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Speaker "Rohan Singh Rajput" Details Back

 

Topic

Large Scale Distributed Cognitive Computing in Healthcare

Abstract

Analytics and machine learning can enhance the electronic information provided to doctors. We need to provide clinicians with more information so they can make better decisions about patient diagnoses and treatment options, at the same time understand the possible outcomes and cost for each one. The value of machine learning in healthcare is its ability to process huge data sets beyond the scope of human capability, and then reliably convert analysis of that data into clinical insights that aid physicians in planning and providing care, ultimately leading to better outcomes, lower costs of care, and increased patient satisfaction. As more data is available, we can give more information to patients. At Owned Outcomes, we use our proprietary softwares to analyze data, train data using model agnostic ML algorithms, and compare data to provide information to providers and patients.

Profile

Rohan Singh Rajput is a distinguished leader in the field of personalization, currently serving as the Personalization Domain Lead at Headspace. With over eight years of experience in analytics, data science, machine learning, and AI, Rohan has developed and deployed several successful machine learning models in production. His expertise in the field has garnered him a massive following on LinkedIn, with over 10,000 followers. Rohan has also been invited to speak at numerous data science conferences and has published several articles in newsletters. Additionally, his contributions to the field have earned him a patent, and he has been featured in company blog posts and data science podcasts. Rohan's dedication and passion for his work are reflected in his work history, which includes working in prominent Fortune 500 companies such as Disney and Ticketmaster.