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.

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Perfect Partnership – Machine Learning & CDISC
Kevin Lee
Director of Data Science

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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.

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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.

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Common Characteristics of Exponential
Organization
Data
Algorithm (Machine Learning/AI)
Exponential &
Scalable Growth

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How Data and Algorithms help the exponential
growth
More Data
Better
Algorithms
(ML/AI)
Better
Products
More
Users

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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.

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Explicit Programming vs Machine Learning
Explicit Programming Machine Learning

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How does Human Learn? - Experience

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How does Machine Learn?
Algorithm
Test Data (cats)
Real Data
cat

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More data,
better model
X
Y
X
Y Different data,
different model

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Data Quality in Machine Learning
Garbage in Garbage out

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The economist – The world’s most valuable
resource is no longer oil, but DATA.

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Can Pharmaceutical be the exponential organization?
Pharm =
exponential organization
????

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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

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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

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Clinical Trial Data with ML/AI for Patients/Doctor
Machine Learning/ AI
CDISC
Clinical
Trial
Data
Patients/
Doctors/
Healthcare
Providers/
Drug
Companies

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CDISC with Machine Learning
Algorithm
CDISC
(Test
Data)
Real
World
Data
Prediction

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CDISC + Machine
Learning
More than drug
Drugs &
Experience
Conclusion
What Apple gives us?

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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