Author

Koshiro Kido

Nara Institute of Science and Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

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

Activity by Year

2019-2019 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Md. Altaf-Ul-AminORCID

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1 paper

Recent·Most cited

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

Zheng Chen, Koshiro Kido, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang

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

bioRxiv · Dec 25, 2019 · PreprintBioinformatics