Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI

Autor: Tripathi, Prasun C., Suvon, Mohammod N. I., Schobs, Lawrence, Zhou, Shuo, Alabed, Samer, Swift, Andrew J., Lu, Haiping

Heart failure is a serious and life-threatening condition that can lead to elevated pressure in the left ventricle. Pulmonary Arterial Wedge Pressure (PAWP) is an important surrogate marker indicating high pressure in the left ventricle. PAWP is dete

Externí odkaz: http://arxiv.org/abs/2303.07540

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python

Autor: Lu, Haiping, Liu, Xianyuan, Turner, Robert, Bai, Peizhen, Koot, Raivo E, Zhou, Shuo, Chasmai, Mustafa, Schobs, Lawrence

Machine learning is a general-purpose technology holding promises for many interdisciplinary research problems. However, significant barriers exist in crossing disciplinary boundaries when most machine learning tools are developed in different areas

Externí odkaz: http://arxiv.org/abs/2106.09756

Machine learning cardiac-MRI features predict mortality in newly diagnosed pulmonary arterial hypertension.

Autor: Alabed S; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.; Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, UK.; INSIGNEO, Institute for in silico medicine, University of Sheffield, UK., Uthoff J; Department of Computer Science, University of Sheffield, Sheffield, UK., Zhou S; Department of Computer Science, University of Sheffield, Sheffield, UK., Garg P; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK., Dwivedi K; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.; Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, UK., Alandejani F; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK., Gosling R; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK., Schobs L; Department of Computer Science, University of Sheffield, Sheffield, UK., Brook M; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK., Shahin Y; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK., Capener D; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK., Johns CS; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.; Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, UK., Wild JM; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.; INSIGNEO, Institute for in silico medicine, University of Sheffield, UK., Rothman AMK; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK., van der Geest RJ; Leiden University Medical Center, Leiden, The Netherlands., Condliffe R; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.; Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, UK., Kiely DG; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.; INSIGNEO, Institute for in silico medicine, University of Sheffield, UK.; Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, UK., Lu H; INSIGNEO, Institute for in silico medicine, University of Sheffield, UK.; Department of Computer Science, University of Sheffield, Sheffield, UK., Swift AJ; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.; Department of Clinical Radiology, Sheffield Teaching Hospitals, Sheffield, UK.; INSIGNEO, Institute for in silico medicine, University of Sheffield, UK.

Publikováno v: European heart journal. Digital health [Eur Heart J Digit Health] 2022 May 02; Vol. 3 (2), pp. 265-275. Date of Electronic Publication: 2022 May 02 (Print Publication: 2022).