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

Imprint / Contact

Results for Query ‹ HIV drug resistance risk

HIV drug resistance – Potential limited effects of current drugs

Extensively drug-resistant tuberculosis – Epidemiology

HIV drug resistance – Contemporary treatment issues

Extensively drug-resistant tuberculosis – Enforced quarantine

Tuberculosis in relation to HIV – Prevention

Tuberculosis in relation to HIV – Research at molecular level

Blood-borne disease – Blood transfusions

Blood-borne disease – Occupational exposure

HIV and pregnancy – Pregnancy planning

Diseases of poverty – Diseases

Innate resistance to HIV – History

Diseases of poverty – Diseases | Asthma

HIV/AIDS in Africa – Regional prevalence | Central Africa

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

Transfusion transmitted infection – Viruses

HIV/AIDS in Africa – Regional prevalence | Eastern Africa

Long-term nonprogressor – Abstract

HIV/AIDS – Transmission

Hepatitis – Special populations | Pregnancy | Hepatitis C

HIV/AIDS – Prognosis

Transfusion transmitted infection – Viruses | HIV

Multi-drug-resistant tuberculosis – Epidemiology | Russian prisons | Contributing factors

Carbapenem-resistant enterobacteriaceae – Risk factors

Emerging infectious disease – Contributing factors

Hepatitis – Special populations | Pregnancy | Hepatitis E