Perfect partnership - machine learning and CDISC standard data
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The presentation discusses the intersection of machine learning and Clinical Data Interchange Standards Consortium (CDISC), emphasizing how these technologies can transform pharmaceutical data management and clinical trials. It highlights the exponential growth driven by better data and algorithms, illustrating the practical applications in healthcare. The speaker, Kevin Lee, posits that machine learning can facilitate enhanced patient outcomes and more effective drug development.
Perfect partnership - machine learning and CDISC standard data
- 1. 1 Perfect Partnership – Machine Learning & CDISC Kevin Lee Director of Data Science
- 2. 2 The views and opinions expressed in the following PowerPoint slides are those of the individual presenter and should not be attributed to Drug Information Association, Inc. (“DIA”), its directors, officers, employees, volunteers, members, chapters, councils, Communities or affiliates, or any organization with which the presenter is employed or affiliated. These PowerPoint slides are the intellectual property of the individual presenter and are protected under the copyright laws of the United States of America and other countries. Used by permission. All rights reserved. Drug Information Association, Drug Information Association Inc., DIA and DIA logo are registered trademarks. All other trademarks are the property of their respective owners. Disclaimer – Content Slide
- 3. 3 Q1 : World’s Largest Transportation Company? In January 2018, there is about 7,000,000 “drivers”. The uber is operating in 600 cities in 78 countries. There has been 5 billion rides. Uber – about 85% of US hailing market.
- 4. 4 Q2 : World’s Largest Accommodation Provider? There are more than 4.5 million Airbnb listings in 81,000 cities. Airbnb hosts have earned $41 billion in 10 years. As of June’17, Airbnb’s total valuation is about $31 billion.
- 5. 5 Common Characteristics of Exponential Organization Data Algorithm (Machine Learning/AI) Exponential & Scalable Growth
- 6. 6 How Data and Algorithms help the exponential growth More Data Better Algorithms (ML/AI) Better Products More Users
- 7. 7 What is Machine Learning? An application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
- 8. 8 Explicit Programming vs Machine Learning Explicit Programming Machine Learning
- 9. 9 How does Human Learn? - Experience
- 10. 10 How does Machine Learn? Algorithm Test Data (cats) Real Data cat
- 11. 11 More data, better model X Y X Y Different data, different model
- 12. 12 Data Quality in Machine Learning Garbage in Garbage out
- 13. 13 The economist – The world’s most valuable resource is no longer oil, but DATA.
- 14. 14 Can Pharmaceutical be the exponential organization? Pharm = exponential organization ????
- 15. 15 Gold mines - Clinical trial data in Pharmaceutical industries Clean – Pharma companies spent a lot of hours to clean the data. Unbiased - Prospective study, randomized Blinded – double-blinded Structured Metadata Standards – CDISC Already pharmaceutical companies already owned the data. Data in Pharmaceutical industry
- 16. 16 Main purpose - for the submission No or limited analysis after submission Do not know exactly where clinical trial data is Limited/No access No CDR (Central Data Repository) What is the reality of clinical trial data
- 17. 17 Clinical Trial Data with ML/AI for Patients/Doctor Machine Learning/ AI CDISC Clinical Trial Data Patients/ Doctors/ Healthcare Providers/ Drug Companies
- 18. 18 CDISC with Machine Learning Algorithm CDISC (Test Data) Real World Data Prediction
- 19. 19 CDISC + Machine Learning More than drug Drugs & Experience Conclusion What Apple gives us?
- 20. 20 Kevin Lee Director of Data Science kevin.kyosun.lee@gmail.com Twitter @HelloKevinLee LinkedIn https://www.linkedin.com/in/HelloKevinLee/ Join the conversation #DIA2018 Thank You