ON THE GENERALIZABILITY OF MACHINE LEARNING CLASSIFICATION ALGORITHMS AND THEIR APPLICATION TO THE FRAMINGHAM HEART STUDY

On the Generalizability of Machine Learning Classification Algorithms and Their Application to the Framingham Heart Study

The use of machine learning algorithms in healthcare can amplify social injustices and health inequities.While the exacerbation of biases can occur and be compounded during problem selection, data collection, and outcome definition, this research pertains to the generalizability impediments that occur during the development and post-deployment of m

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Enhancement of QR Code Capacity by Encrypted Lossless Compression Technology for Verification of Secure E-Document

This paper provides a novel method to improve the data storage of a quick response code (QR code) by applying encrypted lossless compression technology.QR codes are here used in several domains, particularly when there is a need to transfer various types of text information.A key aspect of this work is to thus propose a new methodology to overcome

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A Computational Model of Peripheral Photocoagulation for the Prevention of Progressive Diabetic Capillary Occlusion

We developed a computational model of the propagation of retinal ischemia in diabetic retinopathy and analyzed the consequences of various patterns and sizes of burns in peripheral retinal photocoagulation.The model addresses retinal ischemia as a phenomenon of adverse local feedback in which once a capillary is occluded there is an elevated probab

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A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities

The complexity of improving controllers for Active Magnetic Bearing Systems (AMBs), which are essential parts of fast electronic transport networks such as electric cars, aviation technology, and defense systems is examined in this research work.It evaluates AMBs’ robustness against abrupt harmonic disruptions using wavelet transform methodo

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