Estimating disparities in breast cancer screening programs towards mortality, case fatality, and DALYs across BRICS-plus

Mubarik, Sumaira; Malik, Saima Shakil; Yanran, Zhang; Hak, Eelko; Nawsherwan,; Wang, Fang; Yu, Chuanhua

doi:10.1186/s12916-023-03004-4

Cited by 4 publications

(1 citation statement)

References 55 publications

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“…Breast cancer has reached the status of one of the most common cancers faced by women worldwide, and despite improvements in survival rates since the 1990s, thanks to early detection programs and the development of more effective medical therapies, this challenge remains a focus of attention. major in the world of health in 2023 [4].…”

Section: Introductionmentioning

confidence: 99%

Breast tumor classification using adam and optuna model optimization based on CNN architecture

Sari,

Rachmawanto,

Daniati

et al. 2024

J. Soft Comput. Explor.

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Breast cancer presents a significant challenge due to its complexity and the urgency of the intervention required to prevent metastasis and potential fatality. This article highlights the innovative application of Convolutional Neural Networks (CNN) in breast tumor classification, marking substantial progress in the field. The key to this advancement is the collaboration among medical professionals, scientists, and artificial intelligence experts, which maximizes the potential of technology. The research involved three phases of training with varying proportions of training data. The first training phase achieved the highest accuracy rate of 99.72%, with an average accuracy of 99.05% in all three phases. Metrics such as precision, recall, and F1 score were also highly satisfactory, underscoring the model's efficacy in accurately classifying breast tumors. Future research aims to develop more complex and precise predictive models by incorporating larger and more representative datasets. This progression promises to improve understanding, prevention, and management of breast cancer, offering hope for significant advances in 2024 and beyond.

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Section: Introductionmentioning

confidence: 99%

Breast tumor classification using adam and optuna model optimization based on CNN architecture

Sari,

Rachmawanto,

Daniati

et al. 2024

J. Soft Comput. Explor.

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Estimating disparities of prostate cancer burden and its attributable risk factors for males across the BRICS‐plus, 1990–2019: A comparable study of key nations with emerging economies

Luo,

Huang,

Luan

et al. 2024

The Prostate

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BackgroundsThe study aimed to analyze epidemiology burden of male prostate cancer across the BRICS‐plus, and identify potential risk factors by assessing the associations with age, period, birth cohorts and sociodemographic index (SDI).MethodsData were extracted from the Global Burden of Disease Study 2019. The average annual percent change (AAPC) was calculated to assess long‐term trends, and age‐period‐cohort analysis was used to analyze these three effects on prostate cancer burden. Quantile regression was used to investigate the association between SDI and health outcomes.ResultsThe higher incidence and mortality were observed in Mercosur and SACU regions, increasing trends were observed in prostate cancer incidence in almost all BRICS‐plus countries (AAPC > 0), and EEU's grew by 24.31% (%AAPC range: ‐0.13–3.03). Mortality had increased in more than half of countries (AAPC > 0), and SACU grew by 1.82% (%AAPC range: 0.62–1.75). Incidence and mortality risk sharply increased with age across all BRICS‐plus countries and globally, and the peak was reached in the age group 80–84 years. Rate ratio (RR) of incidence increased with birth cohorts in all BRICS‐plus countries except for Kazakhstan where slightly decrease, while mortality RR decreased with birth cohort in most of BRICS‐plus countries. SDI presented significantly positive associations with incidence in 50 percentiles. The deaths attributable to smoking declined in most of BRICS‐plus nations, and many countries in China‐ASEAN‐FTA and EEU had higher values.ConclusionProstate cancer posed a serious public health challenge with an increasing burden among most of BRICS‐plus countries. Age had significant effects on prostate cancer burden, and recent birth cohorts suffered from higher incidence risk. SDI presented a positive relationship with incidence, and the smoking‐attributable burden was tremendous in China‐ASEAN‐FTA and EEU region. Secondary prevention should be prioritized in BRICS‐plus nations, and health policies targeting important populations should be strengthened based on their characteristics and adaptability.

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Exploring the global impact of obesity and diet on dementia burden: the role of national policies and sex differences

Cao,

Peng,

et al. 2024

GeroScience

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Estimating disparities in breast cancer screening programs towards mortality, case fatality, and DALYs across BRICS-plus

Cited by 4 publications

References 55 publications

Breast tumor classification using adam and optuna model optimization based on CNN architecture

Breast tumor classification using adam and optuna model optimization based on CNN architecture

Estimating disparities of prostate cancer burden and its attributable risk factors for males across the BRICS‐plus, 1990–2019: A comparable study of key nations with emerging economies

Exploring the global impact of obesity and diet on dementia burden: the role of national policies and sex differences

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