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 ‹ Colloid Adenocarcinoma of Rectum screening

Anal cancer – Screening

Urachal cancer – Diagnosis

Colorectal cancer – Prevention | Screening | Recommendations

Anal cancer – Prevention

Urachal cancer – Histopathology

Colorectal cancer – Prevention | Medication

Colorectal polyp – Prevention

Pseudomyxoma peritonei – Diagnosis

Esophageal cancer – Prevention | Screening

Signet ring cell carcinoma – Prognosis by organ

Esophageal cancer – Diagnosis | Staging

Villoglandular adenocarcinoma of the cervix – Diagnosis

Signet ring cell carcinoma – Prognosis by organ | Bladder

Gastrointestinal cancer – Lower digestive tract | Anal cancer

Neuroendocrine carcinoma of the cervix – Large-cell carcinoma (LCC)

Ceruminous adenocarcinoma – Differential diagnoses

Colorectal polyp – Diagnosis

Vaginal cancer – Diagnosis

Gastrointestinal cancer – Lower digestive tract | Colorectal cancer

High-grade prostatic intraepithelial neoplasia – Diagnosis

Familial adenomatous polyposis – Clinical management | Monitoring

Familial adenomatous polyposis – Clinical management

Adenocarcinoma in situ of the lung – Diagnosis

Pseudomyxoma peritonei – Treatment

Vulvar cancer – Prognosis