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 ‹ Urinary tuberculosis screening

Tuberculosis – Diagnosis | Latent tuberculosis

Tuberculosis – Diagnosis | Active tuberculosis

Miliary tuberculosis – Diagnosis

Miliary tuberculosis – Prognosis

Tuberculosis in relation to HIV – Research at molecular level

Urinary tract infection – Diagnosis | Children

Urinary tract infection – Diagnosis

Bacteriuria – Diagnosis

Pyelonephritis – Diagnosis | Laboratory examination

Bacteriuria – Treatment

Tuberculosis in relation to HIV – Treatment

Extensively drug-resistant tuberculosis – Diagnosis

Pyelonephritis – Diagnosis | Imaging studies

Urogenital tuberculosis – Complications

Urogenital tuberculosis – Epidemiology

Catheter-associated urinary tract infection – Core prevention strategies

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

Multi-drug-resistant tuberculosis – Prevention

Bacteremia – Diagnosis

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

Emphysematous cystitis – Diagnosis

Tuberculous meningitis – Diagnosis

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

Bacteremia – Treatment | Catheter-associated infections

Tuberculous pericarditis – Abstract