Abstract
This proposal presents a comprehensive investigation of cervical cancer frequency and patterns, with a focus on a multi-national perspective, particularly highlighting the circumstance in Bangladesh. Utilizing a mix of auxiliary information survey, comparative investigation, and predictive modeling, this study sheds light on the worldwide landscape of cervical cancer, emphasizing disparities in rate, screening hones, and healthcare framework. The inquire about utilizes machine learning calculations, especially linear regression, to extend future patterns of cervical cancer in Bangladesh up to 2050. Moreover, an in-depth examination of statistical, clinical, and treatment characteristics of 223 cervical cancer patients in Bangladesh offers basic bits of knowledge into components affecting results. Key discoveries uncover noteworthy fluctuations in treatment and discovery techniques over nations, underscoring the requirement for more harmonized worldwide healthcare approaches. The predictive analysis indicates a potential stabilization in cervical cancer cases in Bangladesh, suggesting a positive trend due to ongoing healthcare efforts. This proposition contributes to the existing body of information on cervical cancer, giving profitable bits of knowledge for healthcare arrangement definition and execution precisely in resource-limited settings.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: World Journal of Biology Pharmacy and Health Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
