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An early detection of a disease can save many lives but it is impractical to undergo all medical tests for many prevalent diseases. Further these tests are costly, painful, time consuming and may have side effects. We have tried to predict esophageal cancer using demographics, lifestyle, medical history information, and basic clinical tests initially and later removed all clinical tests one after...
Online Social Networks (OSNs) have emerged as a global media for forming and shaping opinions on a broad spectrum of topics like politics, e-commerce, sports, etc. So, research on understanding and predicting opinion dynamics in OSNs, especially using a tractable linear model, has abound in literature. However, these linear models are too simple to uncover the actual complex dynamics of opinion flow...
Predicting plausible links that may emerge between pairs of nodes is an important task in social network analysis, with over a decade of active research. Here, we propose a novel framework for link prediction. It integrates signals from node features, the existing local link neighborhood of a node pair, community-level link density, and global graph properties. Our framework uses a stacked two-level...
Near infra red photoacoustic measurements can be used to estimate blood glucose concentration in a non-invasive manner. A multi-wavelength photoacoustic measurement apparatus operating at 905 nm and 1550 nm is used to obtain measurements from glucose solutions with concentration in the physiological blood glucose range (0–500 mg/dl). Amplitude and area based features computed from photoacoustic measurements...
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