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A Computationally Effective Remote Health Monitoring Framework using AGTO-MLRC Models for CVD Diagno...

A Computationally Effective Remote Health Monitoring Framework using AGTO-MLRC Models for CVD Diagno...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_kisti_ndsl_JAKO202430943209414

A Computationally Effective Remote Health Monitoring Framework using AGTO-MLRC Models for CVD Diagnosis

About this item

Full title

A Computationally Effective Remote Health Monitoring Framework using AGTO-MLRC Models for CVD Diagnosis

Publisher

한국인터넷정보학회

Journal title

KSII transactions on Internet and information systems, 2024-09, Vol.18 (9), p.2512-2545

Language

Korean

Formats

Publication information

Publisher

한국인터넷정보학회

More information

Scope and Contents

Contents

One of the biggest challenges for the medical professionals is spotting cardiovascular issues in the earliest stages. Around the world, Cardiovascular Diseases (CVD) are a major cause of death for almost 18 million people each year. Heart disease is therefore a serious concern that needs to be treated. The numerous elements that affect health, such...

Alternative Titles

Full title

A Computationally Effective Remote Health Monitoring Framework using AGTO-MLRC Models for CVD Diagnosis

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_kisti_ndsl_JAKO202430943209414

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_kisti_ndsl_JAKO202430943209414

Other Identifiers

ISSN

1976-7277

E-ISSN

1976-7277

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