Optimized Tree Strategy with Principal Component Analysis Using Feature Selection-Based Classification for Newborn Infant’s Jaundice Symptoms

One of the most important and difficult research fields is newborn jaundice grading. The mitotic count is an important component in determining the severity of newborn jaundice. The use of principal component analysis (PCA) feature selection and an optimal tree strategy classifier to produce automatic mitotic detection in histopathology images and grading is given. This study makes use of real-time and benchmark datasets, as well as specific approaches for detecting jaundice in newborn newborns. According to research, the quality of the feature may have a negative impact on categorization performance. Additionally, compressing the classification method for exclusive main properties can result in a classification performance bottleneck. As a result, identifying appropriate characteristics for training the classifier is required. By combining a feature selection method with a classification model, this is possible. The major outcomes of this study revealed that image processing techniques are critical for predicting neonatal hyperbilirubinemia. Image processing is a method of translating analogue images to digital formats and manipulating them. The primary goal of medical image processing is to collect information useful for disease detection, diagnosis, monitoring, and therapy. Image datasets can be used to validate the performance of newborn jaundice detection. When compared to conventional approaches, it offers results that are accurate, quick, and time efficient. Accuracy, sensitivity, and specificity, which are common performance indicators, were also predictive.

A Simple Designed Lens for Human Centric Lighting Using LEDs

Light is generally important for human beings. Visible light supports vision and can modify circadian rhythm, and together with invisible light at longer or shorter wavelength can also make either a direct or indirect impact on human biological and mental health. For medical applications, several studies have shown success in using light to fasten the skin regeneration in burns and to cure diseases such as newborn jaundice. In daily life, an appropriate amount and time exposure to certain types of light can result in rising of alertness and mood improvement, which leads to noticeable growth in one’s productivity. Therefore, human centric lighting can modify lighting factors to make the best of the natural characteristics of light. The seek an ideal indoor lighting system is widely carried out not only by scientists but also by architects. A qualified luminaire is considered by many factors, including luminous productivity, visual comfort and expenses; meanwhile, the idealization of illuminance is also constructed in many ways, such as widening the lamp’s surface area, changing of luminaire’s positions and applying different methods to illuminate a surface. Approaching these problems, our idea is to study the uplighting method and freeform optics using low-cost acrylic lenses. By changing lens shape and optimizing the factors which affect the illuminance such as the irradiation angle and the distance between the luminaire and the reflection surfaces, we find the most effective lens and its peaks due to each factors using the ray-tracing simulation to obtain results concerning high uniformity of illumination.

The effect of exchange transfusion on prooxidant-antioxidant balance in newborns Jaundice

Introduction: Newborns have a limited amount of antioxidant protection. Exchange transfusion may affect Prooxidant-Antioxidant Balance (PAB). The present study is conducted to investigate the effect of the exchange transfusion on PAB in newborn jaundice. Methods: The present study is based on a clinical trial which is conducted at Ghaem Hospital in Mashhad, Iran during 2015-2016 that involved sampling on 22 jaundiced newborns (high bilirubin of 17 mg/dL) over a course of 35 weeks. Data collection for the study questionnaire included maternal blood group, neonatal characteristics (age, sex, weight, gestational age, Apgar score, etc.), and laboratory assessment (bilirubin, hematocrit, direct and indirect Coombs testing, reticulocytes, Glucose-6-phosphate dehydrogenase (G6PD), thyroxine (T4), thyroid stimulating hormone (TSH), and PAB). The amount of PAB and serum total bilirubin (STB) of newborns before, after and 6 hours after the exchange transfusion were investigated. Data analysis was performed via statistical tests (paired t-test) using SPSS version 19. Results: The average bilirubin before the exchange transfusion was 22.02±5.80 mg/dL, after the exchange transfusion was 11.56±3.95 mg/dL, and at 6 hours after the exchange transfusion was 14.99±4.20 mg/dL. The average PAB before the exchange transfusion was 19.06±11.91 HK units, after the exchange transfusion was 29.40±17.70 HK, and at 6 hours after the exchange transfusion was 40.82±18.79 HK. Conclusion: The results of the study show that the Prooxidant-Antioxidant balance in the exchange transfusion changes in favor of prooxidants and also intensifies even up to 6 hours after the exchange transfusion.