There’s growing interest in the use of machine learning to solve challenges across the drug-discovery pipeline within the biopharmaceutical community. The availability of high quality data for training algorithms is vital to machine learning success - but much of this information is tied up in unstructured, or semi-structured text sources. Natural language processing (NLP) is the key to extracting the wealth of data hidden in unstructured text, and Linguamatics’ customers have been finding out first-hand what this approach can do for them.
Natural Language Processing (NLP) text analytics provider Linguamatics announced the implementation of the Linguamatics Health enterprise NLP platform, powered by I2E, at Atrius Health to identify and extract critical clinical information hidden within unstructured patient data.
“Linguamatics NLP allows us to close gaps in care, enhance clinical documentation for chronic disorders, reduce litigation risks, and streamline Medicare ACO quality reporting,” said Joe Kimura, MD, Atrius Health’s chief medical officer.
Organizations are embracing the digital revolution, but digital transformation demands data transformation, in order to get the full value from disparate data across the organization. Integrating data from a variety of sources into a data warehouse or other data repository centralizes business-critical data, and speeds up finding and analyzing important data. The Extract, Transform, and Load (ETL) process of extracting data from source systems and bringing it into databases or warehouses is well established. While many ETL tools can handle structured data, very few can reliably process unstructured data and documents.
You will get hands on training for all levels of I2E experience; learn about industry trends and best practices from our customers, partners and industry experts and see the latest product updates and demonstrations. New speakers announced from Novo Nordisk, Bayer, Mundipharma and more...
Drug discovery lifecycles within the pharmaceutical and biotech industries are reducing every year. As a result, saving time has become an increasingly important factor at every stage of product development, including patent landscape analysis.
I2E's suite of patent portfolio analysis tools allows you to create powerful and bespoke queries for patent landscape reports, white space analysis, patent freedom to operate (FTO) searches, competitive intelligence and state-of-the-art reviews.
There’s growing interest in the use of machine learning to solve challenges across the drug-discovery pipeline within the biopharmaceutical community. The availability of high quality data for training algorithms is vital to machine learning success - but much of this information is tied up in unstructured, or semi-structured text sources. Natural language processing (NLP) is the key to extracting the wealth of data hidden in unstructured text, and Linguamatics’ customers have been finding out first-hand what this approach can do for them.
Natural Language Processing (NLP) text analytics provider Linguamatics announced the implementation of the Linguamatics Health enterprise NLP platform, powered by I2E, at Atrius Health to identify and extract critical clinical information hidden within unstructured patient data.
“Linguamatics NLP allows us to close gaps in care, enhance clinical documentation for chronic disorders, reduce litigation risks, and streamline Medicare ACO quality reporting,” said Joe Kimura, MD, Atrius Health’s chief medical officer.
Organizations are embracing the digital revolution, but digital transformation demands data transformation, in order to get the full value from disparate data across the organization. Integrating data from a variety of sources into a data warehouse or other data repository centralizes business-critical data, and speeds up finding and analyzing important data. The Extract, Transform, and Load (ETL) process of extracting data from source systems and bringing it into databases or warehouses is well established. While many ETL tools can handle structured data, very few can reliably process unstructured data and documents.
You will get hands on training for all levels of I2E experience; learn about industry trends and best practices from our customers, partners and industry experts and see the latest product updates and demonstrations. New speakers announced from Novo Nordisk, Bayer, Mundipharma and more...
Drug discovery lifecycles within the pharmaceutical and biotech industries are reducing every year. As a result, saving time has become an increasingly important factor at every stage of product development, including patent landscape analysis.
I2E's suite of patent portfolio analysis tools allows you to create powerful and bespoke queries for patent landscape reports, white space analysis, patent freedom to operate (FTO) searches, competitive intelligence and state-of-the-art reviews.
