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Akademický článek

Incidence of clinical outcomes in heart failure patients with and without advanced chronic kidney disease

Autor: Deewa Zahir Anjum, Anders N. Bonde, Emil Fosbol, Caroline Hartwell Garred, Gunnar Gislason, Mariam Elmegaard, Pauline Knigge, Christian Torp‐Pedersen, Charlotte Andersson, Marc A. Pfeffer, Pardeep S. Jhund, John J.V. McMurray, Mark C. Petrie, Lars Kober, Morten Schou

Publikováno v: ESC Heart Failure, Vol 11, Iss 5, Pp 3406-3415 (2024)

Abstract Aims Chronic kidney disease (CKD) is a well‐established risk factor for heart failure (HF); however, patients with an estimated glomerular filtration rate (eGFR) eGFR ≥ 30 and eGFR eGFR ≥ 30 and 72.2% for patients with eGFR eGFR ≥ 30

Externí odkaz: https://doaj.org/article/6b8fbb6729914fe9889e775549a568c0

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Serial high-sensitivity troponin T concentrations and long-term outcomes in patients with suspected acute coronary syndrome

Autor: M Pareek, K H Kragholm, M Vaduganathan, J L Pallisgaard, C Byrne, A M D Kristensen, T Biering-Sorensen, C J Lee, A N Bonde, M Maeng, E L Fosbol, L Kober, G H Gislason, D L Bhatt, C Torp-Pedersen

Publikováno v: European Heart Journal. 43

Background High-sensitivity troponin assays allow for accurate and rapid rule-in or rule-out of myocardial infarction (MI) among patients with acute-onset chest pain. However, prognostic implications of serial high-sensitivity troponin concentrations

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a193a7196df521d7bbea15aab894e499
https://doi.org/10.1093/eurheartj/ehac544.1348

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Machine Learning in Cardiac Surgery: Predicting Mortality and Readmission

Autor: Jiheum Park, Pramod N. Bonde

Publikováno v: ASAIO journal (American Society for Artificial Internal Organs : 1992). 68(12)

Predicting outcomes in open-heart surgery can be challenging. Unexpected readmissions, long hospital stays, and mortality have economic implications. In this study, we investigated machine learning (ML) performance in data visualization and predictin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ae5be1c63ff6392425e55c7208a9f9e
https://pubmed.ncbi.nlm.nih.gov/35544455

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Temporal changes in risk of cardiovascular events in people with newly diagnosed type 2 diabetes with and without cardiovascular disease

Autor: Caroline H. Nørgaard, Liis Starkopf, Thomas A. Gerds, Morten Malmborg, Anders N. Bonde, Bochra Zareini, Elisabeth Helen Anna Mills, Peter Vestergaard, Nathan D. Wong, Christian Torp-Pedersen, Christina J.-Y. Lee

Publikováno v: Nørgaard, C H, Starkopf, L, Gerds, T A, Malmborg, M, Bonde, A N, Zareini, B, Mills, E H A, Vestergaard, P, Wong, N D, Torp-Pedersen, C & Lee, C J-Y 2022, ' Temporal changes in risk of cardiovascular events in people with newly diagnosed type 2 diabetes with and without cardiovascular disease ', Journal of Diabetes and its Complications, vol. 36, no. 2, 108126 . https://doi.org/10.1016/j.jdiacomp.2022.108126

AIMS: Examine temporal changes in the risk of cardiovascular events in people with newly diagnosed type 2 diabetes with and without cardiovascular disease (CVD).METHODS: 283,600 individuals with newly diagnosed type 2 diabetes and age-, sex-, and CVD

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::532ff7842640c2124163faca417f3cb0
https://vbn.aau.dk/da/publications/4cc117cd-bde8-43ed-a24e-309b3b44f662

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Echocardiography fails to detect an extensive aortic root abscess in a patient with infective endocarditis: a case report

Autor: Cheryl K Zogg, Arman Avesta, Pramod N Bonde, Arya Mani

Publikováno v: European Heart Journal - Case Reports. 6

Background Echocardiography plays a central role in the diagnosis of infective endocarditis (IE). In recent years, additional imaging techniques have begun to challenge the conventional approach. We present a case where the use of transthoracic/trans

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::54e773ade062baeb5bc7f95de8227bf2
https://doi.org/10.1093/ehjcr/ytac032

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Novel Technique For Detection Of Power Quality Disturbance

Autor: G. N. Bonde, S. R. Paraskar, Arati S. Ambhore

Publikováno v: 2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE).

This paper presents the detection of power quality (PQ) events using mathematical morphology and classification of the events using statistical parameter such as standard deviation. The mathematical morphology is used to detect the events. By using m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::05040fc1d0f32d3016baf256f3f670e4
https://doi.org/10.1109/rdcape47089.2019.8979015

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Educational Data Mining Survey for Predicting Student’s Academic Performance

Autor: Sharayu N. Bonde, D. K. Kirange

Publikováno v: Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783030246426

In Era of 21st Century, Competition in Education Field is becoming major topic to be discussed and should be focused by the teacher as student’s career decision is depending on their major discipline they are studying. It is the responsibility to j

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b3584b4af10306b9cd3dacdb5720b1d
https://doi.org/10.1007/978-3-030-24643-3_35

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Teager Energy Operator: A Signal Processing Approach for Detection and Classification of Power Quality Events

Autor: S. S. Jadhao, G. N. Bonde, V. S. Mahalle, S. R. Paraskar

Publikováno v: 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI).

In electrical power system power quality (PQ) disturbances are frequent; to detect these disturbances and classify them is must, so that mitigation action is carried out accordingly. This paper presents a signal processing based approach for detectio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ad2db2a9bfa0a78fd125ed14d33958bb
https://doi.org/10.1109/icoei.2018.8553703

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Survey on Evaluation of Student's Performance in Educational Data Mining

Autor: D. K. Kirange, Sharayu N. Bonde

Publikováno v: 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT).

Educational information mining is rising field that spotlights on breaking down educational information to create models for enhancing learning encounters and enhancing institutional viability. Expanding enthusiasm for information mining and educatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::39e7249346adbfe4c788ae0575d96cac
https://doi.org/10.1109/icicct.2018.8473228

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