Clinical Decision Support using AI applied to texts
DESCRIPTION
Center for Research, Development and Evaluation of Automatic Clinical Language Processing (NLP): Scientific Articles, clinical reports, comments on social networks. HiTZ has developed prototypes for medical entity recognition, standardization (ICD, Snomed-
CT), automatic notification of adverse drug reactions, analysis of the temporal evolution of diseases, etc. It has benchmarks for validation of clinical NLP tools, and deep Learning models. Provides advice and training in PLN systems development.
MOST OUTSTANDING EQUIPMENT AND COMPONENTS
Evaluation Benchmark for Entity Detection Systems (drugs, disorders and symptoms)Evaluation Benchmark for Entity Detection Systems (drugs, disorders and symptoms)
Evaluation Benchmark for ICD and Snomed CT Standarization Systems
Platform for extracting relations between drugs and Disease /Symptoms
Software for detecting and standardization of medical entities (Snomed CT, ICD)
Training capacity with an Erasmus Mundus master in PLN Since 2000
SERVICES OFFERED BY THE ASSET
Adverse Drug Reaction detection
Clinical Text NLP Evaluation Benchmarks
Medical terminology Standardization
Prevention of hospital admissions
Training and Consulting
ENTITY MANAGING THE ASSET
UPV/EHU
Contact person: Gorka Artola Beobide
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