Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimized Tree Strategy with Principal Component Analysis Using Feature Selection-Based Classification for Newborn Infant's Jaundice Symptoms Description An account of the resource 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. 2021 Debabrata Samanta et al. Creator An entity primarily responsible for making the resource Samanta D.; Karthikeyan M.P.; Karuppiah M.; Parwani D.; Maheshwari M.; Shukla P.K.; Nuagah S.J. Source A related resource from which the described resource is derived Journal of Healthcare Engineering, Vol-2021 Publisher An entity responsible for making the resource available Hindawi Limited Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1155/2021/9806011" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2021/9806011</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120910720&amp;doi=10.1155%2F2021%2F9806011&amp;partnerID=40&amp;md5=ef464ebc78cb7723a732bfc72a7ae4f3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120910720&amp;doi=10.1155%2f2021%2f9806011&amp;partnerID=40&amp;md5=ef464ebc78cb7723a732bfc72a7ae4f3</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 20402295; PubMed ID: 34858565 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Samanta D., Department of Computer Science, CHRIST Deemed to Be University, Bangalore, India; Karthikeyan M.P., Department of Computer Science, PPG College of Arts and Science, Coimbatore, India; Karuppiah M., Department of Computer Science and Engineering, SRM Institute of Science and Technology, Delhi-NCR Campus, Uttar Pradesh, Ghaziabad, 201204, India; Parwani D., Sant Hirdaram Girls College Bhopal, Madhya Pradesh, Bhopal, India; Maheshwari M., Department of Computer Application, MCNUJC, Madhya Pradesh, Bhopal, India; Shukla P.K., Computer Science and Engineering Department, University Institute of Technology Rajiv Gandhi Proudyogiki Vishwavidyalaya, Technological University of Madhya Pradesh, Bhopal, 462033, India; Nuagah S.J., Department of Electrical Engineering, Tamale Technical University, Tamale, Ghana