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

Project: Research Project

Project Details


Objective 1: Determine the cohorts of patients to be used, the variables to be incorporated, and the observation window.
a. Analysis of available information and integration of sources
b. Study of possible patient cohorts and observation windows.
c. Analysis of clinical indicators of disease follow-up.
Objective 2: Determination and estimation of the appropriate statistical model for making predictions
a. 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
a. Socialization and appropriation of the tool in the institutional framework 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.


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