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Machine Learning
in HealthcareAlistair Johnson, DPhil
Excitement
Excitement
Big data in healthcare
1.3 million encounters
Train a model to detect sepsis
Big data in healthcare
Final super advanced machine learning model
Systolic Blood Pressure < 100
GCS < 13
Respiratory Rate > 22
This is healthcare’s “big data” model
Why aren’t we doing better?
Challenges
It’s HARD!
Challenges
“VA data did not include GCS”
“[no fluid output] … because of poor accuracy in recording”
“[no] … thrombin, urea levels”
Final cohort: 75,000
Original
cohort
Final
cohort
The biggest barrier to
machine learning in
healthcare is the lack of
access to high quality data
MIMIC-III
eICU Collaborative Research Database
Working with the data
Workshop
Provided an extract of MIMIC-III, a publicly available ICU database
Build predictive models of in-hospital mortality
Compete with your latest and greatest algorithm!
Tomorrow, July 5th
8:30am-noon
