Unsupervised Machine Learning with Cluster Analysis in Patients Discharged after an Acute Coronary Syndrome: Insights from a 23,270-Patient Study

Mohammadi, Tanya; D’Ascenzo, Fabrizio; Pepe, Martino; Zanghì, Stefano Bonsignore; Bernardi, Marco; Spadafora, Luigi; Frati, Giacomo; Peruzzi, Mariangela; Ferrari, Gaetano Maria De; Biondi‐Zoccai, Giuseppe

doi:10.1016/j.amjcard.2023.01.048

Cited by 8 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Artificial intelligence (AI) has shown promising results in analyzing vast datasets from multiple cohorts to identify patterns and highlighting specific patient subsets to improve risk stratification and management [111]. Implementing AI in syncope management may provide benefits in achieving a successful differential diagnosis between both syncopal and non-syncopal TLOCs and between different syncopal etiologies (event definition), risk stratification, and patient management, including the need for immediate intervention and hospitalization, downstream testing, and long-term monitoring strategies [112].…”

Section: Future Directions In the Management Of Syncope: A Little Hel...mentioning

confidence: 99%

Recent Advances and Future Directions in Syncope Management: A Comprehensive Narrative Review

Martone,

Parrini,

Ciciarello

et al. 2024

JCM

View full text Add to dashboard Cite

Syncope is a highly prevalent clinical condition characterized by a rapid, complete, and brief loss of consciousness, followed by full recovery caused by cerebral hypoperfusion. This symptom carries significance, as its potential underlying causes may involve the heart, blood pressure, or brain, leading to a spectrum of consequences, from sudden death to compromised quality of life. Various factors contribute to syncope, and adhering to a precise diagnostic pathway can enhance diagnostic accuracy and treatment effectiveness. A standardized initial assessment, risk stratification, and appropriate test identification facilitate determining the underlying cause in the majority of cases. New technologies, including artificial intelligence and smart devices, may have the potential to reshape syncope management into a proactive, personalized, and data-centric model, ultimately enhancing patient outcomes and quality of life. This review addresses key aspects of syncope management, including pathogenesis, current diagnostic testing options, treatments, and considerations in the geriatric population.

show abstract

Section: Future Directions In the Management Of Syncope: A Little Hel...mentioning

confidence: 99%

Recent Advances and Future Directions in Syncope Management: A Comprehensive Narrative Review

Martone,

Parrini,

Ciciarello

et al. 2024

JCM

View full text Add to dashboard Cite

show abstract

“…Furthermore, they highlight the need to consider all clinical features whenever gauging patient outlook, to maximize antithrombotic therapy, while minimizing hemorrhagic risk. 5…”

Section: Key Pointsmentioning

confidence: 99%

“…They indeed confirm the importance of atherosclerotic burden (as indeed PAD can be considered at least in part such) in impacting on long‐term clinical outcomes, 4 and the even greater role of bleeding diathesis and frailty features in determining patient prognosis. Furthermore, they highlight the need to consider all clinical features whenever gauging patient outlook, to maximize antithrombotic therapy, while minimizing hemorrhagic risk 5 …”

mentioning

confidence: 99%

ABC as in Arteriopathy, Bleeding, and Coronary disease: Disentangling the prognostic conundrum of patients undergoing percutaneous coronary intervention with concomitant peripheral artery disease

Corcione,

Biondi‐Zoccai

2024

Cathet Cardio Intervent

Self Cite

View full text Add to dashboard Cite

Key points The prognosis of patients undergoing percutaneous coronary intervention can be informed by attentive appraisal of bleeding risk and peripheral artery disease. While the predictive interplay between bleeding risk and peripheral artery disease is quite complex, the former prognostic factor seems more potent and capable of better guiding decision‐making. Future research is warranted to gauge the benefits of individualized antithrombotic and antiatherosclerotic regimens to improve long‐term prognosis in patients undergoing percutaneous coronary intervention.

show abstract

“…Uma vez que, a aprendizagem não supervisionada baseada em dados pode identificar padrões intrínsecos nesses conjuntos de dados (Eckardt et al, 2023). Muitos desses estudos utilizam a análise de cluster como uma ferramenta para exploração de padrões com doenças cardiovasculares e isso pode contribuir para melhorar a estratificação de risco e manejo desses pacientes (Guedon et al, 2023;Kim et al, 2023;Lee et al, 2023;Mohammadi et al, 2023).…”

unclassified

Atividade de poda de vegetação realizada por eletricista de linha viva: análise do trabalho e de cluster aplicada à biomecânica

Silva,

Gemma,

Lima

et al. 2023

Revista Ação Ergonômica

View full text Add to dashboard Cite

Este estudo consistiu em compreender a atividade de poda convencional (poda_Conv) e poda com o protótipo de suporte (poda_ProtSup) com motopoda hidráulica de vegetação de Eletricistas de Linha Viva (ELV) de forma integrada entre análise do trabalho, análise de cluster e biomecânica. A análise foi conduzida em ambiente de laboratório. A análise de cluster do presente estudo foi realizada utilizando o método k-means. Durante a poda com o protótipo de suporte (poda_ProtSup), os valores de ângulo relativos aos movimentos da articulação do pescoço (plano sagital) apresentaram-se menores, que sugere uma postura mais adequada durante a atividade de poda. A análise de cluster apontou a formação de dois grupos (Índice de Silhouette de 0.7874), um associado à poda convencional (poda_Conv) e outro à poda com o protótipo de suporte (poda_ProtSup). A análise de cluster proporcionou uma compreensão refinada dos padrões de movimentos da articulação do pescoço e mostrou-se uma ferramenta eficaz para identificar padrões intrínsecos a partir dos dados biomecânicos e ergonômicos da atividade de poda de vegetação. Fundamentalmente, o protótipo de suporte atua na redução da carga do implemento (motopoda), por outro lado diminui a amplitude angular da articulação do pescoço, evidenciando sua relevância para a saúde e segurança dos eletricistas que realizam essa atividade.

show abstract

Unsupervised Machine Learning with Cluster Analysis in Patients Discharged after an Acute Coronary Syndrome: Insights from a 23,270-Patient Study

Cited by 8 publications

References 18 publications

Recent Advances and Future Directions in Syncope Management: A Comprehensive Narrative Review

Recent Advances and Future Directions in Syncope Management: A Comprehensive Narrative Review

ABC as in Arteriopathy, Bleeding, and Coronary disease: Disentangling the prognostic conundrum of patients undergoing percutaneous coronary intervention with concomitant peripheral artery disease

Atividade de poda de vegetação realizada por eletricista de linha viva: análise do trabalho e de cluster aplicada à biomecânica

Contact Info

Product

Resources

About