European Journal of Echocardiography

European Journal of Echocardiography

Dades bibliogràfiques
Format:	Electrònic Revista
Idioma:	English
Publicat:	European Society of Cardiology
Matèries:	Cardiovascular Medicine
Accés en línia:	Full text available on Oxford Academic Off-campus access

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Application of regenerative medicine in cardiovascular diseases
per: Ahmed, Saraf Nawar
Publicat: (2022)

Characterization of the major risk factors Cardiovascular diseases and analysis of hypertension as a complication among the relatively newly diagnosed patients all over Bangladesh: a reflective study
per: Shuvro, Asif Jahan
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Anti-inflammatory effect of Statins in reducing the exacerbation and mortality rates of COPD patients: a review study
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Comparative analysis of machine learning models for the prediction of asthma disease among the cardiovascular disease patients
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Risk of developing cardiovascular diseases on radiation exposure to thoracic region: a review
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A review on the emerging role of SIRT6 in cardiovascular diseases
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Prevalence and risk factors of cardiovascular diseases among Bangladeshi adults: Findings from a cross-sectional study
per: Khanam, Fouzia, et al.
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Journal of the American Society of Echocardiography

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A review on cardiovascular development and epigenetics
per: Srity, Nafisa Alam
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Echocardiography Industry Profile: France

Echocardiography Industry Profile: Germany

Echocardiography Industry Profile: Italy

Echocardiography Industry Profile: Spain

Echocardiography in Mitral Valve Disease
per: Faletra
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Targeting circular RNA for cardiovascular diseases
per: Sarkar, Deepannita
Publicat: (2023)

Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach
per: Haque, Adiba, et al.
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Effectiveness of data mining in predicting heart diseases
per: Afrin, Shahria, et al.
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Prediction of coronary heart diseases using supervised machine learning algorithms
per: Salam, Nazia Binte, et al.
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Echocardiography Industry Profile: United Kingdom

Echocardiography Industry Profile: United States

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Comparison of machine learning techniques to predict cardiovascular disease
per: Jaber, Mir Mohammad, et al.
Publicat: (2019)

Journal of Laryngology & Otology