Personal health dashboards through Quantified Self appsWorkshop on ICT for Healthy Ageing, Leuven, 14 mei 2013

Erik Duval, Joris KlerkxJan Aerts, Andrew vande Moerehttp://erikduval.wordpress.com

@ErikDuval

1

http://www.slideshare.net/erik.duval

2

3

Music

Technology Enhanced Learning

e-health

Research 2.0

Data visualization at ESAT:

•Opening black box of machine learning algorithms for gene and variant (mutation) prioritization•Helping domain experts to identify optimal parameter settings of automated algorithms•Identification of structural genomic variation•Insight in change of gene expression over time in embryos

professional expert

Visual  Analy+cs

• Data  visualiza+on  =  “computer-­‐based  system  providing  visual  representa+ons  of  datasets  intended  to  help  people  carry  out  some  task  more  effec+vely”  (T.  Munzner)

• Visual  analy+cs  –  focuses  on  suppor+ng  analy+cal  reasoning  through  interac+ve  interfaces

• Key:  convert  cogni+ve  task  into  percep+ve  one

• Involves:–Scalable  computa+on  &  machine  learning–Design  and  human  percep+on–Domain  knowledge  (for  ESAT:  gene+cs  &  genomics)

• Aims:–Data  explora+on–Deep  insight  (e.g.  into  parameter  space  of  automated  algorithms;  “opening  the  black  box”)

–hypothesis  genera+on  to  ini+ate  further  analysis

Visual  encodingStructural  genomic  varia+on

Copy  number  varia+on

Hypothesis  genera+on  for  network  analysis

Jan  Aerts,ESATjan.aerts@esat.kuleuven.be

8

9

10

11

‘consumer’

always connected,& quantifying everything

https://as-emurgency.appspot.com/

The notification system

PUBLIC DISPLAY SCENARIO

Cardiac arrest happening in railway station

Patients’ clothes, monitoring his vital signs, sends out automatic

notification to 112 & all public infoscreens in the neighbourhood

Message is displayed on infoscreen: “CPR needed on track 6”

Railway Station of Liège-guillemins

quantifying everything

http://quantifiedself.com/

18

20

21

awareness

(self) reflection

sense making

impact

data

questions

answers

behavior change or new meaning

participatory design

25

http

://m

ume1

1.sn

akefl

ash.

com

/

http://jlsantoso.blogspot.com/

26

evaluationusable & useful

1 2 3 4 5 6 7

12

34

5

#lak% #uc3m% #cgiar% #peno3% #thesis%supervisors%

#thesis%students%

#chikul%

Score%

teachers%

students%

perc

eive

d us

eful

ness

29

http://developer.runkeeper.com/healthgraph 30

31

issues

patient empowerment

http

://w

ww

.flic

kr.c

om/p

hoto

s/re

ighl

ebla

nc/1

3721

7617

7/

controle

37

38

privacy

40

41

Fear

Uncertainty

Doubt

42

Transparency

44

?http://erikduval.wordpress.com/

@ErikDuval