Dataset: 9.3K articles from Wikipedia (CC BY-SA).
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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)

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Results for Query ‹ German pregnancy category Group 10 risk

Drugs in pregnancy – Recreational drugs | Tobacco

Miscarriage – Risk factors | Obesity, eating disorders and caffeine

Miscarriage – Risk factors | Intercurrent diseases

Drugs in pregnancy – Recreational drugs | Cannabis

Pregnancy – Management | Exposure to toxins

Pregnancy – Management | Recreational drugs

Pregnancy category – Categorization of selected agents

Hypertensive disease of pregnancy – Risks

Age and female fertility – Quantification of effect | Historical data

Abortion doping – Physical benefits

Gestational trophoblastic disease – Risk of a repeat GTD

Age and female fertility – Quantification of effect

Gestational trophoblastic disease – Becoming pregnant again

Hypertensive disease of pregnancy – Types | Preeclampsia

Congenital cytomegalovirus infection – Prevention

Congenital cytomegalovirus infection – Prevention | Childcare

Abortion doping – Abstract

Pregnancy category – Abstract

Group B streptococcal infection – Pregnancy | Newborns

Gestational diabetes – Prognosis | Complications

Diabetes mellitus and pregnancy – Risks for the child

Group B streptococcal infection – Pregnancy

Psychiatric disorders of childbirth – Epilepsy

Poor ovarian reserve – Abstract

Diabetes mellitus and pregnancy – Importance of blood glucose level during pregnancy