Presentatie van Gerard Jansen (CEO Alan Turing Institute) - ‘Alan Turing Institute: brengt data tot leven’ tijdens het Big Data Analytics seminar 14 juni in Almere

1. Bring data to life!
Alan Turing Institute Almere (ATIA)
Gerard Jansen, CEO

2. Content
• Alan Turing Institute Almere (ATIA)
• Personalised Medicine
• Clinical Data
• Reasoning with Patient Data
• Clinical Decision Support
• Conclusions
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3. Alan Turing Institute Almere
• Started as the R&D department of Emotional
Brain B.V.
• Separated & founded as ATIA in July 2009
• Public and private funding
– National, regional and local government
– Emotional Brain (and other private funding)
• Who was Alan Turing (1912-1954) ?
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4. Mission ATIA
Source: Topsectorplan Life Sciences & Health, page 6
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5. Vision on health & care
• From one-size-fits all diagnose-therapy model to
personalised medicine model
• Possible as a result of revolutionary technology
and evolutionary development of medicine
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6. Trends and drivers
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7. Paradigm shift
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8. Clinical big data
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9. Usable data
• Big data is about volume & complexity
• Unstructured & structured data
• From data to information
• From information to knowledge
• From knowledge to decisions
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10. Reasoning with
patient data
Raw data
Useable data
(Conditions)
HeMAS
Common Deductive Inductive
Knowledge Reasoning Reasoning
Experience, Skills,
Attitude 10

11. Reasoning with patient data
• Knowledge modelling
– Literature
– Guidelines & protocols
– Raw data (datamining)
• Advanced analytics
– Inductive techniques (interactions, non-linear)
• Pattern recognition
• Variable selection
• Classification
• Generating hypothesis
– Deductive techniques
• If-then rules
• It’s al about explaining & predicting
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12. ATIA toolbox
sequential and/or parallel agents
Inductive Deductive
Reasoning Reasoning
Machine learning Bayesian network Rule based
Rikku Nabby Ceres
Pattern recognition Data mining / Classification If Then Else rules
Interaction Information Regression analysis Rule based
Lenny Reggie Juno
Variable selection Variables model fitting If Then Else rules
Tree Classification Assoc. Rule Learning
Moku Fregol
Armas first order predicate logic
Classification Hypothesis generation
Clustering Case Based Reasoning
K-means Casey
Classification Look for most similar patient
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13. ‘Intuitive medicine’
Experience Therapy
Skills decision
Attitude
Source: IBM
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14. ‘Precision Medicine’
HeMAS:
heterogeneous multi-agent
system
Experience
Skills
Attitude
Source: IBM
Knowledge
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15. Clinical Decision Support
• Combining objective patient information with
experience, skills and attitude of the medical
professional
• The result is knowledge (insight and
understanding) of complex medical problems
• This knowledge supports the decisions on
medical interventions
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16. ATIA model
Inference mechanisms
Data preprocessing & Decision
(inductive & deductive
knowledge representation support
reasoning)
Unstructured data
Information
Structured data Findings
HeMAS Experience, skills
& attitude
Effect/Outcome
Knowledge
(insights & understanding)
Intervention Decision 16

17. Conclusions
• Explosions of the healthcare cost drives the
paradigm shift to real personalised medicine
• Asks for big investments in innovative
techniques and practices
• Topsector policy on life sciences and health (on
a national and European level) supports this
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18. ATIA:
BRINGS DATA TO LIFE
Thank you for your attention!
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19. Colofon
Alan Turing Institute Almere
Louis Armstrongweg 84
1311 RL Almere
The Netherlands
Phone: +31 365345985
E-mail: info@ati-a.nl
Web: www.ati-a.nl
Conferentiewebsite: www.atiaconference.nl
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