OBSERVATIONAL

STUDIES

CURIOUS LOOK INTO AVAILABLE DATA

FROM THE CT.GOV REGISTRY

Making sense of large data

sets has always been a

daunting task, and every

tool that makes the life of

an analyst easier is worth

exploring.

This is how trial version of

IBM Watson visualizes the

data available.

The dataset was minimally

processed to reflect priority

information requirements, in

this case insight into the

most commonly used study

designs over time.

Breakdown of cumulative number of studies by type of funding

Breakdown of cumulative number of studies by interventions

Breakdown of cumulative number of studies by observational model

Breakdown of cumulative number of studies by recruitment

Breakdown of cumulative number of studies by gender

Distribution of number of enrolled patients by study design

Distribution of number of enrolled patients by time perspective

Distribution of number of observational studies by type of funding

Distribution of number of observational studies by type of funding

Distribution of number of observational studies by gender

Distribution of number of observational studies by gender

Distribution of number of observational studies by intervention

Distribution of number of observational studies by intervention

Distribution of number of observational studies by intervention

Distribution of number of observational studies by intervention

Distribution of number of observational studies by recruitment

Distribution of number of observational studies by recruitment

Distribution of number of observational studies by phase

Distribution of number of observational studies by phase

Distribution of number of observational studies by time perspective

Distribution of number of observational studies by time perspective

Distribution of number of observational studies by study results