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 ‹ Laryngeal tuberculosis screening

Miliary tuberculosis – Diagnosis

Tuberculosis – Diagnosis | Latent tuberculosis

Tuberculosis – Diagnosis | Active tuberculosis

Miliary tuberculosis – Prognosis

Tuberculosis in relation to HIV – Research at molecular level

Tuberculosis in relation to HIV – Treatment

Hemoptysis – Treatment

Extensively drug-resistant tuberculosis – Diagnosis

Hemoptysis – Diagnosis | Differential diagnosis

Tuberculous pericarditis – Abstract

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

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

Alveolar lung disease – Radiographic findings

Urogenital tuberculosis – Complications

Multi-drug-resistant tuberculosis – Prevention

Tuberculous meningitis – Diagnosis

Alveolar lung disease – Abstract

Mendelson's syndrome – Treatment

Urogenital tuberculosis – Epidemiology

Latent tuberculosis – Abstract

Croup – Diagnosis | Severity

Pott disease – Prevention

Prosector's wart – Diagnosis

Croup – Diagnosis

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