scholarly journals Survey Assessment for Decision Support Using Self-Organizing Maps Profile Characterization with an Odds and Cluster Heat Map: Application to Children's Perception of Urban School Environments

Entropy ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. 916 ◽  
Author(s):  
Abarca-Alvarez ◽  
Campos-Sánchez ◽  
Mora-Esteban
Keyword(s):  
Decision Support ◽  
Graphical Representation ◽  
Statistical Significance ◽  
Survey Analysis ◽  
Chi Square ◽  
Self Organizing Maps ◽  
Heat Map ◽  
Additional Information ◽  
Survey Results ◽  
Self Organizing

The interpretation of opinion and satisfaction surveys based exclusively on statistical analysis often faces difficulties due to the nature of the information and the requirements of the available statistical methods. These difficulties include the concurrence of categorical information with answers based on Likert scales with only a few levels, or the distancing of the necessary heuristic approach of the decision support system (DSS). The artificial neural network used for data analysis, called Kohonen or self-organizing maps (SOM), although rarely used for survey analysis, has been applied in many fields, facilitating the graphical representation and the simple interpretation of high-dimensionality data. This clustering method, based on unsupervised learning, also allows obtaining profiles of respondents without the need to provide additional information for the creation of these clusters. In this work, we propose the identification of profiles using SOM for evaluating opinion surveys. Subsequently, non-parametric chi-square tests were first conducted to contrast whether answer was independent of each profile found, and in the case of statistical significance (p ≤ 0.05), the odds ratio was evaluated as an indicator of the effect size of such dependence. Finally, all results were displayed in an odds and cluster heat map so that they could be easily interpreted and used to make decisions regarding the survey results. The methodology was applied to the analysis of a survey based on forms administered to children (N = 459) about their perception of the urban environment close to their school, obtaining relevant results, facilitating results interpretation, and providing support to the decision-process.

scholarly journals Predictor Model of Root Caries in Older Adults: Reporting of Evidence to the Translational Evidence Mechanism

2010 ◽  
Vol 4 (1) ◽  
pp. 124-132
Author(s):  
Bauer JG ◽  
Spackman S ◽  
Dong J ◽  
Garrett N
Keyword(s):  
Older Adults ◽  
Statistical Significance ◽  
Root Surface ◽  
Risk Level ◽  
Root Caries ◽  
Survey Analysis ◽  
Unpublished Manuscript ◽  
Chi Square ◽  
Chi Square Test ◽  
Predictor Model

Compared to younger adults, older adults are at greater risk for root caries. A model of root caries may assist dentists in predicting disease outcomes. OBJECTIVES: Using the Iowa 65+ Oral Health Survey, analysis was done to model the patterns of the root caries development in older adults.Methods:The statistical analysis included Markov chain modeling, model estimation and validation.Results:The model effectively predicts root caries using an 18-month predictive cycle and is validated up to 36 months (two cycles), with no significant differences (Chi-square test p-values >0.1) between predicted and observed distributions. However, we do not have observed data for validation beyond 36 months since the model was designed to perform only at single or multiple 18-month cycles. As expected, the predicted distribution at 54-month (3 cycles) and the observed distribution at 60-month differed significantly (p<0.0001).Conclusions:The model demonstrated a high probability that a sound surface will remain caries free. However, one and multiple-surface lesions aggressively infect adjoining surfaces. Maturing of the carious lesion occurs with the 4-surface lesion, decreasing the probability of tooth loss. Thus, maintaining a sound root surface and early treatment intervention reduces the risk of tooth dysfunction (morphological destruction) and loss.DATABASE FILTERS:P:Tooth/Subject characteristics-Older adults, 65 years of age or more, male and female participants, regional rural Iowa residents, race unspecified, functional status-non-institutionalized level unspecified, risk level unspecifiedI:Root cariesP(C-not applicable): Probability/Statistical significance for decision data only/Clinical significance-dataset over 20 years old/Utility data not included/Cost data not included/Meaning in practice undetermined.O:Each year through a three year cycle, caries progression from a sound root surfaceA:Data attached:■ Published manuscript□ Unpublished manuscript□ Raw dataR:Primary author contact information present

Measuring and Modeling Real-Time Responses to Music: The Dynamics of Tonality Induction

Perception ◽  
10.1068/p3312 ◽  
2003 ◽  
Vol 32 (6) ◽  
pp. 741-766 ◽  
Author(s):  
Petri Toiviainen ◽  
Carol L Krumhansl
Keyword(s):  
Real Time ◽  
Dynamic Models ◽  
Primary Data ◽  
Self Organizing Map ◽  
Self Organizing Maps ◽  
Probe Tone ◽  
Additional Information ◽  
Chromatic Scale ◽  
Dynamic Components ◽  
Self Organizing

