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 ‹ Subacute leukemia risk

Acute myeloid leukemia – Risk factors | Radiation

Leukemia – Pregnancy

Acute myeloid leukemia – Risk factors | Chemical exposure

Leukemia – Causes | Genetic conditions

Juvenile myelomonocytic leukemia – Frequency

Acute promyelocytic leukemia – Epidemiology

Acute erythroid leukemia – Epidemiology

Childhood leukemia – Causes

Acute promyelocytic leukemia – Prognosis

Acute erythroid leukemia – Prognosis

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

Juvenile myelomonocytic leukemia – Prognosis

T-cell prolymphocytic leukemia – Prognosis

T-cell prolymphocytic leukemia – Epidemiology

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

Hairy cell leukemia – Epidemiology

Acute leukemia – Abstract

Childhood leukemia – Types

Acute myelomonocytic leukemia – Abstract

Hairy cell leukemia – Cause

Acute biphenotypic leukaemia – Prognosis

Chronic leukemia – Abstract

Myeloid leukemia – Abstract

Large granular lymphocytic leukemia – Prognosis

Acute megakaryoblastic leukemia – Prognosis