Gagniuc/Diabetes-prediction-1.0

Diabetes prediction V1.0 uses the Markov Chains method. First, this VB6 application converts a sequence of numbers into states. The states are arranged in a transition matrix and the transition probabilities are calculated for each element. Next, the transition matrix is further used for a prediction in a Markov chain.

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Experimental

This application helps healthcare practitioners, particularly those involved in diabetes monitoring, analyze patient glycemic data. It takes a sequence of daily blood glucose readings and converts them into a sequence of 'states,' then predicts future glycemic trends based on these patterns. The output helps understand the likelihood of a patient moving between different glycemic states.

No commits in the last 6 months.

Use this if you are monitoring individuals with a family predisposition to diabetes and want to predict short-term glycemic changes based on daily blood sugar levels.

Not ideal if you need to diagnose diabetes, model complex biological systems, or require long-term predictive analytics beyond immediate glycemic trends.

diabetes-monitoring glycemic-analysis predictive-health patient-risk-assessment
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 0 / 25

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25

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Language

Visual Basic 6.0

License

MIT

Last pushed

Nov 18, 2022

Commits (30d)

0

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