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 ‹ Splenic leukemia risk

Acute myeloid leukemia – Risk factors | Radiation

Leukemia – Pregnancy

Acute myeloid leukemia – Risk factors | Chemical exposure

Leukemia – Causes | Genetic conditions

Acute erythroid leukemia – Epidemiology

Acute promyelocytic leukemia – Epidemiology

Acute promyelocytic leukemia – Prognosis

Childhood leukemia – Causes

Acute erythroid leukemia – Prognosis

T-cell prolymphocytic leukemia – Prognosis

T-cell prolymphocytic leukemia – Epidemiology

Hairy cell leukemia – Epidemiology

Myeloid sarcoma – Frequency and patterns of presentation | In myeloproliferative or myelodysplastic syndromes

Hairy cell leukemia – Prognosis | Follow-up care

Large granular lymphocytic leukemia – Prognosis

Myeloid sarcoma – Frequency and patterns of presentation | In Eosinophilic leukemia

Childhood leukemia – Types

Acute biphenotypic leukaemia – Prognosis

Acute myelomonocytic leukemia – Abstract

Acute megakaryoblastic leukemia – Prognosis

Chronic leukemia – Abstract

Acute leukemia – Abstract

Mast cell leukemia – Prognosis

Myeloid leukemia – Abstract

Large granular lymphocytic leukemia – Epidemiology