AIMC Topic: Surgical Wound Infection

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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.
Humans Machine Learning Decision Support Systems, Clinical Urinary Tract Infections Surgical Wound Infection Cross Infection Algorithms Prognosis Electronic Health Records Sepsis
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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...
Surgical Wound Infection Clinical Decision Rules Cohort Studies ROC Curve Area Under Curve Spinal Fusion Artificial Intelligence Machine Learning Retrospective Studies Female Male Middle Aged Comorbidity Deep Learning Humans Neural Networks, Computer
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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.
Lumbar Vertebrae Rectal Neoplasms Surgical Wound Infection Middle Aged Spinal Nerve Roots Low Back Pain Kidney Neoplasms Pain Measurement Postoperative Complications Lung Neoplasms Aged Metastasectomy Humans Plastic Surgery Procedures Length of Stay Psoas Muscles Adult Blood Loss, Surgical Retrospective Studies Prostatic Neoplasms Liver Neoplasms Spinal Neoplasms Biomechanical Phenomena Operative Time Female Neurosurgical Procedures Cerebrospinal Fluid Leak Male
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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...
Predictive Value of Tests Bayes Theorem Data Mining Surgical Wound Infection Databases, Factual Female Male Middle Aged Medical Records Humans Machine Learning Algorithms
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Artificial Intelligence Methods for Surgical Site Infection: Impacts on Detection, Monitoring, and Decision Making.

Surgical infections Aug 27, 2019
There has been tremendous growth in the amount of new surgical site infection (SSI) data generated. Key challenges exist in understanding the data for robust clinical decision-support. Limitations of traditional methodologies to handle these data le...
Humans Disease Management Epidemiological Monitoring Artificial Intelligence Image Processing, Computer-Assisted Decision Making Surgical Wound Infection
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Chronic wound assessment and infection detection method.

BMC medical informatics and decision making May 24, 2019
BACKGROUND: Numerous patients suffer from chronic wounds and wound infections nowadays. Until now, the care for wounds after surgery still remain a tedious and challenging work for the medical personnel and patients. As a result, with the help of the...
Support Vector Machine Cluster Analysis Surgical Wound Infection Humans Algorithms Retrospective Studies
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A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.

IEEE transactions on neural networks and learning systems Oct 9, 2018
The positive-unlabeled (PU) classification is a common scenario in real-world applications such as healthcare, text classification, and bioinformatics, in which we only observe a few samples labeled as "positive" together with a large volume of "unla...
Area Under Curve Sample Size Electroencephalography Seizures Surgical Wound Infection Humans Neural Networks, Computer
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Plasma and cerebrospinal fluid population pharmacokinetic modeling and simulation of meropenem after intravenous and intrathecal administration in postoperative neurosurgical patients.

Diagnostic microbiology and infectious disease Aug 17, 2018
Combined intravenous and local intrathecal administration of meropenem in patients after craniotomy is widely used to treat intracranial infections. However, the optimal dosing regimen of meropenem has not been investigated, posing a risk to treatmen...
Humans Administration, Inhalation Anti-Bacterial Agents Beijing Neurosurgical Procedures Male Female Plasma Surgical Wound Infection Microbial Sensitivity Tests Meropenem Time Factors Administration, Intravenous Cerebrospinal Fluid
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Enhanced neonatal surgical site infection prediction model utilizing statistically and clinically significant variables in combination with a machine learning algorithm.

American journal of surgery Jul 24, 2018
BACKGROUND: Machine-learning can elucidate complex relationships/provide insight to important variables for large datasets. This study aimed to develop an accurate model to predict neonatal surgical site infections (SSI) using different statistical m...
Area Under Curve Surgical Wound Infection Infant Algorithms ROC Curve Decision Support Techniques Logistic Models Retrospective Studies Female Infant, Newborn Risk Factors Male Risk Assessment Humans Machine Learning
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Detecting Evidence of Intra-abdominal Surgical Site Infections from Radiology Reports Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Free-text reports in electronic health records (EHRs) contain medically significant information - signs, symptoms, findings, diagnoses - recorded by clinicians during patient encounters. These reports contain rich clinical information which can be le...
Humans Machine Learning Electronic Health Records Abdomen Natural Language Processing Radiology Information Systems Vocabulary, Controlled Radiography Surgical Wound Infection Datasets as Topic Reference Standards
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