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Non-ST Elevated Myocardial Infarction

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Indoleamine 2,3-Dioxygenase (IDO) Enzyme Links Innate Immunity and Altered T-Cell Differentiation in Non-ST Segment Elevation Acute Coronary Syndrome.

International journal of molecular sciences 29278387
Atherosclerosis is a chronic inflammatory disease characterized by a complex interplay between innate and adaptive immunity. Dendritic cells (DCs) play a key role in T-cell activation and regulation by promoting a tolerogenic environment through the ...
Acute Coronary Syndrome Adult Aged Aged, 80 and over Cell Differentiation Cells, Cultured Dendritic Cells Female Humans Immunity, Innate Indoleamine-Pyrrole 2,3,-Dioxygenase Lymphocyte Activation Male Middle Aged Monocytes Non-ST Elevated Myocardial Infarction T-Lymphocyte Subsets
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Artificial neural network-based prediction of prolonged length of stay and need for post-acute care in acute coronary syndrome patients undergoing percutaneous coronary intervention.

European journal of clinical investigation 33043432
BACKGROUND: Prolonged length of stay (LOS) and post-acute care after percutaneous coronary intervention (PCI) is common and costly. Risk models for predicting prolonged LOS and post-acute care have limited accuracy. Our goal was to develop and valida...
Acute Coronary Syndrome Aged Angina, Unstable Female Hospices Hospitals, Rehabilitation Humans Length of Stay Male Middle Aged Neural Networks, Computer Non-ST Elevated Myocardial Infarction Nursing Homes Patient Discharge Percutaneous Coronary Intervention Risk Assessment Skilled Nursing Facilities ST Elevation Myocardial Infarction Subacute Care Transitional Care
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A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients with acute coronary syndrome.

PloS one 34115750
OBJECTIVE: Some researchers have studied about early prediction and diagnosis of major adverse cardiovascular events (MACE), but their accuracies were not high. Therefore, this paper proposes a soft voting ensemble classifier (SVE) using machine lear...
Acute Coronary Syndrome Aged Algorithms Area Under Curve Female Follow-Up Studies Humans Machine Learning Male Middle Aged Non-ST Elevated Myocardial Infarction Republic of Korea ROC Curve ST Elevation Myocardial Infarction
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Machine learning enhances the performance of short and long-term mortality prediction model in non-ST-segment elevation myocardial infarction.

Scientific reports 34145358
Machine learning (ML) has been suggested to improve the performance of prediction models. Nevertheless, research on predicting the risk in patients with acute myocardial infarction (AMI) has been limited and showed inconsistency in the performance of...
Aged Area Under Curve Hospital Mortality Humans Machine Learning Middle Aged Models, Theoretical Non-ST Elevated Myocardial Infarction Reproducibility of Results Risk Assessment Risk Factors ROC Curve Time Factors
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