Recalibrating Risk Prediction Models by Synthesizing Data Sources: Adapting the Lung Cancer PLCO Model for Taiwan.

Li-Hsin Chien Tzu-Yu Chen Chung-Hsing Chen Kuan-Yu Chen Chin-Fu Hsiao Gee-Chen Chang Ying-Huang Tsai Wu-Chou Su Ming-Shyang Huang Yuh-Ming Chen Chih-Yi Chen Sheng-Kai Liang Chung-Hsing Chen Chih-Liang Wang Hsiao-Han Hung Hsin-Fang Jiang Jia-Wei Hu Nathaniel Rothman Qing Lan Tsang-Wu Liu Chien-Jen Chen Pan-Chyr Yang I-Shou Chang Chao Agnes Hsiung

Published in: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology (2022)

The PLCOT models could be used to design lung cancer screening programs in Taiwan. The methods could be applicable to other cancer models.

Keyphrases

public health
papillary thyroid
squamous cell carcinoma
big data
machine learning
young adults
squamous cell
artificial intelligence
childhood cancer