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 ‹ Tuberculosis in relation to HIV screening

Tuberculosis in relation to HIV – Research at molecular level

HIV/AIDS – Diagnosis | HIV testing

HIV/AIDS – Diagnosis

Tuberculosis in relation to HIV – Prevention

Tuberculosis – Diagnosis | Latent tuberculosis

Tuberculosis – Diagnosis | Active tuberculosis

HIV and pregnancy – HIV testing in pregnancy

HIV/AIDS in Africa – Measurement

Extensively drug-resistant tuberculosis – Diagnosis

HIV and pregnancy – Prevention of mother-to-child transmission | Indications to start medications

HIV/AIDS in Africa – Health Care delivery

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

Miliary tuberculosis – Diagnosis

HIV drug resistance – Contemporary treatment issues

Mycobacterium avium-intracellulare infection – Diagnosis

HIV superinfection – Immunology of HIV superinfection

Opportunistic infection – Veterinary treatment

Latent tuberculosis – Abstract

HIV superinfection – HIV co-infection offset

Multi-drug-resistant tuberculosis – Prevention

Mycobacterium avium-intracellulare infection – Diagnosis | HIV infection

Opportunistic infection – Prophylaxis (Prevention) | Prophylactic medications

Latent tuberculosis – Transmission | Latent disease

Pneumonia – Diagnosis | Differential diagnosis

Miliary tuberculosis – Prognosis