The future role of machine learning in clinical transplantation
KL Connor, ED O'Sullivan, LP Marson… - …, 2021 - journals.lww.com
The use of artificial intelligence and machine learning (ML) has revolutionized our daily lives
and will soon be instrumental in healthcare delivery. The rise of ML is due to multiple factors …
and will soon be instrumental in healthcare delivery. The rise of ML is due to multiple factors …
Stock market one-day ahead movement prediction using disparate data sources
B Weng, MA Ahmed, FM Megahed - Expert Systems with Applications, 2017 - Elsevier
There are several commercial financial expert systems that can be used for trading on the
stock exchange. However, their predictions are somewhat limited since they primarily rely on …
stock exchange. However, their predictions are somewhat limited since they primarily rely on …
A data-driven approach to modeling physical fatigue in the workplace using wearable sensors
Wearable sensors are currently being used to manage fatigue in professional athletics,
transportation and mining industries. In manufacturing, physical fatigue is a challenging …
transportation and mining industries. In manufacturing, physical fatigue is a challenging …
A framework for understanding artificial intelligence research: insights from practice
Purpose The current evolution of artificial intelligence (AI) practices and applications is
creating a disconnection between modern-day information system (IS) research and …
creating a disconnection between modern-day information system (IS) research and …
Big data features, applications, and analytics in cardiology—a systematic literature review
In today's digital world the information surges with the widespread use of the internet and
global communication systems. Healthcare systems are also facing digital transformations …
global communication systems. Healthcare systems are also facing digital transformations …
A data analytic framework for physical fatigue management using wearable sensors
The use of expert systems in optimizing and transforming human performance has been
limited in practice due to the lack of understanding of how an individual's performance …
limited in practice due to the lack of understanding of how an individual's performance …
Predicting graft survival among kidney transplant recipients: A Bayesian decision support model
Predicting the graft survival for kidney transplantation is a high stakes undertaking
considering the shortage of available organs and the utilization of healthcare resources. The …
considering the shortage of available organs and the utilization of healthcare resources. The …
Feature selection using firefly optimization for classification and regression models
In this research, we propose a variant of the Firefly Algorithm (FA) for discriminative feature
selection in classification and regression models for supporting decision making processes …
selection in classification and regression models for supporting decision making processes …
Network-based risk assessment of country-level sustainable development goals
A Qazi, LC Angell, A Daghfous… - … Impact Assessment Review, 2023 - Elsevier
Abstract The Sustainable Development Goal (SDG) index is an aggregate performance
measure of the progress of individual countries in achieving 17 SDGs covering economic …
measure of the progress of individual countries in achieving 17 SDGs covering economic …
Development of a Bayesian Belief Network-based DSS for predicting and understanding freshmen student attrition
Student attrition–the departure from an institution of higher learning prior to the achievement
of a degree or earning due educational credentials–is an administratively important …
of a degree or earning due educational credentials–is an administratively important …