Muhammad Rukunuddin Ghalib

TL;DR: This framework harnesses the benefits of Block Chain like reduced cost, speed, automation, immutability, near-impossible loss of data, permanence, removal of intermediaries, decentralization of consensus, legitimate access to health data, data safekeeping, accrual-based imbursement mechanisms, and medical supply chain efficacy.

TL;DR: It was found that critical loopholes in a current supply chain can be overcome using the proposed framework, and several outlines for future research are outlined.

TL;DR: A correlation‐based feature selection integrated with neural network for identifying anomalies and the results show that the proposed model is superior in terms of accuracy, sensitivity, and specificity in comparison with some of the state‐of‐the‐art techniques.

TL;DR: This paper aims to detect and classify the benign and the normal image by means of the median filter and comparison of the classification algorithms is done.

TL;DR: In this paper, the authors categorized and reviewed the current progress on cough audio analysis for the classification of pulmonary diseases and explored potential future issues in research, and proposed a model for classification of ten serious pulmonary ailments commonly seen in Indian adolescents.