Big data changing lives Floortje Scheepers, MD PhD, head of the department of Psychiatry UMC Utrecht big data expo 21 september 2016 Volume veloc ity valu€ veracit y varie ty
Big data changing lives
Floortje Scheepers, MD PhD, head of the department of Psychiatry UMC Utrechtbig data expo 21 september 2016
Volume
velocityvalu€
veracity
variety
01-05-2023
What is changing?
Egge vd Poel, datascientist, Erasmus
Patient citizen
Doctor ICT
treatment Based on TrialsBased on clinical intelligence
data explosion
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Exposome
Genome
Microbiome
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• Sensordata
• Data and user driven science and patient empowerment
• risk profiling based on normative models in stead of causality
• (complex) models and analytics
• P4 medicine (predictive, preventive, personalized, participating)
• Combining domains!!
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From ‘big’ to one and back
Symptoms Brain function Genes
What do we know about the disturbed mind?
1. DSM was born 1952
schizophrenia mania depression Autism
2. Investigating the brain
Structure Activity Function
3. Investigating genes
4. EPI-genetics
5. Vulnerability versus resilience
1. Selection bias: ‐ severe patients not included‐ Co-morbidity not included
2. Brain changes over time:‐ Brain plasticity/adaptation‐ Effect of development‐ Effect of medication
3. Environmental influences changes over time!
4. Results overlap, don’t stick to classification
Problems current research to overcome
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Research vs real life
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Governance
National data like psychiatric (Nemesis) and healthy (CBS)
Regional data like psychiatric (casusregister) and healthy (municipal/youth cohort)
All psychiatric patients of one local hospital
individual psychiatric
patient profile
collectIntegrate
Explore
Analyse
Research Data Platform (RDP)
Lokale opslag
RDP Python Jupyter Excel
SynerScope Postgres
SynerScope R
PseudonymisePrepare
apply
Applications
Two different worlds meet
Hackathons
Aanpak
From descriptive through predictive to prescriptive…
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themes• Medication use (short acting vs long acting)
• Aggression (prediction models; written notes in EPF)
• Duration of submission (blue, green)
• Wearables (stress level, activity, sleep)
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New problems to overcome
• FAIR (findable, accessible, interoperable, re-usable)
• Privacy, ownership• From molecular to system level to organism level• Data storage and processing• Management and analytics (error correction,
normalization, mathematical modelling, computational simulation)
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Compute visits the data → mental health consortium
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Aggregation/conclusion algorithms on serial/parallel analyses of (encrypted) datasets → norm profiles replicate/validate
2020: A patient is referred to the hospital
The psychiatric fingerprint is already known
Enough time for a personal conversation about needs
A personalized diagnose and treatment plan
Questions?