scholarly journals Could clustering of comorbidities be useful for better defining the internal medicine patients’ complexity?

2018 ◽  
Vol 12 (2) ◽  
pp. 137 ◽  
Author(s):  
Flavio Tangianu ◽  
Paola Gnerre ◽  
Fabrizio Colombo ◽  
Roberto Frediani ◽  
Giuliano Pinna ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Decision Making ◽  
Cluster Analysis ◽  
Adverse Events ◽  
Decision Making Process ◽  
High Similarity ◽  
High Prevalence ◽  
Clinical Problems ◽  
Index Disease ◽  
Improve Health

Internal medicine patients are mostly elderly with multiple comorbidities, usually chronic. The high prevalence of comorbidity and multimorbidity has a significant impact on both positive responses to treatment and the occurrence of adverse events. Clustering is the process of nosography grouping into meaningful associations with some index disease, so that the objects within a cluster have high similarity in comparison with one another. In the decision-making process it is imperative that, in addition to understanding the immediate clinical problems, we are able to explicit all the contextual factors that have to be taken into account for the best outcome of care. Cluster analysis could be leveraged in developing better interventions targeted to improve health outcomes in subgroups of patients.

A Product Feature Prioritization-Based Segmentation Model of Consumer Market for Health Drinks

2019 ◽  
Vol 10 (2) ◽  
pp. 70-83
Author(s):  
Chandan Parsad ◽  
Chandra Prakash Chandra ◽  
Shekhar Suman
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Country Of Origin ◽  
The Internet ◽  
Decision Making Process ◽  
Relative Importance ◽  
Consumer Decision Making ◽  
Consumer Market ◽  
Consumer Decision

This study sets out to identify the various factors of a health drink product that affects the consumer decision-making process. It aims to determine the relative importance connected to multiple aspects of health drink beverages, such as brand, nutrition content, taste, muscle building, brain boosting, price, ingredients, and country of origin. The paper also aims to identify consumer segments by the relative importance consumers give to various attributes of health drinks. Through examining the literature, the researchers identified various attributes of health drinks, which they analyzed empirically using a choice-based conjoint survey conducted with the help of the internet-based software 1000minds. Cluster analysis was also done to identify different consumer segments. The study identified two consumer segments: brand conscious and value conscious. As the name indicates, the brand-conscious segment gives more importance to a trusted brand, followed by nutrition content and price.

scholarly journals Applying cluster analysis to ranking the vulnerabilities of railway influence territory

2019 ◽  
Vol 265 ◽  
pp. 02018
Author(s):  
Viktor Katin ◽  
Vladimir Kosygin ◽  
Midkhat Akhtiamov ◽  
Andrey Lutsenko
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Single Point ◽  
Rail Transport ◽  
Accurate Information ◽  
Decision Making Process ◽  
Cultural Significance ◽  
Ecological Economic ◽  
Vulnerability Ranking

The article considers the proprietary method of ranking the territory of the railway influence, based on the use of vulnerability matrices and application of cluster analysis, which allows optimizing the decision-making process for responding to emergencies associated with rail transport. The "point" ranking of vulnerabilities in the zone of railway influence was used for more accurate information on the events with applying the identity matrices of vulnerabilities. The partition cell is taken as a single "point". The method is based on the ranking of ecological, economic, environmental, bioresource and cultural significance of the territory by means of defining identical matrices of vulnerabilities that describe each point of the event. The partition cells were grouped into three clusters: moderately vulnerable territory, highly vulnerable territory and extremely vulnerable territory. The result of using the method was the compiling of vulnerability ranking maps.

scholarly journals Vaccine hesitancy: evidence from an adverse events following immunization database, and the role of cognitive biases

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hossein Azarpanah ◽  
Mohsen Farhadloo ◽  
Rustam Vahidov ◽  
Louise Pilote
Keyword(s):  
Decision Making ◽  
Adverse Events ◽  
Cognitive Biases ◽  
Vaccine Safety ◽  
Vaccine Hesitancy ◽  
Decision Making Process ◽  
Evidence Based ◽  
Vaccine Acceptance ◽  
Vaccination Decision ◽  
Vaccine Information

