京都大学 · 医学部・医学研究科

研究关键词neuroimaging inference・hierarchical mixture models・cross-disorder GWAS・predictive risk scores・ovarian cancer prognosis・ECMO hemorrhage・Crohn disease activity・penalized regression・pediatric cardiac arrest

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• Application of the Multi-Dimensional Hierarchical Mixture Model to Cross-Disorder Genome-Wide Association Studies2019 · 16TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY-NEW GENERATIONS (ITNG 2019),
• A Model-Based Framework for Voxel and Region Level Inferences in Neuroimaging Disease-Association Studies2019 · 16TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY-NEW GENERATIONS (ITNG 2019),
• Subphenotype-Specific Risk of Intracranial Hemorrhage During Extracorporeal Membrane Oxygenation in Acute Respiratory Distress Syndrome.1992 · ASAIO journal (American Society for Artificial Internal Organs : 1992),
• Identifying Subgroups with Differential Responses to Amiodarone among Cardiac Arrest Patients with a Shockable Rhythm at Hospital Arrival using the Machine Learning Approach.Reviews in cardiovascular medicine,

• 脳画像を用いた疾患関連解析:脳機能学的知見を取り入れた深層潜在構造モデリング

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