Agenda

Predictive Analytics World for Healthcare 2021

May 24-28, 2021


To view the full 7-track agenda for the six co-located conferences at Machine Learning Week click here or for the individual conference agendas here: PAW Business, PAW Financial, PAW Healthcare, PAW Industry 4.0, PAW Climate or Deep Learning World.

Session Levels:

Blue circle sessions are for All Levels
Red triangle sessions are Expert/Practitioner Level
Orange square sessions are Practitioner Level

All times are Pacific Daylight Time (PDT/UTC-7)

Workshops - Wednesday, May 19th, 2021

7:15 am
Workshop:

Full-day: 7:15am – 2:30pm PDT

This one-day session surveys standard and advanced methods for predictive modeling (aka machine learning).

The Workshop Description will be available shortly.
Instructor
John Elder Ph.D.Elder Research
Founder & Chair
Elder Research
7:30 am
Workshop:

Full-day: 7:30am – 3:30pm PDT

Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages.

The Workshop Description will be available shortly.
Instructor
Robert MuenchenUniversity of Tennessee
Manager of Research Computing Support
University of Tennessee
8:00 am
Workshop:

Full-day: 8:00am – 3:00pm PDT

This one day workshop reviews major big data success stories that have transformed businesses and created new markets.

The Workshop Description will be available shortly.
Instructors
Vladimir BarashGraphika Labs
Director
Graphika
Marc SmithConnected Action Consulting Group
Chief Social Scientist
Connected Action Consulting Group
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Workshops - Thursday, May 20th, 2021

8:00 am
Workshop:

Full-day: 8:00am – 3:00pm PDT

This workshop dives into the key ensemble approaches, inc   zluding Bagging, Random Forests, and Stochastic Gradient Boosting.

The Workshop Description will be available shortly.
Instructor
Dean AbbottSmarterHQ
Co-Founder and Chief Data Scientist
SmarterHQ
8:00 am
Workshop:

Full-day: 8:00am – 3:00pm PDT

Python leads as a top machine learning solution – thanks largely to its extensive battery of powerful open source machine learning libraries. It’s also one of the most important, powerful programming languages in general.

The Workshop Description will be available shortly.
Instructor
Clinton BrownleyWhatsApp
Data Scientist
WhatsApp
8:00 am
Workshop:

Full-day: 8:00am – 3:00pm PDT

Machine learning improves operations only when its predictive models are deployed, integrated and acted upon – that is, only when you operationalize it.

The Workshop Description will be available shortly.
Instructor
James TaylorDecision Management Solutions
CEO
Decision Management Solutions
8:30 am
Workshop:

Full-day: 8:30am – 3:30pm PDT

Gain the power to extract signals from big data on your own, without relying on data engineers and Hadoop specialists.

The Workshop Description will be available shortly.
Instructor
James Casaletto
PhD Candidate
UC Santa Cruz Genomics Institute and former Senior Solutions Architect, MapR
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Workshops - Friday, May 21st, 2021

7:15 am
Workshop:

Full-day: 7:15am – 2:30pm PDT

This one-day session reveals the subtle mistakes analytics practitioners often make when facing a new challenge (the “deadly dozen”), and clearly explains the advanced methods seasoned experts use to avoid those pitfalls and build accurate and reliable models.

The Workshop Description will be available shortly.
Instructor
John Elder Ph.D.Elder Research
Founder & Chair
Elder Research
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Monday, May 24th, 2021

8:45 am
9:00 am
Lessons from: Lyft
The Session Description will be available shortly.
Session description
Speaker
Vladimir Iglovikov Ph.D.Lyft
Senior Computer Vision Engineer, Level5, Self-Driving Division
Lyft, Inc.
9:50 am
The Session Description will be available shortly.
Session description
Sponsored by
SAS
Speaker
Robert BlanchardSAS
SAS Senior Data Scientist.
SAS
10:10 am
Room change
10:20 am
Case Study: Precision Medicine

A single doctor, overworked and overwhelmed, will make a less-informed decision than a team of doctors. Now, imagine the potential knowledge we could gain if we combined insight from doctors all over the world. In this case study, we will explain how Innovative Precision Health (IPH) uses large amounts of aggregated anonymous population data to learn about the trajectory of a disease and predict the most effective treatment for a patient.  By exponentially increasing the amount of information available, IPH is able to provide better predictions for doctors, better care for patients, and profitable outcomes for insurance and pharmaceutical companies alike.

Session description
Speaker
Mark GudesblattInnovative Precision Health
Chief Medical Officer
Innovative Precision Health
11:05 am
Break & Expo Hall
11:30 am
Improving Health with Analytics

This session details for big data collected on over 1.4 million people has been used to develop AI-led, personalised interventions that are clinically-proven to reverse type 2 diabetes, which has redefined the use of digital therapeutics in the USA, Canada, United Kingdom, Germany and India. 

