Deep Learning in the Health Record: Discovering Meaning in Clinical Text
Everyone knows that electronic healths records (EHRs) are messy. From missing data, to nonstandard text, to interoperability issues — all this and more make EHRs one of the most difficult types of data to use in data science applications. Despite these formidable challenges, the EHR remains the largest source of clinical data extant today. This talk will focus on several applications of deep learning in EHRs with special emphasis on NLP using clinical text, as well as discussing selected challenges in building end-to-end pipelines using EHR data.
Mayur received his PhD in Biomedical Engineering at Columbia University, in which he applied sophisticated data science and machine learning techniques on sub-cellular processes captured through advanced microscopy. He previously co-founded Ardent Cell Technologies, a cell therapeutics company developing biologics for diabetes and weight loss, where the technology is undergoing human clinical trials. Before joining Columbia, Mayur worked with some of the largest management consulting firms, where he designed strategy and implementation plans for data science/artificial intelligence based healthcare companies. He also worked at Cornell University to develop high-throughput genomic data generation pipelines for using machine learning and other statistical techniques towards the general goal of precision medicine. He worked at the National University of Singapore and A-Star Singapore to develop High Performance Computing infrastructure and methodologies for biological systems. During this time, Mayur consulted for acquisitions of advanced computing technology assets. He finished his engineering degree in Biological Sciences and Bioengineering at the Indian Institute of Technology Kanpur with a focus on computational technologies for high frequency sensor data. During his undergraduate studies, Mayur was instrumental in starting several successful ventures in different industries including medical technology, image processing, and analytics to name a few. Apart from being the CEO of Droice Labs, an AI/Big Data healthcare company based in NY, Mayur advises healthcare and non-healthcare companies on strategy and implementation of big data/AI focused technologies.