Development and validation of a breast cancer risk prediction model for thai women: A cross-sectional study

• Main Authors: Thunyarat Anothaisintawee, Yot Teerawattananon, Cholatip Wiratkapun, Jiraporn Srinakarin, Piyanoot Woodtichartpreecha, Siriporn Hirunpat, Sansanee Wongwaisayawan, Panuwat Lertsithichai, Vijj Kasamesup, Ammarin Thakkinstian
• Other Authors: Mahidol University
• Format: Article
• Published: 2018
• Subjects: Biochemistry, Genetics and Molecular Biology; Medicine
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/33497

Background: Breast cancer risk prediction models are widely used in clinical practice. They should be useful in identifying high risk women for screening in limited-resource countries. However, previous models showed poor performance in derived and validated settings. Therefore, we aimed to develop...