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Learn how artificial intelligence (AI) technologies such as natural language processing (NLP), machine learning (ML) and text mining work.
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Technology Overview
What is Text Mining, Text Analytics and NLP
Guide to Choosing the Right NLP Solution
How does Natural language Processing (NLP) work?
NLP for Machine Learning in Healthcare
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Learn about Linguamatics NLP solutions for pharma and biotechnology, healthcare providers, payers and government.
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Our team brings a unique blend of in-depth industry expertise in life science, healthcare, text mining and natural language processing (NLP) to help our customers solve their most challenging information extraction and knowledge discovery issues.
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Precision Medicine
Precision medicine refers to the ability to tailor treatment to the most appropriate group of patients, either at the clinical level, or within drug discovery and development.
Population Health Management and Analytics
To enhance population health analysis and identify the care needs of individuals, providers and payers must extract insights from data stored in unstructured text in EHRs.
Patient Safety
Patient safety is always a priority. Detecting early signs of clinical risk and disease gives us a greater chance of a successful outcome.
Clinical Research
Mining unstructured data to support medical research has been prevalent for many years. This requires analysis of Big Data sets and often includes manual chart review to identify patients and extract specific attributes.
Quality Measures
The regulatory burdens of initiative quality measures continue to put a strain on overworked hospital departments, and payers alike.
Disease Registries
Better disease management may be obtained by adding vital information in the form of unstructured data to your disease registries.
Big Data Analytics in Healthcare
The term "big data" was coined in the early 2000s by industry analyst Doug Laney. In Laney's definition, the term referred to information existing in large data sets, with high update rates and in a variety of formats.
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Case Study: Supporting Value-Based Care at Atrius Health
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Customer Success
Latest Blogs
7 Jun 2022
Hywel Evans
Struggling with drug labels data? Why you should consider natural language processing
Pharma
Biotech
Linguamatics
31 May 2022
Paul Milligan
Connecting the dots in healthcare: Introducing IQVIA NLP API Suite
Pharma
Biotech
Provider
Payer
Government
Linguamatics
16 Mar 2022
Jane Reed
Autocoding adverse events to MedDRA – time to throw out the manual
Pharma
Biotech
Linguamatics
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Related Resources
Fact Sheet: IQVIA NLP Multilingual Capabilities
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Fact Sheet: NLP for Precision Oncology
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Webinar: Introduction to NLP for Healthcare
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Fact Sheet: A Guide to Choosing the Right NLP Solution
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