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 ‹ Amphetamine abuse risk

Benzodiazepine use disorder – Signs and symptoms | Health related complications

Benzodiazepine use disorder – Epidemiology

Substance abuse – Special populations | Musicians

Alcohol dependence – Epidemiology

Alcohol abuse – Epidemiology

Substance abuse – Special populations | Street children

Cocaine dependence – Risk

Cocaine dependence – Epidemiology

Alcohol abuse – Causes

Substance use disorder – Causes | Risk factors

Substance dependence – Withdrawal

Substance dependence – Risk factors | Dependence potential

Alcohol dependence – Treatment

Substance use disorder – Management | Addiction severity index

Amphetamine dependence – Abstract

Alcoholism – Causes | Gender difference

Alcoholism – Causes

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

Substance-related disorder – Classification and terminology | Potential Complications

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 – Causes and treatment

Substance-related disorder – Classification and terminology

Dual diagnosis – Prevalence