Abstract Background Vaccine hesitancy has been a growing challenge for public health in recent decades. Among factors contributing to vaccine hesitancy, concerns regarding vaccine safety and Adverse Events (AEs) play the leading role. Moreover, cognitive biases are critical in connecting such concerns to vaccine hesitancy behaviors, but their role has not been comprehensively studied. In this study, our first objective is to address concerns regarding vaccine AEs to increase vaccine acceptance. Our second objective is to identify the potential cognitive biases connecting vaccine hesitancy concerns to vaccine-hesitant behaviors and identify the mechanism they get triggered in the vaccine decision-making process. Methods First, to mitigate concerns regarding AEs, we quantitatively analyzed the U.S. Vaccine Adverse Event Reporting System (VAERS) from 2011 to 2018 and provided evidence regarding the non-severity of the AEs that can be used as a communicable summary to increase vaccine acceptance. Second, we focused on the vaccination decision-making process. We reviewed cognitive biases and vaccine hesitancy literature to identify the most potential cognitive biases that affect vaccine hesitancy and categorized them adopting the Precaution Adoption Process Model (PAPM). Results Our results show that the top frequent AEs are expected mild reactions like injection site erythema (4.29%), pyrexia (3.66%), and injection site swelling (3.21%). 94.5% of the reports are not serious and the average population-based serious reporting rate over the 8 years was 25.3 reports per 1 million population. We also identified 15 potential cognitive biases that might affect people’s vaccination decision-making and nudge them toward vaccine hesitancy. We categorized these biases based on the factors that trigger them and discussed how they contribute to vaccine hesitancy. Conclusions This paper provided an evidence-based communicable summary of VAERS. As the most trusted sources of vaccine information, health practitioners can use this summary to provide evidence-based vaccine information to vaccine decision-makers (patients/parents) and mitigate concerns over vaccine safety and AEs. In addition, we identified 15 potential cognitive biases that might affect the vaccination decision-making process and nudge people toward vaccine hesitancy. Any plan, intervention, and message to increase vaccination uptake should be modified to decrease the effect of these potential cognitive biases.

scholarly journals Implementation of the Simple Multi Attribute Rating Technique Method (SMART) in Determining Toddler Growth

2020 ◽  
Vol 5 (2) ◽  
pp. 169
Author(s):  
Agung Wahana ◽  
Cecep Nurul Alam ◽  
Siti Nur Rohmah
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Growth And Development ◽  
Decision Making Process ◽  
Infants And Toddlers ◽  
Community Nutrition ◽  
Reduce Child Mortality ◽  
Anthropometric Index ◽  
Improvement Programs ◽  
Improve Health

Toddler nutritional status is an important factor in efforts to reduce child mortality. The development of community nutrition can be monitored through the results of recording and reporting of community nutrition improvement programs reflected in the results of weighing infants and toddlers every month at the Pos Pelayanan Terpadu (Posyandu/ Integrated Service Post) , where these efforts aim to maintain and improve health and prevent and cope with the emergence of public health problems, especially aimed at toddlers. However, in carrying out the health service activities of Medical Officers, faced with an important problem that is still difficult in providing information related to the results of monitoring the growth and development of infants, because information on growth and development of infants owned is obtained from the data collection done manually such as; make records and calculations to find out the condition of a toddler declared good, less, or bad. Implementation of the SMART method in Toddler's growth and development, this method can be used based on the weights and criteria that have been determined. The criteria used are based on the Anthropometric index assessment criteria. The results of the analysis are the results of ranking the greatest value to be used as the material in the decision-making process.

scholarly journals Analysis of natural-production conditions for timber harvesting in European North of Russia

2019 ◽  
Vol 65 (2) ◽  
pp. 81-91
Author(s):  
Ilya Shegelman ◽  
Pavel Budnik ◽  
Vyacheslav Baklagin ◽  
Oleg Galaktionov ◽  
Ivan Khyunninen ◽  
...  
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Forest Management ◽  
Timber Harvesting ◽  
Decision Making Process ◽  
Small Enterprises ◽  
Natural Production ◽  
European North ◽  
Different Levels ◽  
Production Conditions

Abstract Natural-production conditions determine operational efficiency of logging machines. This influence needs to be taken into account at different levels of forest management. It is necessary to allocate areas with similar natural-production conditions for effective forest management. It allows simplifying the decision making process for selecting logging technology and machines. The purpose of this study was to establish areas with similar natural and production conditions in the European North of Russia (ENR). In addition, for small enterprises, we recommend logging technologies and logging machines that can be used in established areas. We determined the indicators of the natural-production conditions of ENR regions and compared them. Cluster analysis was used to compare the indicators. We found that ENR can be divided into three main zones A, B, C and two subzones B1 and B2 with similar natural-production conditions. In the zones A, B and the subzones B1 and B2, small logging enterprises should use a harvester and a forwarder. In the zone C, the enterprises can use a logging system including a harvester and a forwarder or a logging system including a feller buncher, a skidder and a processor. The logging system should be based on the light class of logging machines for the zone A, the medium class or the heavy class for the zones B, C and the subzones B1, B2, the heavy class of machines for the zone C.

