BRING YOUR TEXTUAL DATA TO LIFE
With MELAX℠ Technologies’ advanced product array
data challenges become biomedical, life science & healthcare solutions
BRING YOUR TEXTUAL DATA TO LIFE
BRING YOUR TEXTUAL DATA TO LIFE .
Melax Technologies Inc. is an emerging AI company specializing in machine learning and natural language processing (NLP) in the biomedical domain. The Melax team has over 20 years of experience in developing clinical NLP methods, tools, and applications, top-ranked in a dozen international NLP challenges in the medical domain. Many NLP-based solutions such as computer-assisted medical coding, clinical decision support, surveillance, care quality, and patient safety reporting were implemented and tested in leading hospitals and high-tech companies in US and other countries.
Melax’s featured product, the CLAMP toolkit for clinical NLP, was built on top of award-winning NLP methodologies proven in many international NLP challenges. It enables recognition and automatic encoding of clinical information in narrative patient reports. Currently, CLAMP has been widely used by thousands of users from hundreds of organizations including large medical centers and leading HIT companies.
Client Commentary…
We needed NLP functionality at our company and did not have the in-house expertise to accomplish it. We chose Melax Technologies CLAMP system to jumpstart our efforts. Ours was not a typical medical NLP application and the Melax team provided terrific support in getting us going and customizing the NLP pipeline to meet our needs. They also provided a framework for deploying the pipeline as a web service. I have always found them responsive and great to work with. We really appreciate their expertise and their can-do attitude which have allowed us to succeed in incorporating NLP into our product.”
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
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Built on proven methods and models trained using clinical corpora.
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Winning algorithms from many clinical NLP challenges such as i2b2 clinical NER (2009/2010-#2), SHARE/CLEF (2013-#1), and SemEval2014 UMLS encoding (#1).
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Train your own models using machine learning and deep learning algorithms with a simple click
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Compare different models with provided evaluation programs and visualization interfaces
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Built-in annotation tool that supports different IO methods (e.g. files or databases) and collaborative annotation by a team
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Compatible/convertible between different annotation tools (e.g., Brat, eHost, MAE etc.)
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Build your own NLP pipelines using both machine learning and rules
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Leverage existing pipelines to avoid NLP development from scratch
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Provide all the knowledge bases (e.g., dictionaries) required for CLAMP components
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Come with over 300 simulated clinical notes annotated with entities and relations
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Build on the UIMA framework, thus compatible with other systems such as cTAKES
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Thread safe and validated on parallel computing platforms such as SPARK and Hadoop
U S E C A S E S
Healthcare outcome and quality measurement
Predictive modeling and precision medicine
CDSS for personalized treatment
Precision oncology
Biomedical Research
Comparative effectiveness research
ETL to common data model (CDM)
Computer assisted coding
Morphology and topology standardization for tumor registries
Patient risk assessment for CMS reimbursement