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.
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.
View Article and Find Full Text PDFCustomer 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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