Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning
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DOI: 10.1097/mlr.0000000000001421
Abstract: Supplemental Digital Content is available in the text. read more here.
Keywords: patients based; based clinical; predicting day; mortality thrombocytopenic ... See more keywords
Towards Predicting 30-Day Readmission among Oncology Patients: Identifying Timely and Actionable Risk Factors
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DOI: 10.1101/2022.01.05.21268065
Abstract: Purpose: Predicting 30-day readmission risk is paramount to improving the quality of patient care. Previous studies have examined clinical risk factors associated with hospital readmissions. In this study, we compare sets of patient, provider, and… read more here.
Keywords: oncology; predicting day; readmission; risk ... See more keywords
Development and Validation of a Novel Prognostic Score Based on Thrombotic and Inflammatory Biomarkers for Predicting 28-Day Adverse Outcomes in Patients with Acute Pancreatitis
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DOI: 10.2147/jir.s344446
Abstract: Background Acute pancreatitis (AP) is a multifactorial disease that is associated with substantial morbidity and mortality. Thrombosis and inflammation are involved in the development and progression of AP. Aim To develop and validate a novel… read more here.
Keywords: acute pancreatitis; predicting day; outcomes patients; day adverse ... See more keywords
An early novel prognostic model for predicting 80-day survival of patients with COVID-19
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DOI: 10.3389/fcimb.2022.1010683
Abstract: The outbreak of the novel coronavirus disease 2019 (COVID-19) has had an unprecedented impact worldwide, and it is of great significance to predict the prognosis of patients for guiding clinical management. This study aimed to… read more here.
Keywords: predicting day; day; covid patients; day survival ... See more keywords
A nomogram predicting 30-day mortality in patients undergoing percutaneous coronary intervention
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DOI: 10.3389/fcvm.2022.897020
Abstract: Background and aims Early detection of mortality after percutaneous coronary intervention (PCI) is crucial, whereas most risk prediction models are based on outdated cohorts before the year 2000. This study aimed to establish a nomogram… read more here.
Keywords: predicting day; nomogram predicting; patients undergoing; mortality ... See more keywords
Shock Index: A Simple and Effective Clinical Adjunct in Predicting 60-Day Mortality in Advanced Cancer Patients at the Emergency Department
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DOI: 10.3390/ijerph17134904
Abstract: Deciding between palliative and overly aggressive therapies for advanced cancer patients who present to the emergency department (ED) with acute issues requires a prediction of their short-term survival. Various scoring systems have previously been studied… read more here.
Keywords: day mortality; cancer patients; advanced cancer; predicting day ... See more keywords
Automated Machine Learning in Predicting 30-Day Mortality in Patients with Non-Cholestatic Cirrhosis
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DOI: 10.3390/jpm12111930
Abstract: Objective: To evaluate the feasibility of automated machine learning (AutoML) in predicting 30-day mortality in non-cholestatic cirrhosis. Methods: A total of 932 cirrhotic patients were included from the First Affiliated Hospital of Soochow University between… read more here.
Keywords: predicting day; non cholestatic; machine; cholestatic cirrhosis ... See more keywords