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 ‹ Latent tuberculosis screening

Tuberculosis – Diagnosis | Latent tuberculosis

Tuberculosis – Diagnosis | Active tuberculosis

Tuberculosis in relation to HIV – Research at molecular level

Tuberculosis in relation to HIV – Treatment

Miliary tuberculosis – Diagnosis

Extensively drug-resistant tuberculosis – Diagnosis

Infection – Diagnosis | Biochemical tests

Infection – Diagnosis | Metagenomic sequencing

Extensively drug-resistant tuberculosis – Prevention

Meningeal syphilis – Diagnosis

Latent tuberculosis – Abstract

Mycobacterium avium-intracellulare infection – Diagnosis

Syphilis – Diagnosis | Direct testing

Syphilis – Diagnosis | Blood tests

Miliary tuberculosis – Prognosis

Latent tuberculosis – Transmission | Latent disease

Meningeal syphilis – Treatment | Penicillin

Multi-drug-resistant tuberculosis – Prevention

Mycobacterium avium-intracellulare infection – Diagnosis | HIV infection

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

Totally drug-resistant tuberculosis – Abstract

Prosector's wart – Diagnosis

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

Airborne disease – Prevention

Urogenital tuberculosis – Complications