Author

Koshiro Kido

Nara Institute of Science and Technology

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Biology Disciplines

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Bioinformatics· 1

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Research Focus:differential expression· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1

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Md. Altaf-Ul-AminiD· 1 shared Ming HuangiD· 1 shared Naoaki OnoiD· 1 shared Shigehiko KanayaiD· 1 shared Zheng CheniD· 1 shared

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2019-2019 · peak 1/yr

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Recent·Most cited

BioinformaticsbioRxivPreprintDec 25, 2019

The Feasibility of Predicting Impending Malignant Ventricular Arrhythmias on the basis of Signal Complexity of Heartbeat Intervals

Zheng Chen, Koshiro Kido, Naoaki Ono…·Ming Huang

This paper proposes a method using heartbeat interval complexity metrics and machine learning to predict impending malignant ventricular arrhythmias with high accuracy.

DOI 10.1101/2019.12.25.888321

electronic health recordsmachine learning (classical)

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