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 ‹ Mycobacterium tuberculosis, susceptibility symptoms

Tuberculosis – Signs and symptoms

Tuberculosis – Signs and symptoms | Pulmonary

Mycobacterium avium-intracellulare infection – Signs and symptoms

Mycobacterium avium-intracellulare infection – Abstract

Miliary tuberculosis – Signs and symptoms

Latent tuberculosis – Abstract

Miliary tuberculosis – Abstract

Extensively drug-resistant tuberculosis – Abstract

Tuberculosis in relation to HIV – Abstract

Multi-drug-resistant tuberculosis – Abstract

Urogenital tuberculosis – Complications

Extensively drug-resistant tuberculosis – Symptoms

Pneumonia – Signs and symptoms

Urogenital tuberculosis – Pathogenesis

Pneumonia – Prognosis | Respiratory and circulatory failure

Pneumococcal infection – Abstract

Multiple drug resistance – Abstract

Mycobacterium fortuitum – Description

Mycobacterium fortuitum – Abstract

Pneumococcal infection – Infections

Tuberculosis in relation to HIV – Research at molecular level

Tuberculous meningitis – Signs and symptoms

Lobar pneumonia – Stages

Penicilliosis – Epidemiology

Chronic pulmonary aspergillosis – Abstract