Yasushi Okuno

发表

MGeND: an integrated database for Japanese clinical and genomic information

K. Tokunaga, K. Kosaki, M. Kamada, 2019, Human Genome Variation.

The relationship between cigarette smoking and the tongue microbiome in an East Asian population

S. Imoto, R. Kojima, Eiichiro Uchino, 2020, Journal of oral microbiology.

Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.

Kanata Suzuki, Y. Tamada, R. Kojima, 2020, International journal of medical informatics.

Health improvement framework for actionable treatment planning using a surrogate Bayesian model pdf

Kazuki Nakamura, Ryosuke Kojima, Yasushi Okuno, 2020, Nature Communications.

Analysis of the evidence-practice gap to facilitate proper medical care for the elderly: investigation, using databases, of utilization measures for National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB)

Tomohiro Kuroda, Hiroshi Tamura, Motoko Yanagita, 2017, Environmental Health and Preventive Medicine.

Metagenomic analysis of bacterial species in tongue microbiome of current and never smokers

Seiya Imoto, Rui Yamaguchi, Takanori Hasegawa, 2020, npj Biofilms and Microbiomes.

Health improvement framework for actionable treatment planning using a surrogate Bayesian model

Motoko Yanagita, Ryosuke Kojima, Shigeyuki Nakaji, 2020, Nature communications.

AIM in Pharmacology and Drug Discovery

Ryosuke Kojima, Hiroaki Iwata, Yasushi Okuno, 2021, Artificial Intelligence in Medicine.

AIM in Genomic Basis of Medicine: Applications

Yasushi Okuno, Mayumi Kamada, M. Kamada, 2021, Artificial Intelligence in Medicine.

Individual health-disease phase diagrams for disease prevention based on machine learning

Y. Tamada, R. Kojima, Eiichiro Uchino, 2022, ArXiv.

CBNplot: Bayesian network plots for enrichment analysis

Guangchuang Yu, Y. Tamada, Yasushi Okuno, 2022, Bioinformatics.

Individual health-disease phase diagrams for disease prevention based on machine learning

Y. Tamada, R. Kojima, Eiichiro Uchino, 2022, Journal of biomedical informatics.

Differential Privacy under Incalculable Sensitivity

Tomoaki Mimoto, R. Kojima, Yasushi Okuno, 2022, 2022 6th International Conference on Cryptography, Security and Privacy (CSP).

Characterizing eye-gaze positions of people with severe motor dysfunction: Novel scoring metrics using eye-tracking and video analysis

R. Kojima, Yasushi Okuno, Mari Okamoto, 2022, PloS one.

Robust prognostic prediction model developed with integrated biological markers for acute myocardial infarction

Eiichiro Uchino, Yasushi Okuno, S. Matoba, 2022, PloS one.

GCN-Based Structure-Activity Relationship and DFT Studies of Staphylococcus aureus FabI Inhibitors

R. Kojima, Yasushi Okuno, J. C. Gertrudes, 2022, International Journal of Quantitative Structure-Property Relationships.

Network-based pathogenicity prediction for variants of uncertain significance

Teruhiko Yoshida, M. Hirata, M. Kamada, 2021, bioRxiv.

Novel cancer subtyping method based on patient-specific gene regulatory network

Y. Tamada, Yasushi Okuno, Yoshihisa Tanaka, 2021, Scientific Reports.

System-Based Differential Gene Network Analysis for Characterizing a Sample-Specific Subnetwork

Fumiyoshi Yamashita, Yasushi Okuno, Yoshihisa Tanaka, 2020, Biomolecules.

Metagenomic analysis of bacterial species in tongue microbiome of current and never smokers

S. Imoto, R. Yamaguchi, Eiichiro Uchino, 2020, npj Biofilms and Microbiomes.

Prediction of blood pressure variability using deep neural networks

Ryosuke Kojima, Yasushi Okuno, Kazuomi Kario, 2020, Int. J. Medical Informatics.

Metagenomic profiling of gut microbiome in early chronic kidney disease.

S. Imoto, R. Yamaguchi, Eiichiro Uchino, 2020, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

Increased abundance of Ruminococcus gnavus in gut microbiota is associated with moyamoya disease and non-moyamoya intracranial large artery disease

Yasushi Okuno, A. Koizumi, Kouji H. Harada, 2022, Scientific Reports.

CBNplot: Bayesian network plots for enrichment analysis

Guangchuang Yu, Y. Tamada, Yasushi Okuno, 2022, Bioinform..

Artificial Intelligence in Predicting Kidney Function and Acute Kidney Injury

Eiichiro Uchino, Yasushi Okuno, Noriaki Sato, 2021, Artificial Intelligence in Medicine.

Future possibilities for artificial intelligence in the practical management of hypertension

Yasushi Okuno, Hiroshi Koshimizu, Ryosuke Kojima, 2020, Hypertension Research.

Development and validation of ischemic heart disease and stroke prognostic models using large-scale real-world data from Japan

K. Yamagishi, Yasushi Okuno, Masafumi Okada, 2023, Environmental health and preventive medicine.

Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach

Kanata Suzuki, Noriaki Sato, Ryosuke Kojima, 2020, medRxiv.

Complex network prediction using deep learning pdf

Fumiyoshi Yamashita, Ryosuke Kojima, Shoichi Ishida, 2021, ArXiv.

Exploring the mechanism of BK polyomavirus-associated nephropathy through consensus gene network approach

Yasushi Okuno, Noriaki Sato, M. Yanagita, 2023, PloS one.

Evaluation of Kidney Histological Images Using Unsupervised Deep Learning

R. Kojima, Eiichiro Uchino, Yasushi Okuno, 2021, Kidney international reports.

Relationships Between Quantitative Pulse-Echo Ultrasound Parameters from the Superficial Zone of the Human Articular Cartilage and Changes in Surface Roughness, Collagen Content or Collagen Orientation Caused by Early Degeneration.

Eiichiro Uchino, Yasushi Okuno, W. Kiyan, 2017, Ultrasound in medicine & biology.

Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected data

Motoko Yanagita, Ryosuke Kojima, Shusuke Hiragi, 2021, Comput. Methods Programs Biomed..

An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction

M. Kamada, R. Kojima, Yasushi Okuno, 2023, ArXiv.

Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network

M. Kamada, R. Kojima, Yasushi Okuno, 2023, bioRxiv.

Dynamic changes in gene-to-gene regulatory networks in response to SARS-CoV-2 infection

Y. Tamada, F. Yamashita, Yasushi Okuno, 2021, Scientific Reports.

A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data

M. Kamada, R. Kojima, Eiichiro Uchino, 2023, ArXiv.