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[HTML][HTML] A systematic review of the prediction of hospital length of stay: Towards a unified framework
Hospital length of stay of patients is a crucial factor for the effective planning and
management of hospital resources. There is considerable interest in predicting the LoS of …
management of hospital resources. There is considerable interest in predicting the LoS of …
[HTML][HTML] A systematic review on healthcare analytics: application and theoretical perspective of data mining
The growing healthcare industry is generating a large volume of useful data on patient
demographics, treatment plans, payment, and insurance coverage—attracting the attention …
demographics, treatment plans, payment, and insurance coverage—attracting the attention …
Predictive analysis of lower limb fractures in the orthopedic complex operative unit using artificial intelligence: the case study of AOU Ruggi
The length of stay (LOS) in hospital is one of the main parameters for evaluating the
management of a health facility, of its departments in relation to the different specializations …
management of a health facility, of its departments in relation to the different specializations …
Predictors of in-hospital length of stay among cardiac patients: a machine learning approach
Abstract Objective The In-hospital length of stay (LOS) is expected to increase as
cardiovascular diseases complexity increases and the population ages. This will affect …
cardiovascular diseases complexity increases and the population ages. This will affect …
A novel continuous blood pressure estimation approach based on data mining techniques
Continuous blood pressure (BP) estimation using pulse transit time (PTT) is a promising
method for unobtrusive BP measurement. However, the accuracy of this approach must be …
method for unobtrusive BP measurement. However, the accuracy of this approach must be …
Patient length of stay and mortality prediction: a survey
A Awad, M Bader–El–Den… - Health services …, 2017 - journals.sagepub.com
Over the past few years, there has been increased interest in data mining and machine
learning methods to improve hospital performance, in particular hospitals want to improve …
learning methods to improve hospital performance, in particular hospitals want to improve …
A hybrid algorithm of ML and XAI to prevent breast cancer: A strategy to support decision making
Simple Summary Breast cancer is one of the most common health problems in the world. As
a result, governments and researchers in different countries are trying to help prevent the …
a result, governments and researchers in different countries are trying to help prevent the …
Machine learning in the prediction of medical inpatient length of stay
Length of stay (LOS) estimates are important for patients, doctors and hospital
administrators. However, making accurate estimates of LOS can be difficult for medical …
administrators. However, making accurate estimates of LOS can be difficult for medical …
Predicting coronary artery disease: a comparison between two data mining algorithms
Abstract Background Cardiovascular diseases (CADs) are the first leading cause of death
across the world. World Health Organization has estimated that morality rate caused by …
across the world. World Health Organization has estimated that morality rate caused by …
Predicting chronic disease hospitalizations from electronic health records: an interpretable classification approach
Urban living in modern large cities has significant adverse effects on health, increasing the
risk of several chronic diseases. We focus on the two leading clusters of chronic diseases …
risk of several chronic diseases. We focus on the two leading clusters of chronic diseases …