Artificial intelligence develop rapidly in recent years. Computer game is an important research field of artificial intelligence. This paper aim at traditional computer games. It produces the system of computer game a...
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Artificial intelligence develop rapidly in recent *** game is an important research field of artificial *** paper aim at traditional computer *** produces the system of computer game algorithm evaluation from the part...
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ISBN:
(纸本)9781467397155
Artificial intelligence develop rapidly in recent *** game is an important research field of artificial *** paper aim at traditional computer *** produces the system of computer game algorithm evaluation from the part of convenience and *** paper analyzed the main factors and calculation methods of the computer game decision *** designed the system framework and data structure of the estimate *** described the implementation and prospect of the system.
Characterizing data sets through logic rules is a fundamental task for modeling knowledge systems. Mathematical tools, such as Rough Set Theory (RST) and Formal Concept Analysis (FCA), offer mechanisms for automatical...
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ISBN:
(纸本)9783031678677;9783031678684
Characterizing data sets through logic rules is a fundamental task for modeling knowledge systems. Mathematical tools, such as Rough Set Theory (RST) and Formal Concept Analysis (FCA), offer mechanisms for automatically obtaining these logic rules. In this paper, we will analyze a special kind of set of logic rules in fuzzy rough set theory called decision algorithm. In particular, a definition of efficiency of a decision algorithm is introduced taking into account a new fuzzy relevance indicator based on the strength of the decision rules.
OBJECTIVE: The main objective of this study is to utilize health analytics methods in designing an evidence based decision algorithm to support healthcare professionals in identifying and safely diverting less risky e...
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OBJECTIVE: The main objective of this study is to utilize health analytics methods in designing an evidence based decision algorithm to support healthcare professionals in identifying and safely diverting less risky emergency patients to ambulatory care settings or referring them to other hospitals in order to reduce emergency department crowding. METHODS: The study used retrospective analysis methods. Data were retrieved from the hospital data warehouse system including a total of 13,750 emergency encounters conducted over the first six months of 2014. Descriptive analytics were used to explore different variables and test for any relationships between these variables and admission probability of the patient to determine which variables could be used to build the suggested decision algorithm model. RESULTS: Three variables;acuity level, mode of arrival and age group were identified as the most influential factors on future admission status of emergency patients and were recommended as indicators for designing the decision algorithm. DISCUSSION: Based on the analysis and the suggested decision algorithm, 30% of emergency patients had a 0.2% admission rate;these were suggested to be diverted to urgent outpatient appointments within 24 hours. About 20% of patients can be safely referred to other hospitals, according to the conditions set in the decision algorithm while the remaining 50% of patients should continue their emergency treatment. CONCLUSION: Health analytics can support designing evidence based tools to guide the process of performance improvement, in our study reducing emergency department crowding at King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia. (c) 2015 The Authors. Published by Elsevier B.V.
作者:
Mohamed KhalifaConsultant
Medical & Clinical Informatics King Faisal Specialist Hospital & Research Center Jeddah 21499 Saudi Arabia King
OBJECTIVE: The main objective of this study is to utilize health analytics methods in designing an evidence based decision algorithm to support healthcare professionals in identifying and safely diverting less risky e...
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OBJECTIVE: The main objective of this study is to utilize health analytics methods in designing an evidence based decision algorithm to support healthcare professionals in identifying and safely diverting less risky emergency patients to ambulatory care settings or referring them to other hospitals in order to reduce emergency department crowding. METHODS: The study used retrospective analysis methods. Data were retrieved from the hospital data warehouse system including a total of 13,750 emergency encounters conducted over the first six months of 2014. Descriptive analytics were used to explore different variables and test for any relationships between these variables and admission probability of the patient to determine which variables could be used to build the suggested decision algorithm model. RESULTS: Three variables; acuity level, mode of arrival and age group were identified as the most influential factors on future admission status of emergency patients and were recommended as indicators for designing the decision algorithm. DISCUSSION: Based on the analysis and the suggested decision algorithm, 30% of emergency patients had a 0.2% admission rate; these were suggested to be diverted to urgent outpatient appointments within 24 hours. About 20% of patients can be safely referred to other hospitals, according to the conditions set in the decision algorithm while the remaining 50% of patients should continue their emergency treatment. CONCLUSION: Health analytics can support designing evidence based tools to guide the process of performance improvement, in our study reducing emergency department crowding at King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
The act of balancing between water demand and water supply in Phuket Island is facing challenges, suggesting water reuse options in various activities on the island should be properly promoted considering the potentia...
