A Bootstrap Machine Learning Approach to Identify Rare Disease Patients from Electronic Health Records [PDF]
arXiv, 2016 Rare diseases are very difficult to identify among large number of other possible diagnoses. Better availability of patient data and improvement in machine learning algorithms empower us to tackle this problem computationally. In this paper, we target one such rare disease - cardiac amyloidosis.
arxiv
Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network [PDF]
NeurIPS 2019, Medical Imaging meets NIPS, 2019 In this work, a novel approach is proposed for joint analysis of high dimensional time-resolved cardiac motion features obtained from segmented cardiac MRI and low dimensional clinical risk factors to improve survival prediction in heart failure.
arxiv
Journal of Cardiovascular Development and Disease, 2018 The embryological development of the heart is one of the most fascinating phenomena in nature and so is its final structure and function. The various ontogenetic passages form the evolutive basis of the final configuration of the heart. Each key step can
Marco Cirillo
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Reply to the Comment on: Marco Cirillo The Memory of the Heart. J. Cardiovasc. Dev. Dis. 2018, 5, 55
Journal of Cardiovascular Development and Disease, 2018 I was disappointed by Anderson’s comment on my recent review, a comment that I think derives from a too quick reading of the article. [...]
Marco Cirillo
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THE PROTEIN CONTENT OF THE EXTRACELLULAR FLUID IN NORMAL SUBJECTS AFTER VENOUS CONGESTION AND IN PATIENTS WITH CARDIAC FAILURE, ANOXEMIA, AND FEVER 1 [PDF]
, 1944 Eugene A. Stead, James V. Warren
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Impaired chronotropic response to physical activities in heart failure patients
BMC Cardiovascular Disorders, 2017 Background While exercise-based cardiac rehabilitation has a beneficial effect on heart failure hospitalization and mortality, it is limited by the presence of chronotropic incompetence (CI) in some patients.
Hong Shen +9 more
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Remarks on EARLY SIGNS OF CARDIAC FAILURE OF THE CONGESTIVE TYPE [PDF]
, 1930 Thomas Lewis
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Abaqus/Standard-based quantification of human cardiac mechanical properties [PDF]
arXiv, 2016 Computational modeling can provide critical insight into existing and potential new surgical procedures, medical or minimally-invasive treatments for heart failure, one of the leading causes of deaths in the world that has reached epidemic proportions.
arxiv
Symmetrical Gangrene in Cardiac Failure [PDF]
, 1939 C. B. Perry, T. B. Davie
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