Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Application of machine learning in predicting hospital readmissions: a sco** review of the literature
Background Advances in machine learning (ML) provide great opportunities in the
prediction of hospital readmission. This review synthesizes the literature on ML methods and …
prediction of hospital readmission. This review synthesizes the literature on ML methods and …
HealtheDataLab–a cloud computing solution for data science and advanced analytics in healthcare with application to predicting multi-center pediatric readmissions
Background There is a shortage of medical informatics and data science platforms using
cloud computing on electronic medical record (EMR) data, and with computing capacity for …
cloud computing on electronic medical record (EMR) data, and with computing capacity for …
Realizing the potential of social determinants data: a sco** review of approaches for screening, linkage, extraction, analysis and interventions
Background Social determinants of health (SDoH) like socioeconomics and neighborhoods
strongly influence outcomes, yet standardized SDoH data is lacking in electronic health …
strongly influence outcomes, yet standardized SDoH data is lacking in electronic health …
[HTML][HTML] A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions
Background Cardiovascular and other circulatory system diseases have been implicated in
the severity of COVID-19 in adults. This study provides a super learner ensemble of models …
the severity of COVID-19 in adults. This study provides a super learner ensemble of models …
Identifying children at readmission risk: at-admission versus traditional at-discharge readmission prediction model
The timing of 30-day pediatric readmissions is skewed with approximately 40% of the
incidents occurring within the first week of hospital discharges. The skewed readmission …
incidents occurring within the first week of hospital discharges. The skewed readmission …
Development and validation of an early warning tool for sepsis and decompensation in children during emergency department triage
This study was designed to develop and validate an early warning system for sepsis based
on a predictive model of critical decompensation. Data from the electronic medical records …
on a predictive model of critical decompensation. Data from the electronic medical records …
Multicenter study of risk factors of unplanned 30‐day readmissions in pediatric oncology
Background Pediatric oncology patients have high rates of hospital readmission but there is
a dearth of research into risk factors for unplanned 30‐day readmissions among this high …
a dearth of research into risk factors for unplanned 30‐day readmissions among this high …
Prolonged hospital length of stay in pediatric trauma: a model for targeted interventions
Background In this study, trauma-specific risk factors of prolonged length of stay (LOS) in
pediatric trauma were examined. Statistical and machine learning models were used to …
pediatric trauma were examined. Statistical and machine learning models were used to …
Race, ethnicity, and insurance: the association with opioid use in a pediatric hospital setting
Background This study examined the association between race/ethnicity and health
insurance payer type with pediatric opioid and non-opioid ordering in an inpatient hospital …
insurance payer type with pediatric opioid and non-opioid ordering in an inpatient hospital …
Realizing the potential of social determinants data in EHR systems: A sco** review of approaches for screening, linkage, extraction, analysis, and interventions
Background: Social determinants of health (SDoH), such as socioeconomics and
neighborhoods, strongly influence health outcomes. However, the current state of …
neighborhoods, strongly influence health outcomes. However, the current state of …