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 ‹ Vulvar sebaceous carcinoma screening

Vulvar intraepithelial neoplasia – Prevention

Vulvar cancer – Diagnosis | Differential diagnosis

Vulvar cancer – Prognosis

Cervical intraepithelial neoplasia – Prognosis

Cervical intraepithelial neoplasia – Classification

Vulvar intraepithelial neoplasia – Diagnosis

Penile cancer – Prognosis

Basal-cell carcinoma – Prevention

Basal-cell carcinoma – Treatment

Dysplasia – Epithelial dysplasia | Screening

Penile cancer – Treatment

Nevus – Diagnosis

Salivary gland tumour – Diagnosis

Nevus – Management

Vaginal intraepithelial neoplasia – Abstract

Bartholin gland carcinoma – History

Fordyce spots – Prognosis

Extramammary Paget's disease – Diagnosis

Sebaceous carcinoma – Treatment

Verruciform xanthoma – Epidemiology

Anal cancer – Screening

Sebaceous lymphadenoma – Treatment

Verruciform xanthoma – Diagnosis | Differential diagnosis

Lichen sclerosus – Diagnosis

Fordyce spots – Treatment