Session description
Speaker
Arjun PanesarDiabetes Digital Media (DDM)
Founder and CEO
Diabetes Digital Media
12:15 pm

Join your fellow practitioners in this interactive session where you can exchange approaches to shared challenges and hear how your peers are tackling similar issues.

12:45 pm
End of Day 1
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Tuesday, May 25th, 2021

8:00 am

Grab your real coffee and share experiences virtually with your peers to explore the new challenges of operating in a largely virtual world. Just like pre-show breakfast in a regular conference you’ll join a “round table” with seven fellow attendees and see where the conversation takes you.

8:55 am
Jeff DealElder Research
Chief Operating Officer
Elder Research
9:00 am
TUESDAY KEYNOTE

Medicine is an ever-unfolding quest to ensure patients receive life improving therapies to return to full life. Advances in intelligent data, AI, data automation, machine learning, and computational capability allow an efficient pursuit of better outcomes for patients while reducing health care costs. To help understand new approaches to healthcare and new forms of innovation, Maneesh Shrivastav PhD, Director of Market Development, Science and Analytics at Medtronic, will run through innovation at the medical technology company and provide examples of how the company is leveraging data science to improve patients’ lives.

Session description
Speaker
Maneesh ShrivastavMedtronic
Director of Market Development
Medtronic
9:50 am
Presentation from Leading Vendor
10:10 am
Room change
10:20 am
Turning Data into Action

Anyone can make a pretty bar graph, but can you make sound decisions based on that graph? Is it actionable, or is it only fluff? How do you turn flashy concepts into actionable visualizations? Can you see the end result of those concepts; will they ever become reality? Do you have the vision to combine beauty with brains, thereby driving decisions with data? Or do you settle for destroying direction with disaster? American mathematician John Tukey once said, "The greatest value of a picture is when it forces us to notice what we never expected to see." What value do you see in your data? And what ideas do you have when you see it? Learn how you can capitalize on your ideas by blending internal with external, leveraging them into a cohesive strategy for both the short term AND the long term. See the five "Stages of the Spectrum" in action while discovering the difference between impact and influence, and how that difference plays into making data actionable. Catch the right blend of art and science, or beauty and brains, as you go from concept to reality. 

Session description
Speaker
Joe Perez Dr.NC Dept of Health & Human Services
Senior Systems Analyst / Team Lead
NC Dept of Health & Human Services
11:05 am
Break & Expo Hall
11:30 am
Case Study: Improving Emergency Room Care and Efficiency

Hospitals make lots of efforts to improve their capacity in emergency departments by adding boxes and beds, organizing shifts, processes and protocols. And, by also implementing systems to record, control and visualize better what's the situation in real time. But decisions, the ones that ultimately drive the output of the process, are entirely left to human capacity. What if an algorithm could help selecting the sequence for attending emergency patients so that life threatening situations are prioritized and overall queueing time is shortened, with no change in the physical resources? Benjamin Arias Gálvez shares the experience at one of the largest public hospitals in Chile, where an algorithm helps sequencing the waiting queue of patients at in the emergency room in real time, with no investment in the physical resources.    

Session description
Speaker
Benjamin Arias-GálvezForesta.io
General Manager
Foresta.io
12:15 pm

Join your fellow practitioners in this interactive session where you can exchange approaches to shared challenges and hear how your peers are tackling similar issues.

12:45 pm
End of Day 2
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Wednesday, May 26th, 2021

8:00 am

Grab your real coffee and share experiences virtually with your peers to explore the new challenges of operating in a largely virtual world. Just like pre-show breakfast in a regular conference you’ll join a “round table” with seven fellow attendees and see where the conversation takes you.

8:55 am
Jeff DealElder Research
Chief Operating Officer
Elder Research
9:00 am
The Session Description will be available shortly.
Session description
Speaker
John Elder Ph.D.Elder Research
Founder & Chair
Elder Research
9:50 am
Presentation from Leading Vendor
10:10 am
Room change
10:20 am
Case Study: Capital District Physicians' Health Plan

The health care industry is changing rapidly, therefore, it’s necessary to improve efficiency to production with appropriate and targeted automation. CDPHP, a mid-size payer in New York’s Capital Region, is implementing an Analytics Factory to achieve this end. It does this using a CI/CD/CT framework. In this session, you will learn about our strategy, as well as practical lessons learned on scaling and operationalizing data products. Three use cases will be discussed to illustrate the streamlined process to production: (1) NLP-driven quality measure detection, (2) prioritizing member voice responses for action, and (3) deploying and hosting a readmission model. 

Session description
Speaker
Matthew PietrzykowskiCapital District Physicians’ Health Plan
Director, Data Science & Transformational Analytics
Capital District Physicians' Health Plan
11:05 am

Take a break or join your fellow practitioners in this interactive session where you can exchange approaches to shared challenges and hear how your peers are tackling similar issues.

