A novel model for accurate and fast prediction of cancer incidence

The model has successfully provided accurate short-term predictions of cancer incidence rates across all 50 American states and 54 countries since 2017.

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Publication Details

Journal
BMC Public Health
Published
2025-05-06
DOI
https://doi.org/10.1186/s12889-025-22624-4
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
0.00

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article

A novel model for accurate and fast prediction of cancer incidence

Berlanty A. Zayed, Fotouh R. Mansour, Mahmoud Hamed
BMC Public Health
Data-Driven Disease Surveillance
article

A novel model for accurate and fast prediction of cancer incidence

Berlanty A. Zayed, Fotouh R. Mansour, Mahmoud Hamed
article en

Abstract

The model has successfully provided accurate short-term predictions of cancer incidence rates across all 50 American states and 54 countries since 2017.

BMC Public HealthVol. 25(1)
Tanta University (EG), Misr International University (EG)
Science and Technology Development Fund, Tanta University
Openalex Percentile: Top 86%
Data-Driven Disease Surveillance
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