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Leverage Machine Learning Applications to Address Health Disparity, Explore Social Determinants of Health, and Promote Health Equity.
My laboratory has been at the forefront of leveraging machine learning (ML) methodologies to address both health disparities and environmental health issues. Through our ML initiatives, we have conducted research indicating that countries with high consumption of fruits and vegetables exhibit lower incidence and mortality rates of COVID-19. Furthermore, our recent investigations have showcased the remarkable efficacy of ML technology in diagnosing, predicting, categorizing, and even treating breast cancer. The ongoing evolution and integration of ML in medical research and practice hold immense potential to revolutionize our approach to healthcare and public health challenges. This progress promises more efficient and effective solutions. Selected prior contributions to science that align with my skills as a biomedical data scientist are outlined below. An asterisk denotes a corresponding author status.
Yedjou CG*, Shayla Webster S, Osborne D, Liu J, Balagurunathan Y, Odewuni C, Latinwo L, Pierre Ngnepiepa P, Alo R, Tchounwou PB. Health Promotion and Racial Disparity in COVID-19 Mortality Among African American Populations. Reports on Global Health Research. 2023; 6(3): ISSN: 2690-9480.
Yedjou CG*, Grigsby J, Mbemi AT, Nelson D, Mildort B, Latinwo L, and Paul B. Tchounwou PB. The Management of Diabetes Mellitus Using Medicinal Plants and Vitamins. Int. J. Mol. Sci. 2023,.24(10), 9085.
Parra-Bautista YJ, Messeha SS, Theran C, Aló R, Yedjou CG, Adankai V, Babatunde S. Marital Status of Never Married with Rey Auditory Verbal Learning Test Cognition Performance Is Associated with Mild Cognitive Impairment. Appl. Sci. 2023, 13(3), 1656;
Yedjou CG*, Tchounwou SS, Grigsby J, Johnson K, Tchounwou PB. Improving Invasive Breast Cancer Care Using Machine Learning Technology. J Biomed Res Environ Sci. 2022 Aug 30; 3(8): 980-984. doi: 10.37871/jbres1540.
Theran C, Bautista YP, Adankai V, Alo RA., Liu J, Yedjou CG. Analyzing the Performance of Machine Learning Models to Predict Alzheimer's Disease and its Stages Addressing Missing Value Problem. World Academy of Science, Engineering and Technology International Journal of Medical and Health Sciences Vol:16, No:12, 2022.
clement G. Yedjou, Solange Tchounwou, Lekan Latinwo, Richard Alo, Jinwei Liu, Carlos Theran, and Yohn Jairo Parra Bautista. Breast cancer diagnosis and classification using machine learning approach. Research presented at the 3rd Edition of Global Conference on Addiction Medicine, Behavioral Health and Psychiatry. Held in Orlando, FL. Oct 24-26, 2022.
Yedjou CG*, Tchounwou SS, Alo RA, et al. Application of Machine Learning Algorithms in Breast Cancer Diagnosis and Classification. International Journal of Science Academic Research. 2021; 02(10): 3081-3086.
Yedjou CG*, Alo RA, Liu J, Enow J, et al. Chemo-Preventive Effect of Vegetables and Fruits Consumption on the COVID-19 Pandemic. J Nutr Food Sci. 2021; 4: 029.
Liu J, Alo RA, Parra-Bautista YJ, Yedjou CG, and Theran C. Geospatial and ML-based Approach to Health Disparity Identification and Determinant Tracing for Improving Pandemic Health Care. International conference on Social Network Analysis Management and Security (SNAMS). Gandia, Spain, December 6 - 9, 2021.
Harness the Power of Artificial Intelligence in Education and Healthcare to Tackle Practical Issues
My research is centered on utilizing artificial intelligence to address practical challenges in education and healthcare. Specifically, I am working towards a future where educators can leverage data to not only inform their practices but also enhance teaching and learning outcomes while promoting a culture of continuous improvement and equity. Recent applications of AI in my biological courses have demonstrated substantial benefits, eliciting enthusiastic responses from students eager to integrate AI further into their educational journey. The following section outlines prior scientific contributions that align with the goals of my ongoing research, with an asterisk indicating my role as corresponding author.
Liu H, Malone N, Yedjou CG, Chadwick R, Haag J, Spector M. Automating Formative Assessment for STEM Courses in Hybrid Learning Environments. IEEE Global Engineering Education Conference. KOS, Greece, May 8-11, 2024.
Yedjou CG*, Tchakoua CT, Latinwo L, Tchounwou M, Eidahl K, Alo AA, Liu H. Recent advances in artificial intelligence (AI) in education, ethical concerns and implications. International Journal of Science Academic Research. 2024. 05(2); 7027-7030.
Tchakoua CT, Latinwo L, Tchounwou M, Yedjou CG. Using AI and interactive learning techniques to boost student success and perspectives in STEM fields. Research paper to be presented at the 2024 AAAI (The Association for the Advancement of Artificial Intelligence. Spring Symposium. Stanford University, CA. March 25-27, 2024.
Liu J, Yedjou CG, Deng J. VISUAL-Learning: Developing a Cloud-Based VISUAL Simulator for Enhancing STEM Students’ AI Learning Experience. Research paper to be presented at the 2024 AAAI (The Association for the Advancement of Artificial Intelligence) Spring Symposium. Stanford University, CA. March 25-27, 2024.
Liu J, Gong R, Kolog C, Yedjou CG, Nam-Speers J and Cheng L. EqualDig: Mitigating Digital Inequality for Improving AI Education at Minority-Serving Institutions. Research paper to be presented at the 2024 AAAI (The Association for the Advancement of Artificial Intelligence) Spring Symposium. Stanford University, CA. March 25-27, 2024.
Tchakoua CT, Latinwo L, Tchounwou M, Yedjou CG*, Liu H. Leveraging Artificial Intelligence and Interactive Learning Approaches for Enhanced Student Achievement and Perspectives in a Biology Course. International Journal of Science Academic Researc. 2023 December 29; 04(12):5.
Yedjou CG*, Latinwo L, Alo RA, Odewomi C, and Reaves P. Technology Enhanced Student Learning, Improved Engagement, and Performance in an Anatomy and Physiology Course: Engagement Student Learning Using Innovative Technologies. IGI Global, 2022. ISBN: 9781668453360.
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