AIMC Topic: Surgical Wound Infection

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Using Preoperative and Intraoperative Factors to Predict the Risk of Surgical Site Infections After Lumbar Spinal Surgery: A Machine Learning-Based Study.

World neurosurgery Mar 19, 2022
OBJECTIVE: To develop a model based on machine learning to predict surgical site infection (SSI) risk in patients after lumbar spinal surgery (LSS).
Retrospective Studies Risk Factors Neurosurgical Procedures Surgical Wound Infection Humans Machine Learning Algorithms
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Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis.

Journal of healthcare engineering Nov 23, 2021
Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, and the value of quality nursing intervention was studied. In this study, 74 surgically treated gynecologic tumor patients were randomly selected from...
Humans Factor Analysis, Statistical Female Surgical Wound Infection Genital Neoplasms, Female Neural Networks, Computer Risk Factors Machine Learning Breast Neoplasms Retrospective Studies Postoperative Complications
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Applying Machine Learning Across Sites: External Validation of a Surgical Site Infection Detection Algorithm.

Journal of the American College of Surgeons Apr 5, 2021
BACKGROUND: Surgical complications have tremendous consequences and costs. Complication detection is important for quality improvement, but traditional manual chart review is burdensome. Automated mechanisms are needed to make this more efficient. To...
Hospitals Surgical Wound Infection Quality Improvement Datasets as Topic Aged Adult Male Middle Aged Humans Medical Audit Machine Learning Electronic Health Records Female Risk Factors
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Accelerating Surgical Site Infection Abstraction With a Semi-automated Machine-learning Approach.

Annals of surgery Oct 14, 2020
OBJECTIVE: To demonstrate that a semi-automated approach to health data abstraction provides significant efficiencies and high accuracy.
Electronic Health Records Surgical Wound Infection Quality Improvement Humans Machine Learning Algorithms
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Artificial intelligence-based tools to control healthcare associated infections: A systematic review of the literature.

Journal of infection and public health Jun 16, 2020
BACKGROUND: Healthcare-associated infections (HAIs) are the most frequent adverse events in healthcare and a global public health concern. Surveillance is the foundation for effective HAIs prevention and control. Manual surveillance is labor intensiv...
Retrospective Studies Risk Factors Infection Control Surgical Wound Infection Humans Artificial Intelligence Computer Simulation Cross Infection
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Using Natural Language Processing to improve EHR Structured Data-based Surgical Site Infection Surveillance.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Surgical Site Infection surveillance in healthcare systems is labor intensive and plagued by underreporting as current methodology relies heavily on manual chart review. The rapid adoption of electronic health records (EHRs) has the potential to allo...
Decision Trees Natural Language Processing Surgical Wound Infection Electronic Health Records Information Storage and Retrieval Humans Sensitivity and Specificity Machine Learning Logistic Models Algorithms Support Vector Machine
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Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Feb 13, 2020
BACKGROUND: Machine learning (ML) is increasingly being used in many areas of health care. Its use in infection management is catching up as identified in a recent review in this journal. We present here a complementary review to this work.
Cross Infection Machine Learning Algorithms Humans Prognosis Electronic Health Records Sepsis Decision Support Systems, Clinical Urinary Tract Infections Surgical Wound Infection
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Using artificial intelligence (AI) to predict postoperative surgical site infection: A retrospective cohort of 4046 posterior spinal fusions.

Clinical neurology and neurosurgery Feb 3, 2020
OBJECTIVES: Machine Learning and Artificial Intelligence (AI) are rapidly growing in capability and increasingly applied to model outcomes and complications within medicine. In spinal surgery, post-operative surgical site infections (SSIs) are a rare...
Spinal Fusion Surgical Wound Infection Clinical Decision Rules Cohort Studies ROC Curve Area Under Curve Artificial Intelligence Machine Learning Retrospective Studies Female Humans Male Neural Networks, Computer Middle Aged Comorbidity Deep Learning
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Single-stage posterior total en bloc spondylectomy in the treatment of lumbar spinal metastases.

Clinical neurology and neurosurgery Dec 20, 2019
OBJECTIVE: To report the clinical and radiographic outcomes of single-stage posterior total en bloc spondylectomy (TES) of lumbar spinal metastases.
Spinal Neoplasms Spinal Nerve Roots Kidney Neoplasms Low Back Pain Metastasectomy Psoas Muscles Lumbar Vertebrae Rectal Neoplasms Surgical Wound Infection Middle Aged Pain Measurement Adult Plastic Surgery Procedures Humans Postoperative Complications Biomechanical Phenomena Lung Neoplasms Prostatic Neoplasms Retrospective Studies Length of Stay Male Blood Loss, Surgical Neurosurgical Procedures Female Liver Neoplasms Operative Time Aged Cerebrospinal Fluid Leak
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Predicting the occurrence of surgical site infections using text mining and machine learning.

PloS one Dec 13, 2019
In this study we propose the use of text mining and machine learning methods to predict and detect Surgical Site Infections (SSIs) using textual descriptions of surgeries and post-operative patients' records, mined from the database of a high complex...
Humans Machine Learning Algorithms Databases, Factual Female Male Surgical Wound Infection Medical Records Middle Aged Predictive Value of Tests Bayes Theorem Data Mining
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