With MELAX Technologies’ advanced product array
data challenges become biomedical, life science & healthcare solutions



Melax Technologies Inc. is an AI company specializing in machine learning and natural language processing (NLP) in the biomedical domain. With over 20 years’ experience in developing clinical NLP methods, tools, and applications and is top-ranked in a dozen international NLP challenges. Our NLP-based technology is used in computer-assisted medical coding, clinical decision support, surveillance, care quality, patient safety reporting, and client-defined projects.

Melax’s featured product, the CLAMP toolkit for clinical NLP enables the recognition and automatic encoding of clinical information in narrative patient reports. Currently, CLAMP is in use by thousands of users at large medical centers and leading HIT companies.


M E L A X   N L P   F E A T U R E S

M E L A X  N L P  F E A T U R E S

Move to structured, organized and standardized data
High-performance NLP components built for clinical text:
  • Built on proven methods and models trained using clinical corpora.
  • Winning algorithms from many clinical NLP challenges such as i2b2 clinical NER (2009/2010-#2), SHARE/CLEF (2013-#1), and SemEval2014 UMLS encoding (#1).
Machine learning and hybrid approaches
  • Train your own models using machine learning and deep learning algorithms with a simple click
  • Compare different models with provided evaluation programs and visualization interfaces
Annotation and corpora management
  • Built-in annotation tool that supports different IO methods (e.g. files or databases) and collaborative annotation by a team
  • Compatible/convertible between different annotation tools (e.g., Brat, eHost, MAE etc.)
Customized pipelines
  • Build your own NLP pipelines using both machine learning and rules
  • Leverage existing pipelines to avoid NLP development from scratch
Knowledge bases and sample clinical text:
  • Provide all the knowledge bases (e.g., dictionaries) required for CLAMP components
  • Come with over 300 simulated clinical notes annotated with entities and relations
Interoperability and Scalability
  • Build on the UIMA framework, thus compatible with other systems such as cTAKES
  • Thread safe and validated on parallel computing platforms such as SPARK and Hadoop
Healthcare outcome and quality measurement

Healthcare outcome and quality measurement

Reports of problem-specific clinical measures
Extraction of patient safety indicators
Normalization to standard terminologies such as SNOMED-CT and MedDRA
Predictive modeling and precision medicine

Predictive modeling and precision medicine

Hospital length-of-stay and re-admission prediction
CDSS for personalized treatment
Precision oncology
Biomedical Research

Biomedical Research

Phenotyping/cohort identification
Comparative effectiveness research
ETL to common data model (CDM)
Computer assisted coding

Computer assisted coding

Medical Billing Codes: ICD 10, HCC, CPT etc.
Morphology and topology standardization for tumor registries
Patient risk assessment for CMS reimbursement
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