The global healthcare Natural Language Processing (NLP) market is expected to grow from $1.10 billion in 2015 to $2.67 billion by 2020, according to a report from Markets and Markets. This growth is driven by the need to better understand and manage the health and wellness of patient populations in a changing healthcare landscape. But with 80% of healthcare data in unstructured Big Data, so much insight is trapped in text.
How are payers and providers to extract these insights and apply them in statistical and machine learning models? This Cloudera webinar with Linguamatics explores NLP techniques for data discovery and information extraction to enhance predictive risk models, improve population stratification and automate capture of quality measures.
Please join us on November 15, 2017.
Simon is is responsible for Linguamatics’ healthcare products and solutions, including applications in the areas of clinical risk models, population health, and medical research. Previously, Simon was Marketing Director, Translational Medicine at IDBS/InforSense, where he was responsible for the company’s market analysis, product marketing, and Go To Market strategy in healthcare analytics and translational medicine. Prior to IDBS, he was Director of Product Management at BioWisdom, where he was responsible for delivery of customer projects using the company’s ontology products. He also worked as a senior product manager at LION Bioscience and Synomics, and as a software developer at the UK’s Biotechnology and Biological Sciences Research Council. Simon has degrees from Aston University and Cranfield Institute of Technology, UK.
Shawn leads Cloudera’s precision medicine, real world evidence and clinical prediction vision, roadmap and partnerships, and helps customers develop use cases on the business side of research, discovery, and translational medicine. Shawn co-led the Healthcare & Life Science industry practice at Netezza, and designed a Health Outcomes Analytic Appliance in conjunction with Brigham & Women's Hospital and Harvard Medical School. He has worked with Dr. Paul Grundy, the godfather of patient-centered medical home, on methods to apply analytics to large populations. Shawn is a member of the International Society of Pediatric Innovation, the Global Alliance for Genomics and Health, and the Observational Health Data Sciences & Informatics collaborative. He is a Board Member of Predict Align Prevent, a new program to use predictive analytics to prevent child abuse and neglect. He was recently named one of Washington DC’s ‘Fifty on Fire’, the fifty most innovative people or companies in DC.