[HTML][HTML] A systematic review on Artificial Intelligence applied to predictive cardiovascular risk analysis in liver transplantation
N Hirani, P Chatterjee - F1000Research, 2024 - f1000research.com
Liver transplantation is the ultimate therapeutic option for patients with end-stage liver
disease. The clinical management of transplant patients significantly impacts their …
disease. The clinical management of transplant patients significantly impacts their …
Developing preeminent model based on empirical approach to prognose liver metastasis
Liver metastasis is a type of cancer which is associated with diseases like diabetes, non-
alcoholic fatty liver and obesity. The main aim of this paper is to develop efficient and …
alcoholic fatty liver and obesity. The main aim of this paper is to develop efficient and …
Predicting the LOS for Capacity Planning in the Covid-19 Era Using Machine Learning Algorithms
A Alfallah, S Sawaqed… - IIE Annual Conference …, 2022 - search.proquest.com
Due to the global pandemic of a novel coronavirus, many hospitals started running low on
beds, ventilators, and staff. Therefore, it is extremely essential to predict the patient's Length …
beds, ventilators, and staff. Therefore, it is extremely essential to predict the patient's Length …
Predictive Cardiometabolic Risk Profiling of Patients Using Vascular Age in Liver Transplantation
P Chatterjee, J Menéndez, O Noceti… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Liver transplantation is the last therapeutic option in patients with end-stage liver diseases.
The adequate clinical management of transplant-patients impacts their vital prognosis and …
The adequate clinical management of transplant-patients impacts their vital prognosis and …
Optimisation collaborative par des agents auto-adaptatifs pour résoudre les problèmes d'ordonnancement des patients en inter-intra urgences hospitalières
F Ajmi - 2021 - theses.hal.science
Cette thèse s' attaque à des problèmes d'ordonnancement des patients aux urgences, avec
prise en compte des contraintes d'aval, en utilisant des approches d'optimisation …
prise en compte des contraintes d'aval, en utilisant des approches d'optimisation …
[PDF][PDF] Exploring Drivers of Staff Engagement in Healthcare Organizations Using Tree-based Ensemble Learning Algorithms
R Al-Nammari - 2021 - khalifauniversity.elsevierpure.com
Staff Engagement in the work environment is vital to organizational success and welfare.
Engaged employees are motivated and indulged in their work as they have a sense of …
Engaged employees are motivated and indulged in their work as they have a sense of …