA lung adenocarcinoma.

Yukihiro TeradaMitsuhiro IsakaTakuya KawataKiyomichi MizunoKoji MuramatsuShinya KatsumataHayato KonnoToshiyuki NagataTetsuya MizunoMasakuni SerizawaAkira OnoTakashi SuginoKimihiro ShimizuYasuhisa Ohde

Published in: Japanese journal of clinical oncology (2022)

We assessed tumour components using a machine learning algorithm to stratify the post-operative prognosis of surgically resected stage IA adenocarcinomas. This method might guide the selection of patients with a high risk of recurrence.

Keyphrases

machine learning
artificial intelligence
lymph node
big data
deep learning
prognostic factors