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 ‹ Familial juvenile hyperuricemic nephropathy screening

Medullary cystic kidney disease – Diagnosis

Kidney disease – Diagnosis

Acute uric acid nephropathy – Prevention

Hypertensive kidney disease – Diagnosis | Future diagnostic approaches

Proteinuria – Diagnosis | Analysis

Analgesic nephropathy – Diagnosis

Hypertensive kidney disease – Diagnosis | Definitive diagnosis

Medullary cystic kidney disease – Treatment

Analgesic nephropathy – Complications

Proteinuria – Diagnosis

Diabetic nephropathy – Diagnosis

CFHR5 nephropathy – Diagnosis

Acute uric acid nephropathy – Treatment

CFHR5 nephropathy – Prognosis

Diabetic nephropathy – Prognosis

Kidney disease – Development

Renal papillary necrosis – Diagnosis

Sickle cell nephropathy – Treatment

Contrast-induced nephropathy – Risk factors | Contrast agent

Renal papillary necrosis – Treatment

IgA nephropathy – Diagnosis

Contrast-induced nephropathy – Prevention

Phosphate nephropathy – Abstract

Reflux nephropathy – Diagnosis

Juvenile nephronophthisis – Diagnosis