6,108 research outputs found

    Note On Certain Inequalities for Neuman Means

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    In this paper, we give the explicit formulas for the Neuman means NAHN_{AH}, NHAN_{HA}, NACN_{AC} and NCAN_{CA}, and present the best possible upper and lower bounds for theses means in terms of the combinations of harmonic mean HH, arithmetic mean AA and contraharmonic mean CC.Comment: 9 page

    Medical Big Data Analysis in Hospital Information System

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    The rapidly increasing medical data generated from hospital information system (HIS) signifies the era of Big Data in the healthcare domain. These data hold great value to the workflow management, patient care and treatment, scientific research, and education in the healthcare industry. However, the complex, distributed, and highly interdisciplinary nature of medical data has underscored the limitations of traditional data analysis capabilities of data accessing, storage, processing, analyzing, distributing, and sharing. New and efficient technologies are becoming necessary to obtain the wealth of information and knowledge underlying medical Big Data. This chapter discusses medical Big Data analysis in HIS, including an introduction to the fundamental concepts, related platforms and technologies of medical Big Data processing, and advanced Big Data processing technologies

    Quantum K-nearest neighbor classification algorithm based on Hamming distance

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    K-nearest neighbor classification algorithm is one of the most basic algorithms in machine learning, which determines the sample's category by the similarity between samples. In this paper, we propose a quantum K-nearest neighbor classification algorithm with Hamming distance. In this algorithm, quantum computation is firstly utilized to obtain Hamming distance in parallel. Then, a core sub-algorithm for searching the minimum of unordered integer sequence is presented to find out the minimum distance. Based on these two sub-algorithms, the whole quantum frame of K-nearest neighbor classification algorithm is presented. At last, it is shown that the proposed algorithm can achieve a quadratical speedup by analyzing its time complexity briefly.Comment: 8 pages,5 figure
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