IMPACT OF COVID-19 ON BREAST CANCER SCREENING PROGRAM (BCSP) IN INDIA

Q4 Engineering
Sashikanta Prusty, S. Dash, S. Patnaik, Sushree Gayatri Priyadarsini Prusty
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引用次数: 0

Abstract

In the past three years, covid-19 viruses have spread rapidly worldwide, while low and middle-income countries were affected mostly so far. Emergency limits were imposed due to the rapid infection and significant mortality rates. Only emergency medical treatments are available during these shutdowns and lockdowns in India. All non-emergency treatments, such as Breast Cancer Screening Program (BCSP), have been temporarily halted due to the huge number of deaths caused by coronavirus. However, the ability of BC screening programs to improve survival rates while lowering mortality rates has been well demonstrated. Suspension may result in poorer outcomes for patients with BC. In this regard, early detection and treatment are critical for increased survival and long-term quality of life. Thus, we have taken breast cancer patients' data for the last six years i.e. from 2016 to 2021 in India to properly evaluate and analyze for our research. Assessing recent results for various features from, modeled evaluations can aid pandemic responses. Besides that, we proposed a novel method that implements the EDA technique to graphically represent BC patients' data. This experiment was done using Python programming language on Jupyter 6.4.3 platform. We found the sudden rise of BC patients from lakhs to millions in 2019. This signifies the deadly coronavirus has greatly affected people during the pandemic days when people are more serious about this virus rather than screening their breasts.
2019冠状病毒病对印度乳腺癌筛查计划的影响
在过去三年中,新冠肺炎病毒在全球范围内迅速传播,而中低收入国家迄今为止受到的影响最为严重。由于感染速度快,死亡率高,因此实施了紧急限制。在印度的这些关闭和封锁期间,只有紧急医疗服务可用。由于冠状病毒导致大量死亡,所有非紧急治疗,如癌症筛查计划(BCSP),都已暂时停止。然而,BC筛查项目在提高生存率的同时降低死亡率的能力已经得到了很好的证明。对于BC患者,暂停治疗可能会导致较差的结果。在这方面,早期发现和治疗对于提高生存率和长期生活质量至关重要。因此,我们获取了过去六年(即2016年至2021年)印度乳腺癌症患者的数据,以便为我们的研究进行适当的评估和分析。评估建模评估的各种特征的最新结果可以帮助应对疫情。除此之外,我们还提出了一种新的方法,该方法实现了EDA技术来图形化地表示BC患者的数据。该实验是在Jupyter 6.4.3平台上使用Python编程语言完成的。我们发现不列颠哥伦比亚省患者在2019年突然从10万增加到数百万。这意味着致命的冠状病毒在疫情期间对人们产生了巨大影响,当时人们对这种病毒更为重视,而不是对自己的乳房进行筛查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Indian Journal of Computer Science and Engineering
Indian Journal of Computer Science and Engineering Engineering-Engineering (miscellaneous)
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0.00%
发文量
146
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