Dataset: 9.3K articles from Wikipedia (CC BY-SA).
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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 ‹ Metal poisoning screening

Lead poisoning – Diagnosis | Reference levels

Metal toxicity – Testing for poisoning

Mercury poisoning – Diagnosis

Mercury poisoning – Prevention | Cleaning spilled mercury

Arsenic poisoning – Diagnosis

Cyanide poisoning – Diagnosis

Lead poisoning – Diagnosis

Cyanide poisoning – Treatment | Decontamination

Metal toxicity – Treatment for poisoning

Pesticide poisoning – Diagnosis

Ethylene glycol poisoning – Diagnosis

Organophosphate poisoning – Diagnosis

Pesticide poisoning – Prevention

Arsenic poisoning – Treatment | Chelation

Ethylene glycol poisoning – Prevention

Chromium toxicity – Monitoring excessive human exposure

Zinc toxicity – Cross-reaction toxicity

Salicylate poisoning – Prevention

Copper toxicity – Treatment

Metal fume fever – Diagnosis

Animal lead poisoning – Treatment

Metal fume fever – Prevention

Thallium poisoning – Detection in body fluids

Zinc toxicity – High levels of intake by humans

Aluminium phosphide poisoning – Management and outcome