The Evaluation of Ordinal Regression Model's Performance Through the Implementation of Multilayer Feed-Forward Neural Network: A Case Study of Hypertension.

Background Hypertension, or high blood pressure, is a common medical condition that affects a significant portion of the global population. It is a major risk factor for cardiovascular diseases (CVD), stroke, and kidney disorders. Objective The objective of this study is to create and validate a model that combines bootstrapping, ordered logistic regression, and multilayer feed-forward neural networks (MLFFNN) to identify and analyze the factors associated with hypertension patients who also have dyslipidemia. Material and methods A total of 33 participants were enrolled from the Hospital Universiti Sains Malaysia (USM) for this study. In this study, advanced computational statistical modeling techniques were utilized to examine the relationship between hypertension status and several potential predictors. The RStudio (Posit, Boston, MA) software and syntax were implemented to establish the relationship between hypertension status and the predictors. Results The statistical analysis showed that the developed methodology demonstrates good model fitting through the value of predicted mean square error (MSE), mean absolute deviance (MAD), and accuracy. To evaluate model fitting, the data in this study was divided into distinct training and testing datasets. The findings revealed that the results strongly support the superior predictive capability of the hybrid model technique. In this case, five variables are considered: marital status, smoking status, systolic blood pressure, fasting blood sugar levels, and high-density lipoprotein levels. It is important to note that all of them affect the hazard ratio: marital status (ß1, -17.12343343; p < 0.25), smoking status (ß2, 1.86069121; p < 0.25), systolic blood pressure (ß3, 0.05037332; p < 0.25), fasting blood sugar (ß4, -0.53880322; p < 0.25), and high-density lipoprotein (ß5, 5.38065556; p < 0.25). Conclusion This research aims to develop and extensively evaluate the hybrid approach. The statistical methods employed in this study using R language show that regression modeling surpasses R-squared values in predicting the mean square error. The study's conclusion provides strong evidence for the superiority of the hybrid model technique.

Dental aesthetic related popularity and peer pressure, a survey of adolescents in Pakistan.

OBJECTIVES: Most research has focused on determining how popularity and peer pressure impact behaviours, rather than identifying a key feature such as dental aesthetics and studying its impacts in relation to popularity and peer pressure. METHODS: A cross sectional study was conducted on a sample of 527 children from four schools located in Lahore, Pakistan. A 14-point questionnaire was developed, using existing measures of peer pressure, and popularity. The selected questions were modified to investigate the issues of dental aesthetics and integrated into the WHO oral health questionnaire for children. RESULTS: More than 50 % of the participants indicated popularity issues regarding dental aesthetics. 63.5 % of the responses indicated an influence of relatives and friends, whereas 38 % responses reported of harassment and bullying at schools. Regression analysis shows that the females were 1.99 times more likely to get comments from relative or friends about their teeth and 2.17 times more likely to be bullied or harassed at school due to their teeth when compared to the males. Fathers with a higher education brought about higher popularity and peer pressure issues. Mothers with a higher education were less likely to cause popularity and peer pressure issues than mothers with a lower education. Popularity and peer pressure were both significantly related to higher dental visitation. CONCLUSIONS: Popularity and peer pressure have a direct link to dental aesthetics in an individual and are impacted by gender, family relatives and parental influences. The area of popularity and peer pressure related to dental aesthetics can be targeted in health education programs to empower children to adopt better oral health behaviours.

Frequency of Different Dental Irregularities Associated With Cleft Lip and Palate in a Tertiary Care Dental Hospital.

Background Oro-facial clefts (OFCs) are formed due to a combination of genetic factors and environmental factors. Treatment is usually extensive and lasts till adult age. The treatment also includes a large portion of dental rehabilitation. Objective This study aims to look at the different dental anomalies associated with OFCs. Methods A total of 100 participants with OFCs were randomly selected from Clap centre Lahore. They were categorized into cleft lip (CL), cleft palate (CP), and both. Dental anomalies were recorded clinically and family history for OFCs was also recorded. Results Out of the 100 participants, 15 had CL only, 37 had a CP, and 48 had both CL and CP. Missing teeth and hypodontia were significantly associated with all OFCs (p-value > 0.05). Supernumerary teeth were only significantly associated with CP (p-value: 0.04). Other dental anomalies were not significant for OFCs. Conclusion OFCs in all its three forms are associated with dental irregularities. They can either be missing teeth or extra teeth. There is a strong need for dentists to be a part of the treatment planning of OFCs and to treat dental anomalies alongside the clefts.