We examined a variety of real-time responses evoked by a single piece of music, the organ Duetto BWV 805 by J S Bach. The primary data came from a concurrent probe-tone method in which the probe-tone is sounded continuously with the music. Listeners judged how well the probe tone fit with the music at each point in time. The process was repeated for all probe tones of the chromatic scale. A self-organizing map (SOM) [Kohonen 1997 Self-organizing Maps (Berlin: Springer)] was used to represent the developing and changing sense of key reflected in these judgments. The SOM was trained on the probe-tone profiles for 24 major and minor keys (Krumhansl and Kessler 1982 Psychological Review89 334–368). Projecting the concurrent probe-tone data onto the map showed changes both in the perceived keys and in their strengths. Two dynamic models of tonality induction were tested. Model 1 is based on pitch class distributions. Model 2 is based on the tone-transition distributions; it tested the idea that the order of tones might provide additional information about tonality. Both models contained dynamic components for characterizing pitch strength and creating pitch memory representations. Both models produced results closely matching those of the concurrent probe-tone data. Finally realtime judgments of tension were measured. Tension correlated with distance away from the predominant key in the direction of keys built on the dominant and supertonic tones, and also correlated with dissonance.

Music Mood Visualization Using Self-Organizing Maps

2015 ◽  
Vol 40 (4) ◽  
pp. 513-525 ◽  
Author(s):  
Magdalena Plewa ◽  
Bożena Kostek
Keyword(s):  
Multidimensional Scaling ◽  
Graphical Representation ◽  
The Internet ◽  
Two Dimensional ◽  
Digital Form ◽  
Self Organizing Maps ◽  
Self Organizing

Abstract Due to an increasing amount of music being made available in digital form in the Internet, an automatic organization of music is sought. The paper presents an approach to graphical representation of mood of songs based on Self-Organizing Maps. Parameters describing mood of music are proposed and calculated and then analyzed employing correlation with mood dimensions based on the Multidimensional Scaling. A map is created in which music excerpts with similar mood are organized next to each other on the two-dimensional display.

Use of SAMe-TT₂R₂ Score to Predict the Quality of Anticoagulation Control in Patients with Atrial Fibrillation Receiving Warfarin in Thailand

2020 ◽  
Vol 103 (6) ◽  
pp. 548-552
Keyword(s):  
Atrial Fibrillation ◽  
Therapeutic Range ◽  
Statistical Significance ◽  
Discrimination Performance ◽  
Poor Quality ◽  
Chi Square ◽  
Exact Test ◽  
Time In Therapeutic Range ◽  
Anticoagulation Control

Objective: To predict the quality of anticoagulation control in patients with atrial fibrillation (AF) receiving warfarin in Thailand. Materials and Methods: The present study retrospectively recruited Thai AF patients receiving warfarin for three months or longer between June 2012 and December 2017 in Central Chest Institute of Thailand. The patients were classified into those with SAMe-TT₂R₂ of 2 or less, and 3 or more. The Chi-square test or Fisher’s exact test was used to compare the proportion of the patients with poor time in therapeutic range (TTR) between the two groups of SAMe-TT₂R₂ score. The discrimination performance of SAMe-TT₂R₂ score was demonstrated with c-statistics. Results: Ninety AF patients were enrolled. An average age was 69.89±10.04 years. Most patients were persistent AF. An average CHA₂DS₂-VASc, SAMe-TT₂R₂, and HAS-BLED score were 3.68±1.51, 3.26±0.88, and 1.98±0.85, respectively. The present study showed the increased proportion of AF patients with poor TTR with higher SAMe-TT₂R₂ score. The AF patients with SAMe-TT₂R₂ score of 3 or more had a larger proportion of patients with poor TTR than those with SAMe-TT₂R₂ score of 2 or less with statistical significance when TTR was below 70% (p=0.03) and 65% (p=0.04), respectively. The discrimination performance of SAMe-TT₂R₂ score was demonstrated with c-statistics of 0.60, 0.59, and 0.55 when TTR was below 70%, 65% and 60%, respectively. Conclusion: Thai AF patients receiving warfarin had a larger proportion of patients with poor TTR when the SAMe-TT₂R₂ score was higher. The score of 3 or more could predict poor quality of anticoagulation control in those patients. Keywords: Time in therapeutic range, Poor quality of anticoagulation control, Warfarin, SAMe-TT₂R₂, Labile INR

A Psychographic Segmentation of Kuwaiti Travelers Using Self-Organizing Maps

2019 ◽  
Vol 24 (1) ◽  
pp. 87-92 ◽  
Author(s):  
Yvette Reisinger ◽  
Mohamed M. Mostafa ◽  
John P. Hayes
Keyword(s):  
Self Organizing Maps ◽  
Self Organizing

Self Organizing Maps, Pattern Recognition and Financial Crises

2011 ◽  
Author(s):  
Sylvain Barthelemy ◽  
Pascal Devaux ◽  
Francois Faure ◽  
Matthieu Pautonnier
Keyword(s):  
Pattern Recognition ◽  
Financial Crises ◽  
Self Organizing Maps ◽  
Self Organizing
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