Posts from July 2017

Press release: Frost & Sullivan Honors Linguamatics for Developing a Best-in-Class NLP-based Data Mining Platform for the Healthcare Industry

July 20 2017

I2E makes natural language processing-based text mining intuitive and interactive

SANTA CLARA, Calif. — July 20, 2017 — Based on its recent analysis of the Big Data text analytics market for the healthcare industry, Frost & Sullivan recognizes Linguamatics with the 2017 Global Frost & Sullivan Award for Enabling Technology Leadership. Linguamatics stands out in the natural language processing (NLP) market for its technology expertise and commitment to delivering exceptional value to clients in the US healthcare industry. The highly flexible and scalable Linguamatics Health platform, powered by I2E, is helping healthcare providers and payers to transition to value-based care.

Within the last year, Linguamatics introduced its fifth iteration of I2E, which includes cutting-edge capabilities such as the normalization of concepts and relationships for quick and comprehensive data retrieval regardless of format; advanced range research; and an extraction and search query language (EASL). The EASL can be generated external to the platform to support custom interfaces, queries in a human-readable format, and superior workflow automation.

PM360 Article: Natural Language Processing and Machine Learning - a Powerful Combination

July 17 2017

David Milward

In healthcare, the excitement about the potential for big data and machine learning is palpable, and there is more accessible electronic information than ever before.

The challenge for the healthcare community is that approximately 80% of the data in a typical electronic health record (EHR) is trapped within unstructured notes, which requires expensive human annotation to make it accessible to machine learning systems.

So what’s the solution? The use of Natural language processing (NLP), another artificial intelligence (AI) technique, can turn this unstructured text into a set of features for machine learning to use. Data-driven, rule-based NLP techniques can extract information from text using linguistic patterns and terminologies with high precision and recall —avoiding the need to manually annotate training data for the machine learning model.

Read the full PM360 article to find out more about how the combination of NLP and machine learning can be a powerful tool for developing predictive models in healthcare and life science.

Read the full article

About David Milward:

David Milward is Chief Technology Officer at Linguamatics. He is a pioneer of interactive text mining, and a founder of Linguamatics. He has over 20 years of experience in natural language processing (NLP) product development, consultancy, and research.