Intelligence in the Internet of Medical Things era: A systematic review of current and future trends
Abstract Internet of Medical Things (IoMT) envisions a network of medical devices and
people, which use wireless communication to enable the exchange of healthcare data …
people, which use wireless communication to enable the exchange of healthcare data …
Particle swarm optimization feature selection for breast cancer recurrence prediction
Women who have recovered from breast cancer (BC) always fear its recurrence. The fact
that they have endured the painstaking treatment makes recurrence their greatest fear …
that they have endured the painstaking treatment makes recurrence their greatest fear …
[HTML][HTML] Computer-aided decision-making for predicting liver disease using PSO-based optimized SVM with feature selection
Using medical data mining models has been considered as a significant way to predict
diseases in recent years. In the field of healthcare, we face a large amount of data, and this …
diseases in recent years. In the field of healthcare, we face a large amount of data, and this …
[HTML][HTML] Early prediction of ICU readmissions using classification algorithms
M Loreto, T Lisboa, VP Moreira - Computers in biology and medicine, 2020 - Elsevier
Context: Determining which patients are ready for discharge from an Intensive Care Unit
(ICU) presents a huge challenge, as ICU readmissions are associated with several negative …
(ICU) presents a huge challenge, as ICU readmissions are associated with several negative …
Efficient algorithms based on the k-means and Chaotic League Championship Algorithm for numeric, categorical, and mixed-type data clustering
T Wangchamhan, S Chiewchanwattana… - Expert Systems with …, 2017 - Elsevier
The success rates of the expert or intelligent systems depend on the selection of the correct
data clusters. The k-means algorithm is a well-known method in solving data clustering …
data clusters. The k-means algorithm is a well-known method in solving data clustering …
Processing electronic medical records to improve predictive analytics outcomes for hospital readmissions
HM Zolbanin, D Delen - Decision Support Systems, 2018 - Elsevier
Hospital readmissions are costly but largely preventable. In recent years, many researchers
have used predictive analytics to build models that can minimize the adverse economic and …
have used predictive analytics to build models that can minimize the adverse economic and …
Design and conceptual proposal of an intelligent clinical decision support system for the diagnosis of suspicious obstructive sleep apnea patients from health profile
M Casal-Guisande, M Torres-Durán… - International journal of …, 2023 - mdpi.com
Obstructive Sleep Apnea (OSA) is a chronic sleep-related pathology characterized by
recurrent episodes of total or partial obstruction of the upper airways during sleep. It entails a …
recurrent episodes of total or partial obstruction of the upper airways during sleep. It entails a …
Efficient genetic K-means clustering for health care knowledge discovery
A Alsayat, H El-Sayed - 2016 IEEE 14th International …, 2016 - ieeexplore.ieee.org
Data mining and machine learning are becoming the most interesting research areas and
increasingly popular in health organizations. The hidden patterns among patients data can …
increasingly popular in health organizations. The hidden patterns among patients data can …
[HTML][HTML] Natural language processing to identify digital learning tools in postgraduate family medicine: protocol for a scoping review
H Yan, A Rahgozar, C Sethuram… - JMIR Research …, 2022 - researchprotocols.org
Background The COVID-19 pandemic has highlighted the growing need for digital learning
tools in postgraduate family medicine training. Family medicine departments must …
tools in postgraduate family medicine training. Family medicine departments must …