نتایج جستجو برای: outpatient scheduling systems
تعداد نتایج: 1274486 فیلتر نتایج به سال:
one of the main features of high throughput computing systems is the availability of high power processing resources. cloud computing systems can offer these features through concepts like pay-per-use and quality of service (qos) over the internet. many applications in cloud computing are represented by workflows. quality of service is one of the most important challenges in the context of sche...
No. 0070482 A Stochastic Overbooking Model for Outpatient Clinical Scheduling with No-Shows Kumar Muthuraman, Mark Lawley School of Industrial Engineering, School of Biomedical Engineering, Purdue University, West Lafayette, IN 47906 [email protected], (765) 494-5416, [email protected], (765) 494-5415 POMS 18th Annual Conference Dallas, Texas, U.S.A., May 4 to May 7, 2007 We formulate a stocha...
data grid is an infrastructure that controls huge amount of data files, and provides intensive computational resources across geographically distributed collaboration. the heterogeneity and geographic dispersion of grid resources and applications place some complex problems such as job scheduling. most existing scheduling algorithms in grids only focus on one kind of grid jobs which can be data...
When it comes to scheduling health consultations, e-appointment systems are helpful for patients. Non-attendance is a common obstacle that many medical practitioners must endure when the management of appointments in healthcare facilities and outpatient settings. Prior surveys have found users open use such mechanisms patients would be likely schedule an online appointment with their doctor if ...
Background and Aim: Considering the information needs of users improves the quality of care . We aimed to Survey the Compliance Rate of Surgical Information Systems with The Information Needs of surgeons. Materials and Methods: This was a descriptive and original study. Statistical Society consisted of two groups. First was the hospital information systems in hospitals of Tehran University of ...
: In this paper, the operation scheduling of Microgrids (MGs), including Distributed Energy Resources (DERs) and Energy Storage Systems (ESSs), is proposed using a Deep Reinforcement Learning (DRL) based approach. Due to the dynamic characteristic of the problem, it firstly is formulated as a Markov Decision Process (MDP). Next, Deep Deterministic Policy Gradient (DDPG) algorithm is presented t...
data about the prevalence of communicable and non-communicable diseases, as one of the most important categories of epidemiological data, is used for interpreting health status of communities. this study aims to calculate the prevalence of outpatient diseases through the characterization of outpatient prescriptions. the data used in this study is collected from 1412 prescriptions for various ty...
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