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.
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.