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Postoperative Complications

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Development and validation of interpretable machine learning models for postoperative pneumonia prediction.

Frontiers in public health 39726646
BACKGROUND: Postoperative pneumonia, a prevalent form of hospital-acquired pneumonia, poses significant risks to patients' prognosis and even their lives. This study aimed to develop and validate a predictive model for postoperative pneumonia in surg...
Adult Aged Algorithms Female Humans Machine Learning Male Middle Aged Pneumonia Postoperative Complications Retrospective Studies
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Assessing the value of deep neural networks for postoperative complication prediction in pancreaticoduodenectomy patients.

PloS one 39774499
INTRODUCTION: Pancreaticoduodenectomy (PD) for patients with pancreatic ductal adenocarcinoma (PDAC) is associated with a high risk of postoperative complications (PoCs) and risk prediction of these is therefore critical for optimal treatment plannin...
Aged Carcinoma, Pancreatic Ductal Deep Learning Female Humans Male Middle Aged Neural Networks, Computer Pancreatic Neoplasms Pancreaticoduodenectomy Postoperative Complications Risk Assessment
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Impact of Inflammation After Cardiac Surgery on 30-Day Mortality and Machine Learning Risk Prediction.

Journal of cardiothoracic and vascular anesthesia 39732570
OBJECTIVES: To investigate the impact of systemic inflammatory response syndrome (SIRS) on 30-day mortality following cardiac surgery and develop a machine learning model to predict SIRS.
Aged Cardiac Surgical Procedures Cohort Studies Female Humans Machine Learning Male Middle Aged Postoperative Complications Predictive Value of Tests Retrospective Studies Risk Assessment Risk Factors Systemic Inflammatory Response Syndrome
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Predicting lack of clinical improvement following varicose vein ablation using machine learning.

Journal of vascular surgery. Venous and lymphatic disorders 39732288
OBJECTIVE: Varicose vein ablation is generally indicated in patients with active/healed venous ulcers. However, patient selection for intervention in individuals without venous ulcers is less clear. Tools that predict lack of clinical improvement (LC...
Ablation Techniques Aged Clinical Decision-Making Databases, Factual Decision Support Techniques Female Humans Machine Learning Male Middle Aged Postoperative Complications Predictive Value of Tests Retrospective Studies Risk Assessment Risk Factors Time Factors Treatment Outcome Varicose Veins
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Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach.

Anaesthesia 39778909
INTRODUCTION: Understanding 1-year mortality following major surgery offers valuable insights into patient outcomes and the quality of peri-operative care. Few models exist that predict 1-year mortality accurately. This study aimed to develop a predi...
Aged Aged, 80 and over Databases, Factual Elective Surgical Procedures Female Humans Machine Learning Male Middle Aged Postoperative Complications Regression Analysis Surgical Procedures, Operative
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Predicting postoperative adhesive small bowel obstruction in infants under 3 months with intestinal malrotation: a random forest approach.

Jornal de pediatria 39765335
OBJECTIVE: This study aimed to develop a predictive model using a random forest algorithm to determine the likelihood of postoperative adhesive small bowel obstruction (ASBO) in infants under 3 months with intestinal malrotation.
Algorithms Female Humans Infant Infant, Newborn Intestinal Obstruction Intestinal Volvulus Intestine, Small Machine Learning Male Postoperative Complications Predictive Value of Tests Random Forest Retrospective Studies Risk Factors ROC Curve Sensitivity and Specificity Tissue Adhesions
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Machine learning models predicting risk of revision or secondary knee injury after anterior cruciate ligament reconstruction demonstrate variable discriminatory and accuracy performance: a systematic review.

BMC musculoskeletal disorders 39755642
BACKGROUND: To summarize the statistical performance of machine learning in predicting revision, secondary knee injury, or reoperations following anterior cruciate ligament reconstruction (ACLR), and to provide a general overview of the statistical p...
Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Reconstruction Humans Machine Learning Postoperative Complications Predictive Value of Tests Reoperation Risk Assessment Risk Factors
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Application of machine learning in predicting postoperative arrhythmia following transcatheter closure of perimembranous ventricular septal defects.

Kardiologia polska 39743914
BACKGROUND: Arrhythmia is a frequent complication following transcatheter device closure of perimembranous ventricular septal defects (pmVSD). However, there is currently a lack of a convenient tool for predicting postoperative arrhythmia.
Arrhythmias, Cardiac Cardiac Catheterization Child Child, Preschool Female Heart Septal Defects, Ventricular Humans Infant Machine Learning Male Postoperative Complications Retrospective Studies
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Development and validation of an interpretable machine learning model to predict major adverse cardiovascular events after noncardiac surgery in geriatric patients: a prospective study.

International journal of surgery (London, England) 39728602
BACKGROUND: Major adverse cardiovascular events (MACEs) within 30 days following noncardiac surgery are prognostically relevant. Accurate prediction of risk and modifiable risk factors for postoperative MACEs is critical for surgical planning and pat...
Aged Aged, 80 and over Cardiovascular Diseases Female Humans Machine Learning Male Postoperative Complications Prospective Studies Risk Assessment Risk Factors Surgical Procedures, Operative
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A novel generative multi-task representation learning approach for predicting postoperative complications in cardiac surgery patients.

Journal of the American Medical Informatics Association : JAMIA 39731515
OBJECTIVE: Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the...
Aged Cardiac Surgical Procedures Electronic Health Records Female Humans Machine Learning Male Middle Aged Postoperative Complications Retrospective Studies Risk Assessment
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