[HTML][HTML] A systematic review of the prediction of hospital length of stay: Towards a unified framework

K Stone, R Zwiggelaar, P Jones… - PLOS digital …, 2022 - journals.plos.org
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 …

[HTML][HTML] A systematic review on healthcare analytics: application and theoretical perspective of data mining

MS Islam, MM Hasan, X Wang, HD Germack… - Healthcare, 2018 - mdpi.com
The growing healthcare industry is generating a large volume of useful data on patient
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

A Scala, A Borrelli, G Improta - Scientific Reports, 2022 - nature.com
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 …

Predictors of in-hospital length of stay among cardiac patients: a machine learning approach

TA Daghistani, R Elshawi, S Sakr, AM Ahmed… - International journal of …, 2019 - Elsevier
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 …

A novel continuous blood pressure estimation approach based on data mining techniques

F Miao, N Fu, YT Zhang, XR Ding… - IEEE journal of …, 2017 - ieeexplore.ieee.org
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 …

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 …

A hybrid algorithm of ML and XAI to prevent breast cancer: A strategy to support decision making

F Silva-Aravena, H Núñez Delafuente… - Cancers, 2023 - mdpi.com
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 …

Machine learning in the prediction of medical inpatient length of stay

S Bacchi, Y Tan, L Oakden‐Rayner… - Internal medicine …, 2022 - Wiley Online Library
Length of stay (LOS) estimates are important for patients, doctors and hospital
administrators. However, making accurate estimates of LOS can be difficult for medical …

Predicting coronary artery disease: a comparison between two data mining algorithms

H Ayatollahi, L Gholamhosseini, M Salehi - BMC public health, 2019 - Springer
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 …

Predicting chronic disease hospitalizations from electronic health records: an interpretable classification approach

TS Brisimi, T Xu, T Wang, W Dai… - Proceedings of the …, 2018 - ieeexplore.ieee.org
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 …