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Machine learning models for predicting childhood anemia in Mozambique: analysis from national survey data. [PDF]
Gotine AREM, Victor A, Xavier SP.
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Predictive model of sarcopenia in chronic kidney disease: an integrated approach of bioinformatics, machine learning, and clinical validation. [PDF]
Zhang L, Wang T, Fan D, Ou S, Xu Y.
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Logistics Performance Index (LPI): Implications for Logistics Connectivity of ASEM Partners
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Estimating the accurate evaluation of product lifetime performance has always been a hot topic in manufacturing industry. This paper, based on the lifetime performance index, focuses on its evaluation when a lower specification limit is given.
Wenhao Gui, Gui Wenhao
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Logistics Performance Index: Methodological Issues
Foreign Trade Review, 2020This article addresses limitations of Logistics Performance Index (LPI) and suggests remedies. Reliability of the instrument used in LPI may be better found by Angular Association method or Bhattacharyya’s measure, using only the frequencies or probabilities of item–response categories without involving assumptions of continuous nature or linearity or ...
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