Postoperative delirium prediction using machine learning models and preoperative electronic health record data

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Postoperative delirium prediction using machine learning models and preoperative electronic health record data

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Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to target preventative resources toward high-risk patients. Machine learning (ML) offers a novel approach to leveraging electronic health record (EHR) data for POD prediction. |

Đang chuẩn bị liên kết để tải về tài liệu:
Postoperative delirium prediction using machine learning models and preoperative electronic health record data

Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to target preventative resources toward high-risk patients. Machine learning (ML) offers a novel approach to leveraging electronic health record (EHR) data for POD prediction. |

Does using a femoral nerve block for total knee replacement decrease postoperative delirium?

Postoperative delirium assessed by post anesthesia care unit staff utilizing the Nursing Delirium Screening Scale: A prospective observational study of 1000 patients in a single Swiss institution

Postoperative delirium prediction using machine learning models and preoperative electronic health record data

Preoperative prognostic nutritional index is useful factor for predicting postoperative delirium after primary total joint arthroplasty

Predictors of postoperative delirium in elderly patients following total hip and knee arthroplasty: A systematic review and meta analysis

Dexmedetomidine reduces the incidence of postoperative delirium after cardiac surgery: A meta-analysis of randomized controlled trials

Cerebrospinal fluid cholinergic biomarkers are associated with postoperative delirium in elderly patients undergoing Total hip/ knee replacement: A prospective cohort study

Intraoperative burst suppression is associated with postoperative delirium following cardiac surgery: A prospective, observational study

Correlation between microRNA-320 and postoperative delirium in patients undergoing tibial fracture internal fixation surgery

Effect of magnesium supplementation on emergence delirium and postoperative pain in children undergoing strabismus surgery: A prospective randomised controlled study

Đang chuẩn bị liên kết để tải về tài liệu: Postoperative delirium prediction using machine learning models and preoperative electronic health record data

Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to target preventative resources toward high-risk patients. Machine learning (ML) offers a novel approach to leveraging electronic health record (EHR) data for POD prediction. |

Does using a femoral nerve block for total knee replacement decrease postoperative delirium?

Postoperative delirium assessed by post anesthesia care unit staff utilizing the Nursing Delirium Screening Scale: A prospective observational study of 1000 patients in a single Swiss institution

Postoperative delirium prediction using machine learning models and preoperative electronic health record data

Preoperative prognostic nutritional index is useful factor for predicting postoperative delirium after primary total joint arthroplasty

Predictors of postoperative delirium in elderly patients following total hip and knee arthroplasty: A systematic review and meta analysis

Dexmedetomidine reduces the incidence of postoperative delirium after cardiac surgery: A meta-analysis of randomized controlled trials

Cerebrospinal fluid cholinergic biomarkers are associated with postoperative delirium in elderly patients undergoing Total hip/ knee replacement: A prospective cohort study

Intraoperative burst suppression is associated with postoperative delirium following cardiac surgery: A prospective, observational study

Correlation between microRNA-320 and postoperative delirium in patients undergoing tibial fracture internal fixation surgery

Effect of magnesium supplementation on emergence delirium and postoperative pain in children undergoing strabismus surgery: A prospective randomised controlled study

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Postoperative delirium prediction using machine learning models and preoperative electronic health record data