Linguamatics I2E takes NLP Text Mining to New Heights

Last week I was at the Linguamatics Text Mining Summit – for a feast of new experiences. The Summit was hosted at Wentworth-by-the-Sea, a new venue for the TMS, and it was a wonderful showcase for 3 days of workshops, round table discussions, and talks.  

In addition to a new location, the attendees learned about fresh ways of approaching challenges across both life science and healthcare.  Some of the innovations came from the recently released features of I2E 5.2, many others from our customers.

A relatively new use of Natural Language Processing (a well-established AI technology), is to power machine learning (ML). David Milward (Linguamatics) discussed how I2E both utilises ML and can also effectively feed ML workflows with high quality data. Simon Beaulah (Linguamatics) gave an overview of new applications of I2E NLP in healthcare; several of which involve using NLP to fuel ML models. These include predicting 30-day readmissions; extraction of cardiac risk factors; or patient stratification of heart failure risk from echocardiogram metrics.

A broad range of NLP Text Analytics Applications across Life Science and Healthcare

Using text mining for ETL (extract transform and load) is becoming more widespread. Several of our customers talked about the power of NLP to extract structured data from unstructured text, and load the results into databases, warehouses or data lakes for broader access and decision support:


I always like the Fall, the "season of mists and mellow fruitfulness". It was the Autumn Equinox recently, and here in the UK, we are enjoying that lovely balance of weather at the turning of the seasons, the slow change from summer to fall, autumn fruits ripening, nights starting to draw in.

And of course this means our thoughts turn to… the Linguamatics Text Mining Summit! Held on the East Coast, this is an opportunity for our text mining community, across both healthcare and pharma industries, to come together. Attendees share best practice, get some hands-on training, and listen to talks on how others are finding real value from their textual data, using the power of NLP-based text mining.

This year, we will be in New Castle, New Hampshire, and the main talks will be on Tuesday 2nd October and Wednesday 3rd October. As always we have a balance of talks from our life science and healthcare customers, and from Linguamatics presenters, providing updates on current and future developments and plans. Our customer speakers encompass a wide range of use cases, spanning drug discovery and development, and into clinical delivery of therapeutics and better patient care.


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.


I2E Natural Language Processing advances research and care delivery by mining clinical insights from unstructured patient data

Cambridge, UK & Boston, USA – June 22nd, 2017 – Market leading Natural Language Processing (NLP) text analytics provider Linguamatics today announced the implementation of the Linguamatics Health enterprise NLP platform, powered by I2E, at the University of Pennsylvania Health System for the extraction of actionable insights from unstructured patient data.

“We look forward to working with Penn Medicine to help them unlock valuable insights from clinical notes in order to advance research initiatives and enhance the delivery of care,” said Simon Beaulah, senior director of healthcare at Linguamatics. “Our growing community of academic medical centers across the country have deployed the Linguamatics Health platform, and are taking advantage of its ease of use, powerful NLP capabilities, rapid query development and successful integration with enterprise systems. Our platform is particularly well-suited for this environment because it empowers organizations to work independently, and get the data they want without requiring extensive services.”


Text Mining Platform I2E features in Best Practices Final and as a Best of Show Award Contender; Linguamatics CTO David Milward a Featured Speaker

Cambridge, UK & Boston, USA – May 22, 2017 – Leading Natural Language Processing (NLP) text analytics provider Linguamatics today announced plans to highlight the latest version of its text mining platform at this week’s Bio-IT World Conference & Expo in Boston. Bio-IT World has named Linguamatics I2E 5.0 a contender for the Best of Show Award, and Linguamatics’ customer Pentavere Research Group a Best Practices finalist.

The Best of Show Awards showcase exceptional innovation in technologies used by life science professionals. As a Best of Show Award contender, Linguamatics is also eligible for the Bio-IT World People’s Choice Award, chosen by votes from the Bio-IT World Community. Voting for the People’s Choice Award is open from 5 pm ET Tuesday May 23 through 1 pm ET on Wednesday May 24.

Bio-IT World also chose Linguamatics' customer Pentavere Research Group as a Best Practices finalist, based on their work using I2E to mine unstructured data for real-world evidence to improve health outcomes. Best Practices finalists are recognized for their outstanding examples of technology innovation, from basic R&D to translational medicine. Pentavere deployed I2E to effectively mine unstructured EHR data, expediting delivery of their product daRWEn™ to the Real World Evidence market.