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An Optimization-Based Diabetes Prediction Model Using CNN and Bi-Directional LSTM in Real-Time Envir...

An Optimization-Based Diabetes Prediction Model Using CNN and Bi-Directional LSTM in Real-Time Envir...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a9e431be84da4ed1858a0e09c18b511d

An Optimization-Based Diabetes Prediction Model Using CNN and Bi-Directional LSTM in Real-Time Environment

About this item

Full title

An Optimization-Based Diabetes Prediction Model Using CNN and Bi-Directional LSTM in Real-Time Environment

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2022-04, Vol.12 (8), p.3989

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Diabetes is a long-term illness caused by the inefficient use of insulin generated by the pancreas. If diabetes is detected at an early stage, patients can live their lives healthier. Unlike previously used analytical approaches, deep learning does not need feature extraction. In order to support this viewpoint, we developed a real-time monitoring...

Alternative Titles

Full title

An Optimization-Based Diabetes Prediction Model Using CNN and Bi-Directional LSTM in Real-Time Environment

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a9e431be84da4ed1858a0e09c18b511d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a9e431be84da4ed1858a0e09c18b511d

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app12083989

How to access this item