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

Imprint / Contact

Results for Query ‹ Genitourinary system tuberculosis screening

Tuberculosis – Diagnosis | Latent tuberculosis

Tuberculosis – Diagnosis | Active tuberculosis

Miliary tuberculosis – Diagnosis

Tuberculosis in relation to HIV – Research at molecular level

Miliary tuberculosis – Prognosis

Extensively drug-resistant tuberculosis – Diagnosis

Tuberculosis in relation to HIV – Treatment

Urogenital tuberculosis – Complications

Urogenital tuberculosis – Epidemiology

Extensively drug-resistant tuberculosis – XDR-TB and HIV/AIDS

Multi-drug-resistant tuberculosis – Prevention

Prosector's wart – Diagnosis

Opportunistic infection – Veterinary treatment

Tuberculous meningitis – Diagnosis | Nucleic acid amplification tests (NAAT)

Tuberculoma – Treatment

Multi-drug-resistant tuberculosis – Prevention | DOTS-Plus

Tuberculoma – Diagnosis | Differential diagnosis

Latent tuberculosis – Abstract

Opportunistic infection – Prophylaxis (Prevention) | Prophylactic medications

Bacteremia – Diagnosis

Latent tuberculosis – Transmission | Latent disease

Tuberculous meningitis – Diagnosis

Prosector's wart – Treatment

Blastomycosis – Diagnosis

Totally drug-resistant tuberculosis – Abstract