Automated real-world data integration improves cancer outcome prediction - Jee, Justin; Fong, Christopher; Pichotta, Karl; Tran, Thinh Ngoc; Luthra, Anisha; Waters, Michele; Fu, Chenlian; Altoe, Mirella; Liu, Si-Yang; Maron, Steven B.; Ahmed, Mehnaj; Kim, Susie; et al. (Nature (London), 2024)
Keywords: 45/23; 692/308/575; 692/699/67; Accuracy; Adenocarcinoma; Annotations; Automation; Cancer; Cancer therapies; Data integration; Datasets; Datasets as Topic; DNA sequencing; Electronic Health Records; Female; Gene sequencing; Genomics; Histopathology; Humanities and Social Sciences; Humans; Immunotherapy; Lung cancer; Lungs; Machine Learning; Male; Medical research; Metastases; Metastasis; Models, Biological; multidisciplinary; Natural Language Processing; Neoplasm Metastasis - diagnosis; Neoplasms - drug therapy; Neoplasms - genetics; Neoplasms - pathology; Oncology; Patients; Prognosis; Prostate; Radiation; Radiology; Registries; Science; Science (multidisciplinary); Tumors; Unstructured data