BEHRT: Transformer for Electronic Health Records

• Published in: Scientific reports Vol. 10; no. 1; p. 7155
• Main Authors: Li, Yikuan, Rao, Shishir, Solares, José Roberto Ayala, Hassaine, Abdelaali, Ramakrishnan, Rema, Canoy, Dexter, Zhu, Yajie, Rahimi, Kazem, Salimi-Khorshidi, Gholamreza
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 28.04.2020; Nature Publishing Group
• Subjects: 692/308/1426; 692/700/459/1748; Algorithms; Electronic Health Records; Electronic medical records; Health care; Humanities and Social Sciences; Humans; Learning algorithms; Machine Learning; multidisciplinary; Science; Science (multidisciplinary); Transfer learning

Today, despite decades of developments in medicine and the growing interest in precision healthcare, vast majority of diagnoses happen once patients begin to show noticeable signs of illness. Early indication and detection of diseases, however, can provide patients and carers with the chance of earl...