Arjun Panesar at Diabetes Digital Media « Machine Learning Times

By: Jeff Deal, Conference Chair, Predictive Analytics World for Healthcare

In anticipation of his upcoming presentation at Predictive Analytics World for Healthcare Livestream, May 24-28, 2021, we requested Arjun Panesar, Founder and CEO of Diabetes Digital Media, just a few questions on their deployment of predictive analytics. Catch a glimpse of his presentation, How big data and AI are being used to reverse type 2 diabetes and redefine “healthy”, and see what’s in retailer on the PAW Healthcare convention.

Q: In your work with predictive analytics, what conduct or final result do your fashions predict? 

A: DDM supplies evidence-based well being interventions (digital therapeutics) and well being analytic AIs in a variety of well being domains, so we use predictive analytics in a variety of settings. In phrases of behaviour change which is core to consumer engagement, we use fashions to estimate the probability of sufferers to finish a selected program and degree of intervention required. We use these analytics to finest help healthcare professionals to help high-risk sufferers and minimise affected person hurt. It’s supporting the democratisation of healthcare, which is sensible. In phrases of deeper analytics, we offer reside fashions that predict the trajectory of blood glucose, danger of hypoglycemia (low blood sugar ranges), pancreatic most cancers, and the danger of stress, nervousness and despair from interactions inside our ecosystem which are mixed with standardised questionnaires to supply an exceptionally correct measure of psychological well being.

Q: How does predictive analytics ship worth at your group – what’s one particular approach wherein it actively drives choices or operations? 

A: Predictive analytics permits us to supply the epitome of evidence-based drugs – personalised evidence-based drugs to customers. One AI we offer receives a longitudinal dataset and offers a sign of pancreatic most cancers danger, which, as a situation, is most often identified when it’s too late. Our AI is ready to use unstructured information and interactions, mixed with blood glucose, vitamin and different well being markers to supply a measure of pancreatic most cancers danger. A key problem on this space is usually the entry to information and regulation on areas equivalent to this.

Q: Can you describe a quantitative outcome, such because the predictive elevate of your mannequin or the ROI of an analytics initiative? 

A: By deploying reside AIs that measure ranges of anger and despair inside our neighborhood, we’ve been capable of enhance consumer satisfaction by 170%. By recognizing customers that could be exhibiting indicators of psychological discomfort, we’re capable of triage to acceptable well being coach or healthcare skilled which supplies customers a extra comforting expertise.

Q: What stunning discovery or perception have you ever unearthed in your information? 

A: The novelty of longitudinal well being information on non-Caucasian communities. Many AIs which are deployed in healthcare utilise datasets that don’t symbolize properly on non-white communities. Addressing these biases – notably in well being AI is essential. A key power is the variety of our information which permits fashions to generalise properly in direction of individuals of most backgrounds and cultures.

Q: Sneak preview: Please inform us a take-away that you’ll present throughout your discuss at Predictive Analytics World. 

A: Gender and engagement throughout the first 7 days of becoming a member of a digital well being intervention are key predictors of well being outcomes. And it doesn’t matter what your degree of well being, a deep suggestion engine is assured to interact!

Arjun’s ebook, Machine Learning and AI in Healthcare is accessible of Amazon.

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Don’t miss Arjun’s presentation, How big data and AI are being used to reverse type 2 diabetes and redefine “healthy”, at PAW Healthcare on Monday, May 24, 2021 from 11:30 AM to 12:15 PM. Click here to register for attendance.

By: Jeff Deal, Conference Chair, Predictive Analytics World for Healthcare

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