A Fuzzy‐Based Decision Support Model for Selecting the Best Dialyser Flux in Haemodialysis

Öztürk, Necla; Tozan, Hakan

doi:10.1260/2040-2295.6.3.303

Cited by 7 publications

(4 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…MCDA, as an important branch of operations research, aims to design mathematical and computational tools for selecting the best alternative among several choices by evaluating specific criteria. It has been widely applied in management, engineering, and environmental sciences [17][18][19][20][21][22][23][24][25][26][27].…”

Section: Mcda and Methods Used In Healthcarementioning

confidence: 99%

A New Decision Model Approach for Health Technology Assessment and a Case Study for Dialysis Alternatives in Turkey

Öztürk

Tozan

Vayvay

2020

IJERPH

Self Cite

View full text Add to dashboard Cite

Background: This paper presents a generic Multi-Criteria Decision Analysis (MCDA) model for Health Technology Assessment (HTA) decision-making, which can be applied to a wide range of HTA studies, regardless of the healthcare technology type under consideration. Methods: The HTA Core Model® of EUnetHTA was chosen as a basis for the development of the MCDA model because of its common acceptance among European Union countries. Validation of MCDA4HTA was carried out by an application with the HTA study group of the Turkish Ministry of Health. The commitment of the decision-making group is completed via an online application of 10 different questionnaires. The Analytic Hierarchy Process (AHP) is used to determine the weights. Scores of the criteria in MCDA4HTA are gathered directly from the HTA report. The performance matrix in this application is run with fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and goal programming MCDA techniques. Results: Results for fuzzy VIKOR, fuzzy TOPSIS, and goal programming are 0.018, 0.309, and 0.191 for peritoneal dialysis and 0.978, 0.677, and 0.327 for hemodialysis, respectively. Conclusions: Peritoneal dialysis is found to be the best choice under the given circumstances, despite its higher costs to society. As an integrated decision-making model for HTA, MCDA4HTA supports both evidence-based decision policy and the transparent commitment of multi-disciplinary stakeholders.

show abstract

Section: Mcda and Methods Used In Healthcarementioning

confidence: 99%

A New Decision Model Approach for Health Technology Assessment and a Case Study for Dialysis Alternatives in Turkey

Öztürk

Tozan

Vayvay

2020

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“…Using the fuzzy technique for order preference by similarity to ideal situation (FTOPSIS), the most suitable maintenance strategy was chosen for medical devices depending on the previously determined criticality. Öztürk and Tozan [42] applied AHP, analytic network process (ANP), FAHP, and fuzzy analytic network process (FANP) to choose the most suitable dialyzer flux. Researchers in [43] calculated a risk priority index for each medical device through the use of fuzzy failure mode and effect analysis.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Decision Making in the Supply of Medicinal Gases Used in Health Care

Carnero

Gómez

2019

Sustainability

View full text Add to dashboard Cite

Systems that supply medicinal gases—oxygen, nitrous oxide and medical air—serve all care units of a hospital; for example, they feed distribution systems for operating theatres, neonatal and pediatric units, dialysis, X-ray, casualty, special tests, outpatients, etc. Systems for the provision of medicinal gases are therefore critical in guaranteeing hospital sustainability, since the functionality or availability of other hospital systems depends on them. Availability of 100% in these systems would avoid the need to reschedule patient appointments. It would also eliminate repeat testing, which poses risk to staff and patients, and could avoid affecting people’s lives through unavailability of, for example, operating theatres or intensive care units. All this contributes to a more rational resource consumption and an increase in quality of care both for the hospital itself and for patients and visitors. Although these systems are of vital importance to health care organizations, no previous work has been found in the literature that optimizes the technical decisions on supply in these systems. This research describes a model for these systems via continuous-time Markov chains. The results obtained are used in a multicriteria model constructed with the measuring attractiveness by a categorical-based evaluation technique (MACBETH) approach. In order to assess reliability when incorporating doubt or uncertainty via the MACBETH approach, the model has been validated by means of the fuzzy analytic hierarchy process. The aim is to obtain the best objective decision, with respect to the design of these systems, by analyzing the use of economic resources, the risks, and the impact on hospital activity, all with the aim of guaranteeing the best quality of care. The models constructed by means of MACBETH and the fuzzy analytic hierarchy process give, as the most suitable alternatives, duplicate the external supply in medical oxygen systems and maintain the original design conditions for supply systems of nitrous oxide and medicinal air.

show abstract

“…Modelling with dynamism for adaptive system requires several requisites such as a powerful sensor environment, good system performance to maintain the information validity and coherence and heterogeneous information (Castillejo et al , 2014). Moreover, fuzzy techniques have been used for detecting abnormal behavior (Feizi et al , 2015), predicting the risk of developing breast cancer (Khezri et al , 2014) and using decision-making to select the best flux model for patients with chronic kidney failure (Öztürk and Toza, 2005). A context-aware system based on fuzzy linguistic model has been developed to deliver reminders at an appropriate time and in an appropriate way for elders (Zhou et al , 2012).…”

Section: Introductionmentioning

confidence: 99%

Personalized adaptive system for elderly care in smart home using fuzzy inference system

Kurnianingsih

Nugroho

Widyawan

et al. 2018

IJPCC

View full text Add to dashboard Cite

Purpose The decline of the motoric and cognitive functions of the elderly and the high risk of changes in their vital signs lead to some disabilities that inconvenience them. This paper aims to assist the elderly in their daily lives through personalized and seamless technologies. Design/methodology/approach The authors developed a personalized adaptive system for elderly care in a smart home using a fuzzy inference system (FIS), which consists of a predictive positioning system, reflexive alert system and adaptive conditioning system. Reflexive sensing is obtained from a body sensor and environmental sensor networks. Three methods comprising the FIS generation algorithm – fuzzy subtractive clustering (FSC), grid partitioning and fuzzy c-means clustering (FCM) – were compared to obtain the best prediction accuracy. Findings The results of the experiment showed that FSC produced the best F1-score (96 per cent positioning accuracy, 94 per cent reflexive alert accuracy, 96 per cent air conditioning accuracy and 95 per cent lighting conditioning accuracy), whereas others failed to predict some classes and had lower validation accuracy results. Therefore, it is concluded that FSC is the best FIS generation method for our proposed system. Social implications Personalized and seamless technologies for elderly implies life-share awareness, stakeholder awareness and community awareness. Originality/value This paper presents a model of personalized adaptive system based on their preferences and medical reference, which consists of a predictive positioning system, reflexive alert system and adaptive conditioning system.

show abstract

A Fuzzy‐Based Decision Support Model for Selecting the Best Dialyser Flux in Haemodialysis

Cited by 7 publications

References 39 publications

A New Decision Model Approach for Health Technology Assessment and a Case Study for Dialysis Alternatives in Turkey

A New Decision Model Approach for Health Technology Assessment and a Case Study for Dialysis Alternatives in Turkey

Optimization of Decision Making in the Supply of Medicinal Gases Used in Health Care

Personalized adaptive system for elderly care in smart home using fuzzy inference system

Contact Info

Product

Resources

About