Personal life style plays important role in a person’s health. It is now possible to analyze and understand a person’s life style. Most people use phones with myriad sensors that continuously generate data streams related to most aspects of their life. By correlating these multi-sensory data streams, it is possible to create an accurate chronicle of a person’s life. By correlating life events with health related events, obtained using wearable sensors and other common sources of information, one can build health persona of a person. Health persona of a person is a long-term objective characterization of a person’s health. By using health persona for a large group of people, one can analyze and understand health patterns and causes of different diseases in a society. In this talk, we present a framework that collects, manages, and correlates personal data from heterogeneous data sources and detects events happening at personal level to build health persona. We use several data streams such as motion tracking, location tracking, activity level, and personal calendar data. We illustrate how recognition algorithms can be applied to Life Event detection problem and then build an objective chronicle for a person. We show how this could be combined with situation detection and help people in making decisions in their every day life. In this talk, we will present our ideas related to health persona, its impact on societal health, and its use in making decisions.

1. 12/2/2013
1

2. We are Living in an Interesting Time.

3. Where do most Data Scientists apply
their Magic?
We live in a targeted world. Advertisers need
efficient ways to sift through the volume of data.

4. For a CHANGE, should we think of using
BIG Data to solve Big PROBLEMS?

5. Time for Disrupting the Undisrupted.
Invented in 1816. Has not changed much since 1940.

6. Quiz
• What does Cyber mean?
• Who and when first used the term Cyber?
• Was it intended to mean computing in cloud?

7. Communication and
Guidance in:
Machines
Man (Animals)
Societies

8. To get to your goal,
you have to know where you are NOW.

9. Knowledge leads
to Information
which determines
relevant action.
Knowledge is a
product of Data
and Information.
Knowledge
Knowledge
Information
Data
Data
to
Action
Information
Action

10. Computing the Future
Astrology
To
Astronomical
Volumes of
Data
12/2/2013
10

11. We think differently in different
situations.
Scientific Theories
Scarcity
New Scientific Principle.

12. We think differently in different situations.
Abundance
Which one to select?

13. Correlation is Mother of Causality
Correlation is Not Causality
Correlation
Causality
(insight)
Hypothesis
Test
Experiment
Design

14. Disruption Time
Until recently, you
were a folder.
Now
You are Your Data.

15. Health = Genetics + Lifestyle

16. Topol: Creative Destruction of Medicine
Wireless
Sensors
Creative
Destruction
New Medicine
Mobile
connectivity,
Bandwidth
Internet
Genomics
Social
Networking
Imaging
Information
Systems
Old Medicine
Computing
Power, Data
Universe

17. Continuous Monitoring and
Contextualized Actions
• Continuous sensors creating ‘health persona’.
• Predictive techniques for preventive advice.
• Quantitative measurements for better
control.

18. Behavior Change is the Holy
Grail of Health Care
• Understanding personal actions in context.
• Creating Personal ‘Good Health Habits’ in
own eco-system.
• Contextual persuasive pervasive feedback.
• Connected: The Surprising Power of Our
Social Networks and How They Shape Our
Lives.

19. Context = Environmental + Personal
Ongoing Evaluation of Environmental Context
Environmental Pollution
Environmental Factors
Social Factors
Improved
Public Health
Data
Tracking
Network
Prevention
Sensors
Ongoing Evaluation of Personal Context
Personal Health
Effects

20. Connecting People to Appropriate
Sick People to Medical
Resources
Services
effectively, efficiently, and promptly
in given situations.

21. Information
Connecting
Aggregation Situation
People
Alerts
and
Detection
CompositionAnd
Queries
Resources
12/2/2013
21

22. EventShop : Global Situation Detection
Satellite
Database Systems
Data
Ingestion
and
aggregation
Situation
Recognition
Evolving Global Situation
Environmental
Sensor Devices
Social Network
Need- Resource Matcher
Resources
Data Sources
Internet of Things
Recommendation
Engine
….
Actionable Information
Needs
Personal EventShop
Wearable Sensors
Personal
Situation
Recognition
Data
Ingestion
Calendar
….
Database
Location
Persona
Evolving Personal Situation

23. An actionable abstraction of spatiotemporal characteristics.
23

24. From Observations to Situations
Observations
Observed State(Situations)
Real World Events

25. Billions of data sources.
Environment for
Selecting, and
Combining
appropriate sources to detect situations.
Prediction for Pro-active actions
Interactions with different types of Users
Decision Makers
Individuals
12/2/2013
25

26. 12/2/2013
26

27. SLN for Disaster Management
Environmental
Experts
Social Sources
Disaster
Situation
Assimilation
and Control
Users
Internet of Things
Resources and
Historic Data
Information
Advice
Governmental Agencies

28. Flood
Shelter
Classify (Flood level - Shelter)
Twitter
Flood Level
Shelter
12/2/2013
28

29. 12/2/2013
29

30. Asthma (Allergies)
26 Million Americans, 300 Million Worldwide,
have Asthma.
Asthma is under-diagnosed
and under-treated.
The causes of asthma are not
completely understood.
Lifestyle changes help as much as
medication.

