Search Results - "Zhang, Zhongheng"
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Introduction to machine learning: k-nearest neighbors
Published in Annals of translational medicine (01-06-2016)“…Machine learning techniques have been widely used in many scientific fields, but its use in medical literature is limited partly because of technical…”
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Survival analysis in the presence of competing risks
Published in Annals of translational medicine (01-02-2017)“…Survival analysis in the presence of competing risks imposes additional challenges for clinical investigators in that hazard function (the rate) has no…”
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3
Propensity score method: a non-parametric technique to reduce model dependence
Published in Annals of translational medicine (01-01-2017)“…Propensity score analysis (PSA) is a powerful technique that it balances pretreatment covariates, making the causal effect inference from observational data as…”
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Machine learning for the prediction of volume responsiveness in patients with oliguric acute kidney injury in critical care
Published in Critical care (London, England) (08-04-2019)“…Excess fluid balance in acute kidney injury (AKI) may be harmful, and conversely, some patients may respond to fluid challenges. This study aimed to develop a…”
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Prediction model for patients with acute respiratory distress syndrome: use of a genetic algorithm to develop a neural network model
Published in PeerJ (San Francisco, CA) (16-09-2019)“…Acute respiratory distress syndrome (ARDS) is associated with significantly increased risk of death, and early risk stratification may help to choose the…”
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Antipyretic therapy in critically ill patients with established sepsis: a trial sequential analysis
Published in PloS one (24-02-2015)“…antipyretic therapy for patients with sepsis has long been debated. The present study aimed to explore the beneficial effect of antipyretic therapy for ICU…”
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Editorial: Postoperative care: from pain management to delirium
Published in Frontiers in medicine (15-06-2023)Get full text
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8
Dexmedetomidine For The Treatment Of Acute Lung Injury: A Fact Or Fiction?
Published in Journal of investigative surgery (02-07-2020)“…Dexmedetomidine has been widely used in the intensive care unit (ICU), with the primary aim to keep patients on an appropriate level of sedation. Both…”
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Machine learning method for the management of acute kidney injury: more than just treating biomarkers individually
Published in Biomarkers in medicine (01-10-2019)“…[...]the increase in serum creatinine usually indicates that the renal function has been severely impaired, and interventions to protect renal functions are…”
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Prevalence and impact of acute renal impairment on COVID-19: a systematic review and meta-analysis
Published in Critical care (London, England) (18-06-2020)“…The aim of this study is to assess the prevalence of abnormal urine analysis and kidney dysfunction in COVID-19 patients and to determine the association of…”
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Ultrasonographic Measurement of the Respiratory Variation in the Inferior Vena Cava Diameter Is Predictive of Fluid Responsiveness in Critically Ill Patients: Systematic Review and Meta-analysis
Published in Ultrasound in medicine & biology (01-05-2014)“…Abstract Respiratory variation in the inferior vena cava (ΔIVC) has been extensively studied with respect to its value in predicting fluid responsiveness, but…”
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Efficacy and safety of regional citrate anticoagulation in critically ill patients undergoing continuous renal replacement therapy
Published in Intensive care medicine (01-01-2012)“…Purpose Regional citrate anticoagulation (RCA) is an attractive anticoagulation mode in continuous renal replacement therapy (CRRT) because it restricts the…”
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Identification of subclasses of sepsis that showed different clinical outcomes and responses to amount of fluid resuscitation: a latent profile analysis
Published in Critical care (London, England) (18-12-2018)“…Sepsis is a heterogeneous disease and identification of its subclasses may facilitate and optimize clinical management. This study aimed to identify subclasses…”
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14
Identification of three classes of acute respiratory distress syndrome using latent class analysis
Published in PeerJ (San Francisco, CA) (30-03-2018)“…Acute respiratory distress syndrome (ARDS) is a highly heterogeneous syndrome that can exhibit significant differences in the underlying causes, leading to…”
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15
Individualized fluid administration for critically ill patients with sepsis with an interpretable dynamic treatment regimen model
Published in Scientific reports (21-10-2020)“…Fluid strategy is the key to the successful management of patients with sepsis. However, previous studies failed to consider individualized treatment strategy,…”
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Cystatin C in Prediction of Acute Kidney Injury: A Systemic Review and Meta-analysis
Published in American journal of kidney diseases (01-09-2011)“…Background Cystatin C (CysC) has been proposed as a filtration marker for the early detection of acute kidney injury (AKI); however, a wide range of its…”
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Predictive analytics with ensemble modeling in laparoscopic surgery: A technical note
Published in Laparoscopic, endoscopic, and robotic surgery (01-03-2022)“…Predictive analytics have been widely used in the literature with respect to laparoscopic surgery and risk stratification. However, most predictive analytics…”
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A bibliometric analysis using VOSviewer of publications on COVID-19
Published in Annals of translational medicine (01-07-2020)“…As a global pandemic, COVID-19 has aroused great concern in the last few months and a growing number of related researches have been published. Therefore, a…”
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Time-varying covariates and coefficients in Cox regression models
Published in Annals of translational medicine (01-04-2018)“…Time-varying covariance occurs when a covariate changes over time during the follow-up period. Such variable can be analyzed with the Cox regression model to…”
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Normalized lactate load is associated with development of acute kidney injury in patients who underwent cardiopulmonary bypass surgery
Published in PloS one (30-03-2015)“…Cardiac surgery associated acute kidney injury is a major postoperative complication and has long been associated with adverse outcomes. However, the…”
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