Publications by authors named "Gajendra Sharma"

Objectives: The objectives of this study were to analyze trends in prostate cancer incidence, incidence, mortality, and disability-adjusted life years (DALYs) from 1990 to 2021 via data from the Global Burden of Disease (GBD) study in South Asia. Additionally, the study projects future prostate cancer incidence rates up to 2031 to inform public health interventions in South Asia.

Methods: Data covering South Asian countries such as Bangladesh, Bhutan, India, Nepal, and Pakistan were obtained from the GBD 2021 portal.

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  • The COVID-19 pandemic has had serious effects on maternal and neonatal health, prompting a systematic review to assess how it influences respiratory distress syndrome (RDS) in newborns from infected mothers.
  • The review analyzed 22 studies and found that 11.5% of newborns from COVID-19-positive mothers experienced RDS, with a risk ratio of 2.69 indicating a significantly higher risk compared to newborns from non-infected mothers.
  • The findings stress the importance of closely monitoring and managing pregnant women with COVID-19 to reduce potential health issues in their newborns.
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  • E-cigarettes are becoming popular as a way for people to quit smoking, but there are concerns about their use alongside traditional cigarettes, particularly among pregnant women, who may face increased health risks.
  • A systematic review analyzed data from 18 studies involving nearly 6 million pregnant women, finding that 4.6% of them reported using both e-cigarettes and traditional tobacco.
  • The findings suggest that dual use is a significant health issue, highlighting the need for further research and public health measures to inform and protect pregnant women from the risks of tobacco.
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  • Prostate cancer is a common cancer among men, and this study investigates whether glucagon-like peptide 1 receptor agonists (GLP-1 RAs), usually used for treating type 2 diabetes, can reduce the risk of developing this cancer.
  • The research included a systematic review of five studies from various countries, which found that GLP-1 RA use is associated with a significant 28% reduction in prostate cancer risk compared to other treatments.
  • The study concludes that GLP-1 RAs could play a role in reducing prostate cancer risk, especially for men with diabetes, but further research is needed to understand how these drugs work in this context and to examine different patient variables.
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Digital data are rising fast as Internet technology advances through many sources, such as smart phones, social networking sites, IoT, and other communication channels. Therefore, successfully storing, searching, and retrieving desired images from such large-scale databases are critical. Low-dimensional feature descriptors play an essential role in speeding up the retrieval process in such a large-scale dataset.

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  • Advanced predictive analytics and an effective attribute selection method enhance the assessment of chronic disorder risks in patients, addressing limitations of traditional methods like premature convergence and high complexity.
  • A novel memory-based metaheuristic attribute selection (MMAS) model is introduced, utilizing local neighborhood search and unsupervised K-means clustering to optimize chronic disease data, specifically for heart disease, breast cancer, diabetes, and hepatitis.
  • The MMAS model achieved a mean accuracy of 94.5% in risk assessment, demonstrating significant improvements in chronic disease diagnosis and offering potential as a decision support system for medical professionals.
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Customer churn prediction is one of the challenging problems and paramount concerns for telecommunication industries. With the increasing number of mobile operators, users can switch from one mobile operator to another if they are unsatisfied with the service. Marketing literature states that it costs 5-10 times more to acquire a new customer than retain an existing one.

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