NLP pipelines
With Melax Tech NLP pipelines, users can amass information on any number of conditions, co-morbidities, or cohorts within an unstructured data set.
With Melax Tech NLP pipelines, users can amass information on any number of conditions, co-morbidities, or cohorts within an unstructured data set.
This pipeline extracts disease mentions, together with associated modifiers including “negation,” “severity,” “uncertainty,” “condition,” “subject,” and “body location” from clinical reports. The recognized diseases will be mapped to ICD-10 CM codes.
This pipeline identifies mentions of medications as well as their signature information including “form,” “dosage,” “strength,” “route,” “duration,” and “frequency” from clinical reports. It then maps recognized medication and signature information to RxNorm codes.
This pipeline extracts metastases-related information from pathology reports of lung cancer patients, including histological type, grade, specimen site, metastatic status indicators and the procedure.
This pipeline extracts genes, chemicals, and diseases from MEDLINE titles and abstracts.
This pipeline will recognize HPO terms in clinical text and map them into HPO codes.
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IMO Core
IMO Core Periop
IMO Core Procedure
IMO Precision Normalize
IMO Precision Sets