Develop and implement in SISCAC a statistical model based on information from the High Cost Account, to make predictions about (i) the progression of the disease, (ii) the performance indicators of the EAPB of the diabetes cohort.

Project: Research Project

Project Details


Objective 1: Determine the patient cohorts to use, the variables to incorporate, and the observation window.

to. Analysis of available information and integration of sources.

b. Study of possible patient cohorts and observation windows.

c. Analysis of clinical indicators of disease monitoring.

Objective 2: Determination and estimation of the appropriate statistical model for making the predictions.

to. Definition of risk factors.

b. Training and testing of machine learning models.

c. Analysis of results and validation by experts.

Objective 3: Incorporate the model into the SISCAC system

to. Socialization and appropriation of the tool in the institutionality of the CAC.


Health economics, Statistical model, Diabetes.
Effective start/end date7/15/2112/31/21

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 16 - Peace, Justice and Strong Institutions

Main Funding Source

  • National


  • Bogotá D.C.


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.