31. Indoor Allergens
Chemical Irritants
Smoke
Asthma Triggers
Outdoor Allergens
Air Pollution

33. Everyone’s Respiratory Health is Different
Environmental
Experts
Social Sources
Users
Disaster
Situation
Assimilation
and Control
Internet of Things
Resources and
Historic Data
Governmental Agencies
All Users are
not EQUAL.

34. What defines a person?

35. Persona: Turning Disassociated
Data into Meaningful Information
Activities
AGGREGATED PERSONAL
ANALYTICS
Media
Communications
Sensors
Persona
35

36. Explosion of FITNESS Devices
CONTINUES
36

37. Wearable 2013:
Data Data Everywhere, nor any Insight to Use.
http://www.medhelp.org/

38. Health Persona Framework:
Humans Are Actuators.
Logical Sensor
Life
Event
Personicle
Fitness Tracking Sensors
Food
Event
Physiological Sensors
Kinetic
Event
HEALTH
PERSONA
Physiological
Event

39. In Chronicle Analytics, Time
Matters.
Events Matter More, however.

40. Life Event Ontology

41. Heterogeneous event streams

42. Drive
Walk
Walk
Drive
Personicle
Moves
Meeting in DBH room
3233
Meeting with
trainer in gym
Personal Calendar
Activity Level
Laleh at University Club
Drive
Meeting Work
Walk
Home
Walk
Foursquare
Exercise
Work
Drive Eating dinner
Personicle
Time

43. Personal EventShop Platform
Environmental
Factors
Personal Data Sources
Event Streams**
Nike Fuel
Moves app
Foursquare
Raw Data Streams
Input Data
Manager
Predictive
Data
Analytics
Evolving
personal
situation
Google
Calendar
Recom.
Engine
Actionable
Information
Asthma Attack
Symptoms &
Severity
Profile Info.
Asthma History
Data Streams *
Domain
knowledge
Persona
Data
Analytics
Personal Data Warehouse
Personicle
* location stream, activity stream, motion stream, calendar stream
** life-event stream, motion-event stream, physiological-event stream, food-event stream
43

44. Scenario 1.0: Showing all three data sources: Google Calendar, Moves and Nike+
Moves
Nike +
Google Calendar

45. Scenario 1.1: Showing Personicle for walking for attending a class
Personicle
I took 832 steps to walk
from APS to my Health
Informatics class in SSL!

46. Question: What Triggers My Asthma?
• Red: “Severe asthma attack”.
Personicle
Activity Stream
• Orange: High or very high activity level.

47. Insight: Exercise Triggers My Asthma
• Red: “Severe asthma attack”.
• Orange: High activity level.
• Exercise triggers my asthma!
Personicle
t1
Activity Stream
t2
t3
t4
t5

48. Finding Insights
• Blue: Shortness of breath. The lighter the
color, the worse the symptom.
• Green: Low air pollution.
• Red to Purple: High and very high air
pollution
• Exposure to polluted air is a risk factor
of asthma attack within X hour?
Personicle case 1
Personicle case 2

49. UCI Allergy/Asthma App
Triggers
How Do You Feel?
Recommendation
Symptoms
SHORTNESS OF BREATH
CHEST TIGHTNESS OR PAIN
COUGHING
WHEEZING
Stop Judging!

50. From Persona to Societal Health
Disease Modeling
Health Persona of
different people
Geographical
location
specifications
Disease
outbreak
Environmental
factors

51. Persona and Societal Health
Use Objective Massive Volume of Personal Data for Building
Better Disease Models.
Use Disease Model and Personal Data for Better Quality of
Life.

52. Smartphone is the Personalized 24/7
Recording Stethoscope
Finally Entering 21st Century.

53. Target: Global Health Care
Smartphones.
1.3 Billion
Middle 3.8 Billion
Bottom 2 Billion
Middle of the Pyramid
(MOP) – Almost
Smartphones
Next

54. Live EventShop and Collaboration
• Live EventShop Demo
– http://auge.ics.uci.edu/eventshop/
• Current Collaborators
– Cyber-Physical Cloud Computing Project
• NICT, NIST
– SLN4MOP Project
• Sri Lanka Farmers; Prof. Ginige in Sydney leading
– Open Source EventShop
• HCL
– Traffic Analysis
• Tsinghua University

55. Thanks.
jain@ics.uci.edu