DECISION MAKING PROCESS

Neurosurgery ◽  
2007 ◽  
Vol 60 (suppl_1) ◽  
pp. S1-166-S1-169 ◽  
Author(s):  
Daniel Shedid ◽  
Edward C. Benzel
Keyword(s):  
Decision Making ◽  
Cervical Spondylosis ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Decision Making Process ◽  
Complex Problems ◽  
Clinical Problems ◽  
Great Complexity

Abstract CLINICAL PROBLEMS ARE often complex. Problems of great complexity are usually associated with a commensurately greater degree of difficulty with respect to the decision making process. This is most certainly true regarding the management of cervical spondylosis. Usually, clinicians make clinically appropriate decisions. However, more often than realized, suboptimal decisions may be made. Therefore, an assessment of the types of errors regarding clinical decision making are worthy of consideration. In this article, a scheme for decision making regarding the management of cervical spondylosis is presented.

scholarly journals Doing more does not mean doing better: the FADOI contribution to the Slow Medicine program for a sustainable and wise healthcare system

2015 ◽  
Vol 9 (3) ◽  
pp. 281 ◽  
Author(s):  
Luigi Lusiani ◽  
Roberto Frediani ◽  
Roberto Nardi ◽  
Andrea Fontanella ◽  
Mauro Campanini
Keyword(s):  
Internal Medicine ◽  
Decision Making ◽  
Health Professionals ◽  
Choosing Wisely ◽  
Decision Making Process ◽  
Evidence Based ◽  
Shared Decision ◽  
Slow Medicine ◽  
The Usa ◽  
Hospital Doctors

Consistently with its own vision on the necessity to implement a sustainable and frugal medicine, in 2013 the Italian Federation of Associations of Hospital Doctors in Internal Medicine (FADOI) decided to adhere to the Slow Medicine program entitled <em>Doing more does not mean doing better</em>, launched in Italy in late 2012, following the Choosing Wisely® campaign of the American Board of Internal Medicine (ABIM) Foundation started in the USA in 2010. According to the program, FADOI has now produced a list of ten evidence-based recommendations of the <em>do not</em> type, regarding different practices whose benefits for the patients are questionable at least, if not harmful at worst. The list was obtained from a questionnaire submitted to 1175 FADOI members, containing a purposely selected choice of 32 pertinent recommendations already published by Choosing Wisely®, and reflects the qualified opinion of a large number of Italian internists. These recommendations are now endorsed by the FADOI, as a contribution to the discussion among doctors, health professionals, nurses, patients and citizens about what is worth choosing in medicine; they are also meant to promote a shared decision making process in the clinical practice.

scholarly journals Clustering analysis and decision-making by “rank of links”

2002 ◽  
Vol 8 (4-5) ◽  
pp. 475-492 ◽  
Author(s):  
O. Verulava ◽  
R. Khurodze
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Clustering Analysis ◽  
Decision Making Process ◽  
Distance Matrices

In this paper, formalism for cluster analysis, based on the “Rank of Links”-theory, is suggested. It tackles resemble measures, cross-distance matrices, “rank of links”-metric and some other cluster characteristics. Using these notions, an algorithm of clustering has been designed. Its application to estimation and prognosis of decision-making process shows nice workability and reliability.

scholarly journals The Application Of K-Means Algorithm For LQ45 Index on Indonesia Stock Exchange

2016 ◽  
Vol 7 (2) ◽  
pp. 151
Author(s):  
A. Raharto Condrobimo ◽  
Albert V. Dian Sano ◽  
Hendro Nindito
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Stock Exchange ◽  
Decision Making Process ◽  
Exchange Cluster ◽  
Stock Investment ◽  
Speed Up

The objective of this study is to apply cluster analysis or also known as clustering on stocks data listed in LQ45 index at Indonesia Stock Exchange. The problem is that traders need a tool to speed up decision-making process in buying, selling and holding their stocks.The method used in this cluster analysis is k-means algorithm. The data used in this study were taken from Indonesia Stock Exchange. Cluster analysis in this study took data’s characteristics such as stocks volume and value. Results of cluster analysis were presented in the form of grouping of clusters’ members visually. Therefore, this cluster analysis in this study could be used to identify more quickly and efficiently about the members of each cluster of LQ45 index. The results of such identification can be used by beginner-level investors who have started interest in stock investment to help make decision on stocks trading.

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