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- Production optimisation through feedback analysis
- Satisfaction questionnaire analysis
- Health trajectory analysis
- Biocomputing transcriptome analysis
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- Organization name identification
- Implementation of a Bayesian score
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»Products»BayesiaLab»Resources»Case studies»Health trajectory analysis
Health trajectory analysis
medical needs forecast with BayesiaLab
The databases of the French Health Insurance contain accurate descriptions of the health care trajectories. It is then possible to build a probabilistic model of the patient's behavior to evaluate the impact of the health care demand evolution on the existing health organizations.
BayesiaLab has been used in a study concerning a population
made of elderly patients (more than 15 000 patients) to build a health typology that fits the new demographic issue.
BayesiaLab has allowed to build dynamical models representing the dependency evolution and to compare the prediction of those models with real data.
BayesiaLab also allows measuring the regularity of the heath care consumption, post by post, and then to predict
the evolution of the need. The network below illustrates such predictive model. MED, PHA, ART represent the
reimbursements of the medical consultations, the reimbursements of the pharmaceutical costs, and the reimbursements of
the sick leaves respectively.
