AIMC Topic: Morbidity

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Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort.

BMC geriatrics Aug 4, 2025
BACKGROUND: Sepsis after hip fracture in elderly people is a risk factor for mortality. The purpose of this study was to screen for risk factors for 60-day sepsis morbidity after hip fracture and to establish a predictive model using various machine ...
Female Risk Factors Aged Aged, 80 and over Humans Machine Learning Algorithms Cohort Studies Time Factors Morbidity Male Hip Fractures Risk Assessment Sepsis
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Development and Validation of a Predictive Model for Maternal Cardiovascular Morbidity Events in Patients With Hypertensive Disorders of Pregnancy.

Anesthesia and analgesia Nov 6, 2024
BACKGROUND: Hypertensive disorders of pregnancy (HDP) are a major contributor to maternal morbidity, mortality, and accelerated cardiovascular (CV) disease. Comorbid conditions are likely important predictors of CV risk in pregnant people. Currently,...
Humans Cardiovascular Diseases Risk Assessment Morbidity Machine Learning Heart Failure Predictive Value of Tests Female Databases, Factual Patient Readmission Reproducibility of Results Pregnancy Hypertension, Pregnancy-Induced Risk Factors Adult
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Early prediction of mortality and morbidities in VLBW preterm neonates using machine learning.

Pediatric research Oct 8, 2024
BACKGROUND: Predicting mortality and specific morbidities before they occur may allow for interventions that may improve health trajectories.
Infant, Newborn Male Bronchopulmonary Dysplasia ROC Curve Algorithms Retrospective Studies Female Infant, Premature, Diseases Enterocolitis, Necrotizing Infant, Very Low Birth Weight Morbidity Infant Mortality Infant, Premature Humans Machine Learning
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Application of a deep-learning marker for morbidity and mortality prediction derived from retinal photographs: a cohort development and validation study.

The lancet. Healthy longevity Sep 30, 2024
BACKGROUND: Biological ageing markers are useful to risk stratify morbidity and mortality more precisely than chronological age. In this study, we aimed to develop a novel deep-learning-based biological ageing marker (referred to as RetiPhenoAge here...
Retina Morbidity United Kingdom Mortality Photography Cardiovascular Diseases Humans Middle Aged Biomarkers Deep Learning Female Cohort Studies Aged Male Aging
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Exploring the determinants of under-five mortality and morbidity from infectious diseases in Cambodia-a traditional and machine learning approach.

Scientific reports Aug 27, 2024
Cambodia has made progress in reducing the under-five mortality rate and burden of infectious diseases among children over the last decades. However the determinants of child mortality and morbidity in Cambodia is not well understood, and no recent a...
Humans Machine Learning Communicable Diseases Female Morbidity Child Mortality Infant Mortality Cambodia Male Infant, Newborn Infant Risk Factors Child, Preschool Adult Socioeconomic Factors
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The Effects of Daytime Variation on Short-term Outcomes of Patients Undergoing Off-Pump Coronary Artery Bypass Grafting.

Journal of cardiothoracic and vascular anesthesia Dec 30, 2023
OBJECTIVE: To evaluate the effects of time of surgery on the short-term outcomes of patients undergoing off-pump coronary artery bypass grafting (OPCABG).
Morbidity Length of Stay Humans Treatment Outcome Retrospective Studies Postoperative Hemorrhage Intensive Care Units Coronary Artery Bypass, Off-Pump
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Detailed reporting of clinical and pathological parameters, and comprehensive depiction of complication-intervention events and grading is required to ensure comparability of survival and morbidity outcomes.

World journal of urology Sep 16, 2023
Morbidity Cystectomy Urinary Bladder Humans Postoperative Complications Robotics
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ASO Author Reflections: Immediate Postoperative High Syndecan-1 is an Early Biomarker for Morbidity After Robot-Assisted Esophagectomy.

Annals of surgical oncology Jun 3, 2023
Syndecan-1 Esophagectomy Esophageal Neoplasms Morbidity Humans Biomarkers Robotics
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Adverse Events and Morbidity in a Multidisciplinary Pediatric Robotic Surgery Program. A prospective, Observational Study.

Annals of surgery Jan 23, 2023
OBJECTIVE: To report one-year morbidity of robotic-assisted laparoscopic surgery (RALS) in a dedicated, multidisciplinary, pediatric robotic surgery program. Summary Background Data. RALS in pediatric surgery is expanding, but data on morbidity in ch...
Retrospective Studies Postoperative Complications Child Treatment Outcome Morbidity Robotics Humans Laparoscopy Prospective Studies Robotic Surgical Procedures
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Practice-Based Learning and Improvement: Improving Morbidity and Mortality Review Using Natural Language Processing.

The Journal of surgical research Nov 22, 2022
INTRODUCTION: Practice-Based Learning and Improvement, a core competency identified by the Accreditation Council for Graduate Medical Education, carries importance throughout a physician's career. Practice-Based Learning and Improvement is cultivated...
Morbidity Humans Machine Learning Algorithms Prospective Studies Electronic Health Records Natural Language Processing
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