Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

Reinventing healthcare: Early detection of Alzheimer’s disease with deep learning

Ayin Vala (DeepMD | Foundation for Precision Medicine)
1:50pm–2:30pm Wednesday, March 7, 2018
Strata Business Summit
 Location: 210 D/H
Average rating: ****.
(4.33, 3 ratings)

Who is this presentation for?

  • Data scientists, engineers, and healthcare experts

Prerequisite knowledge

  • Basic familiarity with machine learning

What you'll learn

  • Understand how to tackle obstacles for utilizing data science in the healthcare industry and why Alzheimer’s disease is so challenging
  • Learn how to use collaborative filtering methods to select control match groups, develop machine learning models, and evaluate the results on the hold-out patient datasets

Description

Machine learning and artificial intelligence have had a noticeable impact on the transportation, information technology, and finance sectors, but these successes have not been fully realized in medicine. However, that is changing. Computing has become very powerful, and analytics algorithms have become smart enough to spot patterns in patient characteristics and treatments to provide discovery.

Ayin Vala explains how to use the power of big data and AI to treat challenging diseases with personalized medicine, which takes into account individual variability in medicine intake, lifestyle, and genetic factors for each patient, leading to better care for patients and saving cost for hospitals. Ayin offers an overview of a project funded by the National Institute of Aging to help identify Alzheimer’s disease patients at high risk of hospitalization, using medication regimens, comorbidities, risk factors, and care programs.

Topics include:

  • How to reinvent healthcare with data science
  • The challenges Alzheimer’s disease presents the healthcare industry
  • Gathering Alzheimer’s data from 70,000 patient records
  • Collaborative filtering methods to select patient control match groups
  • Developing machine learning and deep learning models
  • Measuring model performance
  • Visualizing patient results and how to change the trajectory of disease
  • Decision support dashboards to be implemented in Alzheimer’s facilities
Photo of Ayin Vala

Ayin Vala

DeepMD | Foundation for Precision Medicine

Ayin Vala is the founder of DeepMD and cofounder and chief data scientist at the nonprofit organization Foundation for Precision Medicine, where he and his research and development team work on statistical analysis and machine learning, pharmacogenetics, molecular medicine, and sciences relevant to the advancement of medicine and healthcare delivery. Ayin has won several awards and patents in the healthcare, aerospace, energy, and education sectors. Ayin holds master’s degrees in information management systems from Harvard University and mechanical engineering from Georgia Tech.