11:30 am
Case Study: Real World Application of Natural Language Processing

The speaker will review case studies from real-world projects that built AI systems using Natural Language Processing (NLP) in healthcare. These case studies cover projects that deployed automated patient risk prediction, automated diagnosis, clinical guidelines, and revenue cycle optimization. He will also cover why and how NLP was used, what deep learning models and libraries were used, and what was achieved. Key takeaways for attendees will include important considerations for NLP projects including how to build domain-specific healthcare models and using NLP as part of larger and scalable machine learning and deep learning pipelines in distributed environment. 

Session description
Speaker
Veysel KocamanJohn Snow Labs
Lead Data Scientist
John Snow Labs
12:15 pm
End of Day 3
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Thursday, May 27th, 2021

8:00 am

Grab your real coffee and share experiences virtually with your peers to explore the new challenges of operating in a largely virtual world. Just like pre-show breakfast in a regular conference you’ll join a “round table” with seven fellow attendees and see where the conversation takes you.

8:55 am
Jeff DealElder Research
Chief Operating Officer
Elder Research
9:00 am
EXPERT PANEL

Analytics adoption in healthcare has come a long way over the last two decades. In the early years, advanced machine learning was limited to a handful of experts working on narrowly-defined subjects such as hospital readmissions. Among most healthcare professionals, there was limited understanding of what machine learning is, and even less eagerness to integrate analytic models into medical practice or organizational operations in any meaningful way. Today, any healthcare organization that is not using advanced analytics is an anomaly. Analytic methods are being employed almost everywhere in healthcare from insurance to precision medicine with tailored treatment plans guided by artificial intelligence. And, analytics are embedded in the systems used by hospitals, such as the HIS or the laboratory technology. Slowly, advanced analytics is being integrated throughout the healthcare system even though many professionals are not aware of its influence. Join our expert panel as we discuss the current state of analytics/machine learning, the work that remains, and opportunities to better use this incredible technology. Attendees are invited to join in the conversation and contribute questions and comments to the discussion.

Session description
Moderator
Jeff DealElder Research
Chief Operating Officer
Elder Research
9:50 am

Join your fellow practitioners in this interactive session where you can exchange approaches to shared challenges and hear how your peers are tackling similar issues.

10:10 am
Room change
10:20 am
The Session Description will be available shortly.
Session description
Speaker
Chris FranciskovichOSF Healthcare
Director, Advanced Analytics
OSF Healthcare System
11:05 am

Take a break or join your fellow practitioners in this interactive session where you can exchange approaches to shared challenges and hear how your peers are tackling similar issues.

11:30 am
Protecting the Pharmaceutical Supply Chain

Counterfeited, adulterated, and stolen pharmaceuticals are threats to US citizens. The Drug supply Chain Security Act (DSCSA) was established to secure the supply chain through various means including the establishment of an interoperable traceability system. The current industry stakeholder design is a distributed structure with exchanges between established trading partners. While this is flexible, it creates challenges to detecting nefarious activity and performing supply-demand management. We have implemented an interoperable, traceable prototype system which solves some of the problems and fulfills DSCSA requirements that must be met by 2023 .

Session description
Speaker
Jaya TripathiMITRE
Principal, Data Analytics
MITRE Corporation
12:15 pm
End of Day 4
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Friday, May 28th, 2021

8:55 am
Jeff DealElder Research
Chief Operating Officer
Elder Research
9:00 am
The Session Description will be available shortly.
Session description
Speaker
Dean AbbottAbbott Analytics
President
Abbott Analytics
9:50 am

Join your fellow practitioners in this interactive session where you can exchange approaches to shared challenges and hear how your peers are tackling similar issues.

10:10 am
Room change
10:20 am
Evaluating COVID Policy

While the counts of covid cases and deaths and policies are imperfect, the efforts to make these data available have been immense. So, despite the inaccuracy of the measurements, we can see some of the truths of what the genuine correlations are. Now is a good time to look at them through robust modeling techniques.

Session description
Speaker
Mike ThurberElder Research
Principal Scientist
Elder Research
11:05 am

Take a break or join your fellow practitioners in this interactive session where you can exchange approaches to shared challenges and hear how your peers are tackling similar issues.

11:30 am
Case Study: Reducing Ambulance Transports

Germany is a “super-aged” society with increasing demands placed on the healthcare system due to the rise in chronic diseases. The country increasingly leverages e-health solutions to accommodate a healthier older population. In conjunction with Germany’s largest health insurer Techniker Krankenkasse, we are conducting a pilot study in which we deploy predictive modeling to identify elderly at risk of emergency ambulance transport based on e-health data. A case manager reaches out to predicted high-risk patients and recommends interventions. Initial results demonstrate a significant reduction in ambulance dispatch rate. This presentation will cover predictive model development, deployment and preliminary findings. 

Session description
Speaker
Jorn op den BuijsPhilips Research
Senior Scientist
Philips Research
12:15 pm
End of Conference
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All times are Pacific Daylight Time (PDT/UTC-7)