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The act of balancing between water demand and water supply in Phuket Island is facing challenges, suggesting water reuse options in various activities on the island should be properly promoted considering the potential benefits in a variety of dimensions. This research presented options to reuse effluent water from wastewater treatment plants for Phuket Municipality in 3 main activity groups, namely, domestic reuse, agricultural reuse, and raw water for water treatment plants (WTP). Water demand, additional water treatment trains, and the length of the major water distribution pipeline for each water reuse option were designed, and its cost and expenses were calculated. Multi-criteria decision analysis (MCDA) was used by 1000Minds internet-based soft-ware to prioritize the suitability of each water reuse option based on a four-dimensional scorecard, including economic, social, health, and environmental aspects. The decision algorithm for the trade-off scenario based on the government's budget allocation was proposed to obtain weighing without subjective expert opinions. The results revealed that recycling effluent water as raw water for the existing WTP was the first priority, followed by agriculture reuse for planting coconut, Phuket's economic crops, and domestic reuse. There was a significant difference in the total scores of economic and health indicators between the first-and second-priority options because of the difference in the additional treatment system in which the first-priority option applied the microfiltration and reverse osmosis system, which could effectively eliminate viruses and chemical micro -pollutants. In addition, the first priority option required a much smaller piping system than other water reuse options because it relied on the existing plumbing system of WTP, lowering the investment cost, which was a very important indicator for decision-making.
Evaluating the teaching quality of traditional decorative patterns in colleges and universities is critical, especially when human judgment and subjective opinions are involved. This paper aims to analyze this assessm...
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Evaluating the teaching quality of traditional decorative patterns in colleges and universities is critical, especially when human judgment and subjective opinions are involved. This paper aims to analyze this assessment process using an enhanced framework of circular intuitionistic fuzzy sets (C-IFS) and the Dombi triangular norm. The aim of this research is to apply the Dombi t-norm (DTN) and t-conorm (DTCN) for aggregating the information within the circular intuitionistic fuzzy (C-IF) framework to evaluate the teaching quality of traditional decorative patterns. Another important feature of the proposed study is that prioritization is used in decision-making preferences by using a priority-based weight vector. To serve this purpose, we mainly proposed the Circular Intuitionistic Fuzzy Dombi Prioritized weighted averaging (C-IFDPWA) and Circular Intuitionistic Fuzzy Dombi Prioritized geometric (C-IFDPWG) operators. Moreover, the special cases of proposed aggregation operators (AOs) and their validity are discussed. An intelligent algorithm is provided involving prioritization of attributes and experts based on proposed AOs to evaluate the multi-criteria group decision-making (MCGDM) problem, particularly in assessing teaching quality. A numerical example is included to demonstrate the effectiveness and flexibility of the proposed work, and to validate its application, a comparison analysis has been conducted. The superiority of this model lies in the fact that general structure, less time complexity, and prioritization of factors make it real. The suggested framework prioritizes decision criteria and manages ambiguity well, making it a reliable tool for assessing the quality of instruction. A case study demonstrates its practical relevance and highlights the advantages of applying fuzzy logic to assess the teaching quality of traditional decorative patterns in colleges and universities.
A given pair of convex polygons alpha and beta is said to be reversible if alpha has a dissection into a finite number of pieces which can be rearranged to form beta under some conditions. In this paper, we give an al...
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A given pair of convex polygons alpha and beta is said to be reversible if alpha has a dissection into a finite number of pieces which can be rearranged to form beta under some conditions. In this paper, we give an algorithm to decide whether or not a given pair of polygons alpha and beta is reversible. Furthermore, a method of how to dissect alpha to make beta, when they are reversible, is also given. (C) 2014 Elsevier B.V. All rights reserved.
Central venous catheters (CVCs) have many benefits in patient care but are associated with increasing risks with catheter duration. A level II trauma-certified community hospital sought to decrease CVC duration utiliz...
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Central venous catheters (CVCs) have many benefits in patient care but are associated with increasing risks with catheter duration. A level II trauma-certified community hospital sought to decrease CVC duration utilizing a daily assessment algorithm in the critical care unit. After implementation, CVC days decreased from 490 CVC days per 1,000 patient days to 452 (odds ratio 0.86, P < .01) and catheter duration decreased from 7.71 days to 6.57 (P = .19). (c) 2024 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
We study the existential theory of equicharacteristic henselian valued fields with a distinguished uniformizer. In particular, assuming a weak consequence of resolution of singularities, we obtain an axiomatization of...
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We study the existential theory of equicharacteristic henselian valued fields with a distinguished uniformizer. In particular, assuming a weak consequence of resolution of singularities, we obtain an axiomatization of - and therefore an algorithm to decide - the existential theory relative to the existential theory of the residue field. This is both more general and works under weaker resolution hypotheses than the algorithm of Denef and Schoutens, which we also discuss in detail. In fact, the consequence of resolution of singularities our results are conditional on is the weakest under which they hold true.
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