AIMC Topic: Surgical Wound Infection

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[Risk factors for multiple debridements of the patients with deep incisional surgical site infection after spinal surgery].

Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences Dec 30, 2020
OBJECTIVE: To investigate the risk factors that contribute to multiple debridements in patients suffering from deep incisional surgical site infection after spinal surgery and advise medical personnel to pay special attention to these risk factors.
Debridement Young Adult Adult Male Middle Aged Female Humans Risk Factors Anti-Bacterial Agents Methicillin-Resistant Staphylococcus aureus Aged Retrospective Studies Surgical Wound Infection
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"Say it Louder, Say it Clear" - Assessing the Utility of Natural Language Processing.

Annals of surgery Oct 1, 2020
Humans Natural Language Processing Surgical Wound Infection
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Portable Automated Surveillance of Surgical Site Infections Using Natural Language Processing: Development and Validation.

Annals of surgery Oct 1, 2020
OBJECTIVES: We present the development and validation of a portable NLP approach for automated surveillance of SSIs.
Adult Male Middle Aged Humans Female Aged Natural Language Processing Cohort Studies Surgical Wound Infection Mobile Applications Quality Improvement Population Surveillance Surgical Procedures, Operative
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Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics.

The Journal of bone and joint surgery. American volume Dec 18, 2019
BACKGROUND: The identification of surgical site infections for infection surveillance in hospitals depends on the manual abstraction of medical records and, for research purposes, depends mainly on the use of administrative or claims data. The object...
Algorithms Female Aged Humans Natural Language Processing Surgical Wound Infection Orthopedic Procedures Middle Aged Young Adult ROC Curve Adult Predictive Value of Tests Male
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[Usefulness of the CONUT Score for Predicting the Risk of Surgical Site Infections].

Gan to kagaku ryoho. Cancer & chemotherapy Dec 1, 2019
BACKGROUND: Surgical site infections(SSIs)occur at a high frequency in patients after rectal cancer surgery and are readily aggravated. Therefore, prophylactic measures for infections based on the evaluation of the patient's perioperative risk are ve...
Female Surgical Wound Infection Male Humans Risk Factors Colectomy Aged Operative Time Nutritional Status Retrospective Studies Rectal Neoplasms
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Machine learning applications for the prediction of surgical site infection in neurological operations.

Neurosurgical focus Aug 1, 2019
OBJECTIVE: Surgical site infection (SSI) following a neurosurgical operation is a complication that impacts morbidity, mortality, and economics. Currently, machine learning (ML) algorithms are used for outcome prediction in various neurosurgical aspe...
Middle Aged ROC Curve Neurosurgical Procedures Aged Adult Male Surgical Wound Infection Neurosurgery Humans Machine Learning Retrospective Studies Female Risk Factors
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Application of Machine Learning to Prediction of Surgical Site Infection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Surgical site infections are an important health concern, particularly in low-resource areas, where there is poor access to clinical facilities or trained clinical staff. As an application of machine learning, we present results from a study conducte...
Surgical Wound Infection Sensitivity and Specificity Logistic Models Support Vector Machine Pregnancy Female Cesarean Section Humans Machine Learning Forecasting
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Hyperglycemia Is Associated with Surgical Site Infections among General and Vascular Surgery Patients.

The American surgeon Oct 1, 2017
Surgical site infection (SSI) is a common cause of morbidity in general and vascular surgery patients. There is inconsistent evidence on the association of glycemic status with SSI, and its utility in predicting and mitigating SSI. General and vascul...
Odds Ratio Humans Surgical Wound Infection Risk Assessment General Surgery Preoperative Period Prospective Studies Hyperglycemia Vascular Surgical Procedures Risk Factors Postoperative Period Follow-Up Studies
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Automated Detection of Postoperative Surgical Site Infections Using Supervised Methods with Electronic Health Record Data.

Studies in health technology and informatics Jan 1, 2015
The National Surgical Quality Improvement Project (NSQIP) is widely recognized as "the best in the nation" surgical quality improvement resource in the United States. In particular, it rigorously defines postoperative morbidity outcomes, including su...
Supervised Machine Learning Data Mining Surgical Wound Infection Sensitivity and Specificity Humans Diagnosis, Computer-Assisted Electronic Health Records Decision Support Systems, Clinical Reproducibility of Results
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