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Development and Validation of Machine Learning-based Model for the Prediction of Malignancy in Multiple Pulmonary Nodules: Analysis from Multicentric Cohorts.

Kezhong ChenYuntao NieSamina ParkKai ZhangYangming ZhangYuan LiuBengang HuiLixin ZhouXun WangQingyi QiHao LiGuannan KangYuqing HuangYingtai ChenJiabao LiuJian CuiMingru LiIn Kyu ParkChang Hyun KangHaifeng ShenYingshun YangTian GuanYaxiao ZhangFan YangYoung Tae KimJun Wang
Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2021)
After its development using machine learning algorithms, validation using transnational multicentric cohorts, and prospective comparison with clinicians and the CADx system, this novel prediction model for MPNs presented solid performance as a convenient reference to help decision-making.
Keyphrases
  • machine learning
  • decision making
  • pulmonary hypertension
  • deep learning
  • palliative care
  • big data