Machine learning for clinical decision support in infectious diseases: a narrative review of current applications
Background Machine learning (ML) is a growing field in medicine. This narrative review
describes the current body of literature on ML for clinical decision support in infectious …
describes the current body of literature on ML for clinical decision support in infectious …
Machine learning and prediction of infectious diseases: a systematic review
OE Santangelo, V Gentile, S Pizzo, D Giordano… - Machine Learning and …, 2023 - mdpi.com
The aim of the study is to show whether it is possible to predict infectious disease outbreaks
early, by using machine learning. This study was carried out following the guidelines of the …
early, by using machine learning. This study was carried out following the guidelines of the …
[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
Potential applications and performance of machine learning techniques and algorithms in clinical practice: a systematic review
EM Nwanosike, BR Conway, HA Merchant… - International journal of …, 2022 - Elsevier
Purpose The advent of clinically adapted machine learning algorithms can solve numerous
problems ranging from disease diagnosis and prognosis to therapy recommendations. This …
problems ranging from disease diagnosis and prognosis to therapy recommendations. This …
Machine learning techniques for hypoglycemia prediction: trends and challenges
(1) Background: the use of machine learning techniques for the purpose of anticipating
hypoglycemia has increased considerably in the past few years. Hypoglycemia is the drop in …
hypoglycemia has increased considerably in the past few years. Hypoglycemia is the drop in …
[HTML][HTML] Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies
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 …
Its use in infection management is catching up as identified in a recent review in this journal …
Predicting chronic kidney disease using machine learning algorithms
In the modern era, everyone tries to be aware of their health, but because of their workload
and hectic schedules, they only pay attention to it when certain symptoms appear. However …
and hectic schedules, they only pay attention to it when certain symptoms appear. However …
[HTML][HTML] Diagnostic and prognostic prediction models in ventilator-associated pneumonia: systematic review and meta-analysis of prediction modelling studies
Purpose Existing expert systems have not improved the diagnostic accuracy of ventilator-
associated pneumonia (VAP). The aim of this systematic literature review was to review and …
associated pneumonia (VAP). The aim of this systematic literature review was to review and …
[HTML][HTML] PRAISE: providing a roadmap for automated infection surveillance in Europe
MSM van Mourik, SM van Rooden, M Abbas… - Clinical Microbiology …, 2021 - Elsevier
Introduction Healthcare-associated infections (HAI) are among the most common adverse
events of medical care. Surveillance of HAI is a key component of successful infection …
events of medical care. Surveillance of HAI is a key component of successful infection …
Pharmacometrics and machine learning partner to advance clinical data analysis
Clinical pharmacology is a multidisciplinary data sciences field that utilizes mathematical
and statistical methods to generate maximal knowledge from data. Pharmacometrics (PMX) …
and statistical methods to generate maximal knowledge from data. Pharmacometrics (PMX) …