We aimed to develop a novel prediction model for early neurological deterioration(END) based on an interpretable machine learning(ML) algorithm atrial fibrillation(AF)-related stroke and evaluate the accuracy feature importance of ML models.

Hospital readmission rate is high for heart failure patients. Early detection of deterioration will help doctors prevent readmissions, thus reducing health care cost and providing patients with just-in-time intervention. Wearable devices (e.g., wristbands and smart watches) provide a convenient technology for continuous outpatient monitoring. In the paper, we explore the feasibility of monitori...

For proper management of life cycle of machines and manufacturing facilities, it is important to perform appropriate maintenance operations, and to keep machine status for better reuse and recycling opportunity. For this purpose, a virtual maintenance system is very effective, where facility life cycle model is constructed in computer, and reliability and availability of machines are predicted ...

A new unrelated parallel machine scheduling problem with deteriorating 26 effect and the objective of makespan minimization is presented in this paper. The 27 deterioration of each machine (and therefore of the job processing times) is a function of the 28 sequence of jobs that have been processed by the machine and not (as considered in the 29 literature) by the time at which each job is assig...

The proposed study considers both product deterioration and production process deterioration in a traditional Economical Production Quantity model. In this model, backlog and rework process are also taken into consideration while the production process is assumed to be imperfect. Unserviceable products will be manufactured as a result. Unserviceable products are kept in storage until the end of...

Clinical study has found early detection and intervention to be essential for preventing clinical deterioration in patients at general hospital units. In this paper, we envision a two-tiered early warning system designed to identify the signs of clinical deterioration and provide early warning of serious clinical events. The first tier of the system automatically identifies patients at risk of ...