INFORMATION VISUALIZATIONINFO. VIS. “ Using visual representations and interaction techniques, which take advantage of the human eye’s broad bandwidth pathway into the mind, to allow users to see, explore, and understand large amounts of information at once.” [Wikipedia]!
Anscombe’s quartet #1 #2 #3 #4 Property Value Mean of X 11.0 Variance of X 10.0 Mean of Y 7.5 Variance of Y 3.75 Correlation between X and Y 0.816 Linear regression y = 3.0 +0.5x Identical statistics
INFORMATION VISUALIZATION Visual representation + User interactions click, drag, zoom, select, etc.!
HealthcareElectronic medical records (EMRs) “ To improve the quality of our health care while lowering its cost, we will make the immediate investments necessary to ensure that, within ﬁve years, all of Americas medical records are computerized. This will cut waste, eliminate red tape and reduce the need to repeat expensive medical tests. But it just wont save billions of dollars and thousands of jobs; it will save lives by reducing the deadly but preventable medical errors that pervade our health-care system.” [President Barack Obama – Jan 2009]!
EMRs + INFO. VIS.A lot of data! Help understand data!
Lifelines user study Faster decision Better recall
Lifelines One patientDemographic- Gender- Age- … x [Plaisant et al. 1998]! Medical Events* - Emergency room on Jan 15 - Surgery on Oct 1 - … http://www.cs.umd.edu/hcil/lifelines!
Lifelines 2Multiple patientsxxxxx [Wang et al. 2008, 2009]! http://www.cs.umd.edu/hcil/lifelines2!
Case study Contrast-induced nephropathy Radiographic Examination (Medical Imaging) e.g. X-ray using a contrast agent e.g. Iodine, Barium x Creatinine - Amino Acid Damage to the kidney - Levels in blood reflect kidney function
Data : contrast & creatinine CREAT- Normal level of Creatinine RADIOLOGY Radiographic exam (with contrast) CREAT-H High level of Creatinine (bad) x Time Jan Feb Mar Apr
collected visual representation large eye interactions rich EMRs + INFO. VIS. A lot of data! Help understand data! and more… Lifelines LifeFlow Save more lives Lifelines 2 Patientslikeme / i2b2 / BTRIS Many case studies / etc. Krist wongsuphasawat @kristwongz firstname.lastname@example.org! http://www.cs.umd.edu/hcil/temporalviz!
Other examplesVisualizations in the Medical Domain