Dataset: 9.3K articles from Wikipedia (CC BY-SA).
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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 ‹ Endometrial neoplasm screening

Endometrial intraepithelial neoplasia – Diagnosis

Uterine sarcoma – Diagnosis

Uterine serous carcinoma – Prognosis

Uterine sarcoma – Signs and symptoms

Uterine serous carcinoma – Prognosis | Survival

Endometrial cancer – Diagnosis | Examination

Endometrial cancer – Management | Monitoring

Intraductal papillary mucinous neoplasm – Diagnosis

Uterine clear-cell carcinoma – Prognosis and treatment

Endometrial intraepithelial neoplasia – Clinical aspects

Pancreatic serous cystadenoma – Diagnosis

Squamous-cell thyroid carcinoma – Diagnosis | Markers

Squamous-cell thyroid carcinoma – Diagnosis | Radiological examination

Uterine clear-cell carcinoma – Diagnosis

Intraductal papillary mucinous neoplasm – Treatment

Cowden syndrome – Treatment

Mixed Müllerian tumor – Morphology

Mixed Müllerian tumor – Prognosis

Endometrial hyperplasia – Diagnosis

Pancreatic serous cystadenoma – Treatment

Uterine cancer – Epidemiology

Endometrial polyp – Prognosis

Cervical polyp – Prognosis

Endometrial polyp – Diagnosis

Uterine cancer – Types