Dataset: 9.3K articles from Wikipedia (CC BY-SA).
More datasets: Wikipedia | CORD-19

Logo Beuth University of Applied Sciences Berlin

Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin

Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)

Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies

Imprint / Contact

Results for Query ‹ Carcinoma in situ of breast and genitourinary system screening

Ductal carcinoma in situ – Diagnosis

Breast cancer – Screening

Bladder cancer – Screening

Bladder cancer – Diagnosis

Transitional cell carcinoma – Diagnosis | Classification

Vulvar cancer – Prognosis

Vulvar cancer – Diagnosis | Staging

Cancer – Screening | Recommendations | U.S. Preventive Services Task Force

Penile cancer – Prognosis

Cancer – Screening | Recommendations | Japan

Carcinoma – Epidemiology

High-grade prostatic intraepithelial neoplasia – Treatment

Invasive carcinoma of no special type – Prognosis

Ductal carcinoma in situ – Prognosis

Lobular carcinoma in situ – Prognosis

Breast cancer – Prevention | Medications

Carcinoma – Diagnosis | Staging

High-grade prostatic intraepithelial neoplasia – Diagnosis

Ureteral cancer – Diagnosis

Atypical ductal hyperplasia – Pathology | Relation to low-grade ductal carcinoma in situ

Uterine serous carcinoma – Prognosis

Penile cancer – Treatment

Uterine serous carcinoma – Prognosis | Survival

Atypical ductal hyperplasia – Prognosis | Cancer risk for ADH on a core biopsy

Lobular carcinoma in situ – Treatment options