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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Cognitive outcomes prediction in children using machine learning and big data analytics Subject The topic of the resource big data analytics; Cognitive outcomes; Machine learning Description An account of the resource This study explores the potential of machine learning (ML) and big data analytics in predicting cognitive outcomes in children, aiming to enhance early identification and intervention strategies. Leveraging a diverse dataset comprising neurocognitive assessments, genetic markers, socio-economic factors, and environmental variables, our research employs advanced ML algorithms to develop predictive models. The interdisciplinary approach integrates neuroscience, psychology, and data science to discern patterns and correlations within the expansive dataset. The study emphasizes the importance of early cognitive assessment for optimal child development and academic success. By harnessing the power of big data, our models seek to uncover nuanced relationships that traditional methodologies may overlook. Preliminary results indicate promising accuracy in predicting cognitive outcomes, offering a valuable tool for educators, healthcare professionals, and policymakers. Additionally, the model's interpretability allows for a deeper understanding of the factors influencing cognitive development. Ethical considerations, privacy safeguards, and data governance are integral components of this research, ensuring responsible use of sensitive information. The implications of this study extend beyond academia, with the potential to inform educational policies, personalized learning strategies, and targeted interventions for at-risk populations. As technological advancements continue, the integration of ML and big data analytics in predicting cognitive outcomes heralds a new era in pediatric research, promoting proactive approaches to support children's cognitive well-being. 2024 IEEE. Creator An entity primarily responsible for making the resource Behera N.R.; Thiyagarajan V.S.; Manoharan G.; Veena C.; Bikash Acharjee P.; Murthy A. Source A related resource from which the described resource is derived 4th International Conference on Innovative Practices in Technology and Management 2024, ICIPTM 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICIPTM59628.2024.10563250" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIPTM59628.2024.10563250</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197665093&amp;doi=10.1109%2FICIPTM59628.2024.10563250&amp;partnerID=40&amp;md5=b9096bdd695828b66b912d45bd9e1d83" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197665093&amp;doi=10.1109%2fICIPTM59628.2024.10563250&amp;partnerID=40&amp;md5=b9096bdd695828b66b912d45bd9e1d83</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030775-7 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Behera N.R., Swiss School of Business and Management Geneva, Petit-Lancy, 1213, Switzerland; Thiyagarajan V.S., Karpaga Vinayaga College of Engineering and Technology, Department of Cse, India; Manoharan G., Sr University, School of Business, Telangana, Warangal, India; Veena C., Institute of Aeronautical Engineering, Dundigal, Hyderabad, India; Bikash Acharjee P., Christ University Pune, Computer Science, India; Murthy A., Nitte ( Deemed to Be University), Nmam Institute of Technology, Department of Mca, Udupi, India