scholarly journals Distribution of Time Interval between the Modifications of Result Sets Cardinalities in Random Databases

2013 ◽  
Vol 21 (3) ◽  
pp. 295-306
Author(s):  
Letitia Velcescu
Keyword(s):  
Decision Making ◽  
Probability Distribution ◽  
Point Of View ◽  
Time Interval ◽  
Database Optimization ◽  
Modeling Uncertainty ◽  
Software Programs ◽  
Random Database ◽  
Decision Making Support

AbstractIn this paper, we propose a method to estimate the probability distribution of the time interval which ellapses between the modifications of the cardinality in a random database query’s result set. This type of database is important either in modeling uncertainty or storing data whose values follow a probability distribution. The result that we introduce is important from the point of view of the database optimization, providing a useful method for an integrated module. In previous research on random databases the sizes of some relational operations results were investigated. This kind of information is rather useful in an analytical database which provides decision-making support. The result we particularly aim to present in this paper concerns the transactional random databases, addressing its specific functionality. It will be proven that the interval of time between the cardinalities changes is exponentially distributed. The proof is based on the technique of the Markovian Jelinski-Moranda model, which is used in the reliability of software programs.

scholarly journals Multicriteria analysis for choosing wastewater sewerage solutions

2002 ◽  
Vol 4 (3) ◽  
pp. 137-144 ◽  
Author(s):  
Jérôme Le Gouévec ◽  
Olivier Blanpain
Keyword(s):  
Decision Making ◽  
Expert Systems ◽  
Critical Point ◽  
Multicriteria Analysis ◽  
Point Of View ◽  
Design Phase ◽  
Reasoning Process ◽  
General Management ◽  
New Formulation ◽  
Decision Making Support

Today, more and more French communities have a critical point of view concerning the performance of their wastewater sewerage systems. The main reason is linked to the methodology of the studies in the design phase. The process is neither adapted to the complexity of the decision-making task, nor to a general management of the wastewater sewerage in a territory. In order to make these studies more coherent and the choices more rational, we propose a new formulation of the methodology as an alternative to the current one. Our approach relies on decision-making support which borrows concepts from expert systems and multicriteria analysis in order to structure the reasoning process and to take into account the very different criteria a real decision-making task often implies. We show that this support has to be interactive and iterative in order to ensure that coherent and relevant solutions are chosen.

Medical Diagnosis from a Clinician’s Point of View

1978 ◽  
Vol 17 (01) ◽  
pp. 28-35
Author(s):  
F. T. De Dombal
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Computer Science ◽  
Medical Diagnosis ◽  
Information Science ◽  
Point Of View ◽  
Joint Research ◽  
The World

This paper discusses medical diagnosis from the clinicians point of view. The aim of the paper is to identify areas where computer science and information science may be of help to the practising clinician. Collection of data, analysis, and decision-making are discussed in turn. Finally, some specific recommendations are made for further joint research on the basis of experience around the world to date.

scholarly journals Renovation Management Method in Neglected Buildings

2021 ◽  
Vol 13 (2) ◽  
pp. 929
Author(s):  
Beata Nowogońska ◽  
Magdalena Mielczarek
Keyword(s):  
Decision Making ◽  
Technical Condition ◽  
Irreversible Processes ◽  
Management Method ◽  
The Stability ◽  
Motivating Factor ◽  
Decision Making Support

Renovation works to buildings are often not carried out or there are shifts in time, which causes degradation of the building. The article presents an analysis of the consequences of abandoning renovation works. The aim of this article is to present a method of preliminarily planning renovations of a MRUB (Managing Renovation in Un-renovated Buildings). This method of decision-making support is based on the consequences in the case of the omission of renovations. The omission of renovations may lead to a threat to the stability of the building’s structure, threaten the lives of its users, and further damage the building by damaging further elements, or even cause a building disaster. Often, as a result of the abandonment of renovation, usually caused by the lack of the owner, improper manager, or irresponsible owners, these objects are degraded. The consequences of the failure of renovating buildings lead to irreversible processes of destruction. As a result of the research, it was found that it was not only a bad technical condition that was a prerequisite for carrying out the renovation. The consequences of the absence of renovation works, in addition to the technical condition, should be a motivating factor. The problem of the abandonment of renovations is presented using the example of the palace in Drwalewice.

