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Prognostic and Immune-Infiltrate Significance of miR-222-3p and Its Target Genes in Thyroid Cancer
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Single-cell RNA sequencing analysis of shrimp immune cells identifies macrophage-like phagocytes
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Whole Genome Assembly of Human Papillomavirus by Nanopore Long-Read Sequencing
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Predicting All-Cause Mortality Risk in Atrial Fibrillation Patients: A Novel LASSO-Cox Model Generated From a Prospective Dataset
Published 2021-10-01“…Background: Although mortality remains high in patients with atrial fibrillation (AF), there have been limited studies exploring machine learning (ML) models on mortality risk prediction in patients with AF.Objectives: This study sought to develop an ML model that captures important variables in order to predict all-cause mortality in AF patients.Methods: In this single center prospective study, an ML-based mortality prediction model was developed and validated using a dataset of 2,012 patients who experienced AF from November 2018 to February 2020 at the First Affiliated Hospital of Shantou University Medical College. The dataset was randomly divided into a training set (70%, n = 1,223) and a validation set (30%, n = 552). …”
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Erratum to “HsGDY on Ni Foam for Loading MoS2/Ni3S2 to Enhance the Performance on Lithium–Sulfur Batteries”
Published 2023-01-01Get full text
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Neoadjuvant Therapy for Locally Advanced Esophageal Cancers
Published 2022-04-01Get full text
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