Mohammed Abaker^1,*, Abdelzahir Abdelmaboud², Magdi Osman³, Mohammed Alghobiri⁴, Ahmed Abdelmotlab⁴

Intelligent Automation & Soft Computing, Vol.28, No.3, pp. 843-856, 2021, DOI:10.32604/iasc.2021.017714

Abstract The rock-fall is a natural hazard that results in many economic damages and human losses annually, and thus proactive policies to prevent rock-fall hazard are needed. Such policies require predicting the rock-fall occurrence and deciding to alert the road users at the appropriate time. Thus, this study develops a rock-fall early warning system based on logistic regression model. In this system, the logistic regression model is used to predict the rock-fall occurrence. The decision-making algorithm is used to classify the hazard levels and delivers early warning action. This study adopts two criteria to evaluate the system predictive performance, including overall… More >

Ashley R. Kroeger¹, Jacqueline Morrison², Andrew H. Smith¹

Congenital Heart Disease, Vol.13, No.1, pp. 98-104, 2018, DOI:10.1111/chd.12525

Abstract Objective: Unplanned readmission to the pediatric cardiac intensive care unit (CICU) is associated with significant morbidity and mortality. The Pediatric Early Warning Score (PEWS) predicts ward patients at risk for decompensation but has not been previously reported to identify at-risk patients with cardiac disease prior to ward transfer. This study aimed to determine whether PEWS prior to transfer may serve as a predictor of unplanned readmission to the CICU.
Design: All patients discharged from a tertiary children’s hospital CICU from September 2012 through August 2015 were included for analysis. PEWS assessment was performed following transfer to the cardiac ward, and… More >

A.S. Koyuncugil¹, N. Ozgulbas²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.11, No.3, pp. 79-80, 2009, DOI:10.3970/icces.2009.011.079

Abstract The aim of this study is to present the Hospital Early Warning System (HEWS) that developed for determining financial performance and risk indicators of Ministry of Health Hospitals based on automation and in an objective manner with usage of data mining.
HEWS is an automation system based on Data Mining that hospital manager, Hospital Unions Managers in case of the constitute of hospital unions, Ministry of Health and the other needing ones will use for:
• determining financial performance of hospitals,
• detecting financial risks of hospitals,
• determining financial performance indicators objectively,
• determining early warning… More >

Xiaoliang Wang^{1, *}, Wenhua Song¹, Bowei Zhang¹, Brandon Mausler², Frank Jiang^{1, 3}

CMC-Computers, Materials & Continua, Vol.59, No.1, pp. 135-147, 2019, DOI:10.32604/cmc.2019.05687

Abstract Nowadays, the number of vehicles in China has increased significantly. The increase of the number of vehicles has also led to the increasingly complex traffic situation and the urgent safety measures in need. However, the existing early warning devices such as geomagnetic, ultrasonic and infrared detection have some shortcomings like difficult installation and maintenance. In addition, geomagnetic detection will damage the road surface, while ultrasonic and infrared detection will be greatly affected by the environment. Considering the shortcomings of the existing solutions, this paper puts forward a solution of early warning for vehicle turning meeting based on image acquisition and… More >