Intelligent Technologies in Decision-Making Support Systems

2020 ◽  
Author(s):  
F. F. Pashchenko ◽  
Bui Truong An ◽  
Tran Duc Hieu ◽  
A. F. Pashchenko ◽  
Nguyen Van Trong
Keyword(s):  
Decision Making ◽  
Support Systems ◽  
Decision Making Support

scholarly journals Results of the Behavioral Health Readiness Evaluation and Decision-Making Instrument Study

2021 ◽  
Vol 186 (Supplement_1) ◽  
pp. 142-152
Author(s):  
Justin M Curley ◽  
Katie L Nugent ◽  
Kristina M Clarke-Walper ◽  
Elizabeth A Penix ◽  
James B Macdonald ◽  
...  
Keyword(s):  
Decision Making ◽  
Behavioral Health ◽  
User Satisfaction ◽  
Safety Issue ◽  
Walter Reed Army Institute ◽  
End User ◽  
Chi Square ◽  
Proficiency Level ◽  
Wide Range ◽  
Decision Making Support

ABSTRACT Introduction Recent reports have demonstrated behavioral health (BH) system and individual provider challenges to BH readiness success. These pose a risk to winning on the battlefield and present a significant safety issue for the Army. One of the most promising areas for achieving better BH readiness results lies in improving readiness decision-making support for BH providers. The Walter Reed Army Institute of Research (WRAIR) has taken the lead in addressing this challenge by developing and empirically testing such tools. The results of the Behavioral Health Readiness Evaluation and Decision-Making Instrument (B-REDI) field study are herein described. Methods The B-REDI study received WRAIR Institutional Review Board approval, and BH providers across five U.S. Army Forces Command installations completed surveys from September 2018 to March 2019. The B-REDI tools/training were disseminated to 307 providers through random clinic assignments. Of these, 250 (81%) providers consented to participate and 149 (60%) completed both initial and 3-month follow-up surveys. Survey items included a wide range of satisfaction, utilization, and proficiency-level outcome measures. Analyses included examinations of descriptive statistics, McNemar’s tests pre-/post-B-REDI exposure, Z-tests with subgroup populations, and chi-square tests with demographic comparisons. Results The B-REDI resulted in broad, statistically significant improvements across the measured range of provider proficiency-level outcomes. Net gains in each domain ranged from 16.5% to 22.9% for knowledge/awareness (P = .000), from 11.1% to 15.8% for personal confidence (P = .001-.000), and from 6.2% to 15.1% for decision-making/documentation (P = .035-.002) 3 months following B-REDI initiation, and only one (knowledge) failed to maintain a statistically significant improvement in all of its subcategories. The B-REDI also received high favorability ratings (79%-97% positive) across a wide array of end-user satisfaction measures. Conclusions The B-REDI directly addresses several critical Army BH readiness challenges by providing tangible decision-making support solutions for BH providers. Providers reported high degrees of end-user B-REDI satisfaction and significant improvements in all measured provider proficiency-level domains. By effectively addressing the readiness decision-making challenges Army BH providers encounter, B-REDI provides the Army BH health care system with a successful blueprint to set the conditions necessary for providers to make more accurate and timely readiness determinations. This may ultimately reduce safety and mission failure risks enterprise-wide, and policymakers should consider formalizing and integrating the B-REDI model into current Army BH practice.

scholarly journals Implementation of a referral and expert advice call Center for Maternal and Newborn Care in the resource constrained health system context of the Greater Accra region of Ghana

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ebenezer Oduro-Mensah ◽  
Irene Akua Agyepong ◽  
Edith Frimpong ◽  
Marjolein Zweekhorst ◽  
Linda Amarkai Vanotoo
Keyword(s):  
Decision Making ◽  
Call Center ◽  
Clinical Decision Making ◽  
Newborn Care ◽  
Clinical Decision ◽  
Series Data ◽  
Maternal And Newborn Care ◽  
Greater Accra Region ◽  
Maternal And Newborn ◽  
Decision Making Support

Abstract Background Referral and clinical decision-making support are important for reducing delays in reaching and receiving appropriate and quality care. This paper presents analysis of the use of a pilot referral and decision making support call center for mothers and newborns in the Greater Accra region of Ghana, and challenges encountered in implementing such an intervention. Methods We analyzed longitudinal time series data from routine records of the call center over the first 33 months of its operation in Excel. Results During the first seventeen months of operation, the Information Communication Technology (ICT) platform was provided by the private telecommunication network MTN. The focus of the referral system was on maternal and newborn care. In this first phase, a total of 372 calls were handled by the center. 93% of the calls were requests for referral assistance (87% obstetric and 6% neonatal). The most frequent clinical reasons for maternal referral were prolonged labor (25%), hypertensive diseases in pregnancy (17%) and post-partum hemorrhage (7%). Birth asphyxia (58%) was the most common reason for neonatal referral. Inadequate bed space in referral facilities resulted in only 81% of referrals securing beds. The national ambulance service was able to handle only 61% of the requests for assistance with transportation because of its resource challenges. Resources could only be mobilized for the recurrent cost of running the center for 12 h (8.00 pm – 8.00 am) daily. During the second phase of the intervention we switched the use of the ICT platform to a free government platform operated by the National Security. In the next sixteen-month period when the focus was expanded to include all clinical cases, 390 calls were received with 51% being for medical emergency referrals and 30% for obstetrics and gynaecology emergencies. Request for bed space was honoured in 69% of cases. Conclusions The call center is a potentially useful and viable M-Health intervention to support referral and clinical decision making in the LMIC context of this study. However, health systems challenges such inadequacy of human resources, unavailability of referral beds, poor health infrastructure, lack of recurrent financing and emergency transportation need to be addressed for optimal functioning.

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