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

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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

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Results for Query ‹ Adenocarcinoma of the epididymis screening

Vaginal cancer – Diagnosis

High-grade prostatic intraepithelial neoplasia – Diagnosis

High-grade prostatic intraepithelial neoplasia – Treatment

Villoglandular adenocarcinoma of the cervix – Diagnosis

Testicular cancer – Diagnosis | Staging

Pseudomyxoma peritonei – Diagnosis

Testicular cancer – Prognosis | Surveillance

Urachal cancer – Diagnosis

Urachal cancer – Prognosis

Vaginal cancer – Management

Endometrial intraepithelial neoplasia – Diagnosis

Villoglandular adenocarcinoma of the cervix – Treatment

Signet ring cell carcinoma – Prognosis by organ

Pseudomyxoma peritonei – Treatment

Ceruminous adenocarcinoma – Differential diagnoses

Krukenberg tumor – Treatment and prognosis

Adenocarcinoma in situ of the lung – Diagnosis

Signet ring cell carcinoma – Prognosis by organ | Bladder

Salivary gland tumour – Diagnosis

Pancreatic cancer – Prevention and screening

Pancreatic cancer – Staging | PanNETs

Esophageal cancer – Prevention | Screening

Atypical small acinar proliferation – Management

Clear-cell adenocarcinoma of the vagina – Clinical features

Endometrial intraepithelial neoplasia – Clinical aspects