Log in to save to my catalogue

Artificial Intelligence Algorithms in Predictive Factors for Hematologic Toxicities During Concurren...

Artificial Intelligence Algorithms in Predictive Factors for Hematologic Toxicities During Concurren...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3123806652

Artificial Intelligence Algorithms in Predictive Factors for Hematologic Toxicities During Concurrent Chemoradiation for Cervical Cancer

About this item

Full title

Artificial Intelligence Algorithms in Predictive Factors for Hematologic Toxicities During Concurrent Chemoradiation for Cervical Cancer

Publisher

United States: Cureus Inc

Journal title

Curēus (Palo Alto, CA), 2024-10, Vol.16 (10), p.e70665

Language

English

Formats

Publication information

Publisher

United States: Cureus Inc

More information

Scope and Contents

Contents

The most recent research conducted for the International Federation of Gynecology and Obstetrics indicates that, depending on the stage of cervical cancer (CC), several therapies can provide similar overall survival and progression-free survival rates. To determine the hematologic toxicities during concurrent chemotherapy for cervical cancer, we ev...

Alternative Titles

Full title

Artificial Intelligence Algorithms in Predictive Factors for Hematologic Toxicities During Concurrent Chemoradiation for Cervical Cancer

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_3123806652

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3123806652

Other Identifiers

ISSN

2168-8184

E-ISSN

2168-8184

DOI

10.7759/cureus.70665

How to access this item