Casey C. Bennett
Artificial Intelligence in Healthcare
1Dept. of InformaticsCenterstone Research Institute
Nashville, TN, USA
2School of Informatics and ComputingIndiana University
Bloomington, IN, USA
Cognitive Offload
We can make predictions and discover patterns, but what do you do with them?
Data
Patterns
Predictions
Decisions
Building a Pipeline
Temporal Models
Markov Decision Processes (MDPs)
Dynamic Decision Networks (DDNs)
Clinical Indicators
Socio-demographic
Genetic Data
Etc.
Patterns
Make PredictionsMake Decisions
Machine Learning/Statistical Techniques – predict risk stratification, treatment response , survival, re-hospitalization, LOS, etc.
Step 1Step 2Step 3
a = Action/Treatments = Patient Stateo = Observationc = Costst = Timecpuc = Utility
Transition Models
Predictions
Patterns
Make DecisionsStep 3
a = Action/Treatments = Patient Stateo = Observationc = Costst = Timecpuc = Utility
Belief States
Plan over Time
Plan/re-plan
Bennett CC and K Hauser (2013) “Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach.” Artificial Intelligence in Medicine. 57(1): 9-19.
Bennett CC and K Hauser (2013) “Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach.” Artificial Intelligence in Medicine. 57(1): 9-19.
Data
Patterns
Predictions
Decisions
Building a Pipeline
Temporal Models
Simplification
Components to classify/cluster/etc.
21
Find Patterns Make Decisions
Components that determine optimal actions, based on
those patterns
Natural SelectionRelativity
Darwin Einstein
Cognitive Computing
IBM and others
Botvinick M (2012) “Heirarchical Relational Learning and Decision Making.” Current Opinions in Neurobiology. 22(6): 956-962.
The Future?
Personalized AI?
Ongoing Collaborations
Thank you
- www.CaseyBennett.com
- http://r-house.soic.indiana.edu/ - IU Human-Robot Interaction Lab
- www.CenterstoneResearch.org - CRI