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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Hereditary factor-based multi-featured algorithm for early diabetes detection using machine learning Subject The topic of the resource Classification algorithm; Decision trees; Diabetes detection; Multi-featured algorithm; Prediction Description An account of the resource Today's advent in the medical industry have given numerous chances to improve the quality of detection and reporting the diseases at the early stages for a better diagnosis. Modern day datasets generate fruitful information for timely and periodic monitoring of patients' health conditions. Such information is hidden to a naked eye or hidden in multiple track records of highly affected population. Diabetes mellitus is one such disease which is predominant among a global population which ultimately leads to blindness and death in some cases. The model proposed in this system attempts to design and deliver an intelligent solution for predicting diabetes in the early stages and address the problem of late detection and diagnosis. Intensive research is carried out in many tropical countries for automating this process through a machine learning model. The accuracy of machine learning algorithms is more than satisfactory in the detection of Type 2 diabetes from the dataset of PIMA Indians Diabetes Dataset. An additional feature of hereditary factor is implemented to the existing multiple objective fuzzy classifiers. The proposed model has improved the accuracy to 83% in the training and tested datasets when compared to NGSA model of prediction. 2022 Scrivener Publishing LLC. Creator An entity primarily responsible for making the resource Deepajothi S.; Juliana R.; Aruna S.K.; Thiagarajan R. Source A related resource from which the described resource is derived Artificial Intelligent Techniques for Wireless Communication and Networking, pp. 235-253. Publisher An entity responsible for making the resource available wiley Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781119821809.ch15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781119821809.ch15</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148085821&amp;doi=10.1002%2F9781119821809.ch15&amp;partnerID=40&amp;md5=3da47231aabcdb719a732a2e49e6f8d5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148085821&amp;doi=10.1002%2f9781119821809.ch15&amp;partnerID=40&amp;md5=3da47231aabcdb719a732a2e49e6f8d5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-111982180-9; 978-111982127-4 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Deepajothi S., Dept. of CSE, Gurunanak Institute of Technology, Hyderabad, India; Juliana R., Dept. of IT, Loyola ICAM College of Engineering and Technology, Chennai, India; Aruna S.K., Dept. of CSE, Christ (Deemed to be University) School of Engineering and Technology, Bangalore, India; Thiagarajan R., Dept. of CSE, Prathyusha Engineering College, Thiruvallur, India