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Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models

PaperCitations, authors & open-access status

Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models have?

ScholarIQcitation count

Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models has 38 citations in the OpenAlex counts ScholarIQ stores.

When was Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models published?

ScholarIQyear

Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models has 2017 year in the ScholarIQ index.

What is the open-access status of Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models?

ScholarIQoa status

Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models has gold oa status in the ScholarIQ index.

What is the DOI of Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models?

ScholarIQdoi

The DOI for Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models is on the source record.

What is the PMID of Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models?

ScholarIQpmid

The PMID for Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models is on the source record.

What is the OpenAlex record for Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models?

ScholarIQopenalex

The OpenAlex for Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models is on the source record.

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