5 citations · 10 across the 4 of their papers we have counts for
4 papers
Cardiomyopathy Diagnosis Model from Endomyocardial Biopsy Specimens: Appropriate Feature Space and Class Boundary in Small Sample Size Data
Masaya Mori, Yuto Omae, Yutaka Koyama +4
As the number of patients with heart failure increases, machine learning (ML) has garnered attention in cardiomyopathy diagnosis, driven by the shortage of pathologists. However, e…
Theoretical Analysis of SIRVVD Model to Provide Insight on the Target Rate of COVID-19/SARS-CoV-2 Vaccination in Japan
Yuto Omae, Makoto Sasaki, Jun Toyotani +2
The effectiveness of the first and second dose vaccinations are different for COVID-19; therefore, a susceptible-infected-recovered-vaccination1-vaccination2-death (SIRVVD) model t…
A Calculation Model for Estimating Effect of COVID-19 Contact-Confirming Application (COCOA) on Decreasing Infectors
Yuto Omae, Jun Toyotani, Kazuyuki Hara +2
As of 2020, COVID-19 is spreading in the world. In Japan, the Ministry of Health, Labor and Welfare developed COVID-19 Contact-Confirming Application (COCOA). The researches to exa…
Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) based on a Multi Agent Simulation
Yuto Omae, Jun Toyotani, Kazuyuki Hara +2
As of Aug. 2020, coronavirus disease 2019 (COVID-19) is still spreading in the world. In Japan, the Ministry of Health, Labor, and Welfare developed "COVID-19 Contact-Confirming Ap…