AIMC Topic: Penicillins

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Improving the performance of machine learning penicillin adverse drug reaction classification with synthetic data and transfer learning.

Internal medicine journal Mar 14, 2024
BACKGROUND: Machine learning may assist with the identification of potentially inappropriate penicillin allergy labels. Strategies to improve the performance of existing models for this task include the use of additional training data, synthetic data...
Electronic Health Records Natural Language Processing Machine Learning Anti-Bacterial Agents Adverse Drug Reaction Reporting Systems Drug Hypersensitivity Drug-Related Side Effects and Adverse Reactions Penicillins Humans Neural Networks, Computer
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Predicting Penicillin Allergy: A United States Multicenter Retrospective Study.

The journal of allergy and clinical immunology. In practice Jan 17, 2024
BACKGROUND: Using the reaction history in logistic regression and machine learning (ML) models to predict penicillin allergy has been reported based on non-US data.
Anti-Bacterial Agents Retrospective Studies Humans Machine Learning Adult Male Female Aged Penicillins Drug Hypersensitivity Middle Aged Case-Control Studies United States Skin Tests
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Artificial intelligence and the potential for perioperative delabeling of penicillin allergies for neurosurgery inpatients.

British journal of neurosurgery Feb 16, 2023
PURPOSE OF THE ARTICLE: Patients with penicillin allergy labels are more likely to have postoperative wound infections. When penicillin allergy labels are interrogated, a significant number of individuals do not have penicillin allergies and may be d...
Neurosurgical Procedures Surgical Wound Infection Penicillins Drug Hypersensitivity Cohort Studies Inpatients Male Middle Aged Retrospective Studies Female Aged Adult Humans Algorithms Artificial Intelligence Anti-Bacterial Agents
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An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process.

ISA transactions Nov 2, 2022
Accurate and reliable measurement of key biological parameters during penicillin fermentation is of great significance for improving penicillin production. In this research context, a new hybrid soft sensor model method based on RF-IHHO-LSTM (random ...
Deep Learning Algorithms Random Forest Fermentation Penicillins
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Automation of penicillin adverse drug reaction categorisation and risk stratification with machine learning natural language processing.

International journal of medical informatics Oct 5, 2021
BACKGROUND: The penicillin adverse drug reaction (ADR) label is common in electronic health records (EHRs). However, there is significant misclassification between allergy and intolerance within the EHR and most patients can be delabelled after an im...
Penicillins Humans Machine Learning Drug-Related Side Effects and Adverse Reactions Automation Risk Assessment Natural Language Processing Algorithms Electronic Health Records
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[Surveillance of Sensitivity to Penicillin in streptococcus Agalactiae recovered from pregnant women between 35-37 weeks of gestation].

Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) Dec 21, 2017
Streptococcus agalactiae (GBS) cause severe infections in newborns under three months. Meningitis, pneumonia and sepsis are the main infectious diseases in these children. These infections are among the most serious that an individual can suffer in h...
Penicillins Pregnancy Trimester, Third Microbial Sensitivity Tests Streptococcus agalactiae Streptococcal Infections Humans Female Penicillin Resistance Pregnancy Animals
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