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 ‹ Morphine addiction risk

Cannabis use disorder – Cause | High risk groups

Cocaine dependence – Risk

Benzodiazepine dependence – Epidemiology

Cannabis use disorder – Cause | High risk groups | Adolescents

Cocaine dependence – Epidemiology

Nicotine dependence – Mechanisms

Substance dependence – Withdrawal

Benzodiazepine dependence – Treatment | Letter to patients

Nicotine dependence – Epidemiology

Substance dependence – Risk factors | Dependence potential

Substance use disorder – Causes | Risk factors

Opioid use disorder – Prevention

Opioid use disorder – Cause

Substance use disorder – Management | Addiction severity index

Substance abuse – Epidemiology

Substance abuse – Special populations | Street children

Stimulant use disorder – Signs and symptoms | Long-term effects

Stimulant use disorder – Signs and symptoms | Symptoms of the disorder

Barbiturate dependence – Abstract

Anabolic-androgenic steroids abuse – Abuse potential | National Institute on Drug Abuse

Anabolic-androgenic steroids abuse – Abuse potential | International Classification of Diseases

Exercise addiction – Epidemiology

Exercise addiction – Animal models

Psychological dependence – Abstract

Problem gambling – Prevalence | Europe