Social listening and the early detection of colorectal cancer
Technology, patient advocacy, and social media merge to highlight the importance of early detection during Colorectal Cancer Awareness Month.
To be effective, NLP solutions must be trained in the complexity of clinical language. They need to be able to evaluate countless acronyms, abbreviations, and misspellings common in clinical parlance; understand the use of negation, specialty-dependent language, and time-based relationships; and identify relationships between words and phrases within a larger block of information.
Trusted by more than 650 organizations, Melax Tech NLP solutions provide proven tools and expertise to improve the value and usability of unstructured clinical data for more accurate and effective real-world evidence, cohort discovery, clinical trials optimization, knowledge integration, and more.
Support information extraction tasks, including named entity recognition, relation extraction, and concept normalization with accessible no-code, team-focused text annotation
Rely on top-ranked, deep learning and rule development environment to engineer clinical NLP models with flexible integration
Tap into the knowledge and expertise of leading NLP data scientists specializing in clinical, biomedical, and life sciences to tailor, fine tune, and accelerate your projects
Efficient NLP annotation, model training, pipeline development, and deployment tools with flexible integration to improve the value and usability of unstructured clinical data.
(Deep learning)
(Model + rules)
(AWS, Azure, GCP)
(FHIR, CDM)
With extensive peer-reviewed publications, and top-ranked performance in clinical and biomedical NLP challenges, core members of our team have been in the field of NLP for more than 14 years.
Technology, patient advocacy, and social media merge to highlight the importance of early detection during Colorectal Cancer Awareness Month.
Read an excerpt from our latest white paper exploring how NLP and generative AI can be used to advance disease phenotyping and precision medicine.
Ready to make complex clinical data usable? Learn how NLP technology, data normalization engines, and value set management tools can help.