Gireesh, E., Gurupur, V. (2023). Informational entropy measures for evaluation of reliability of deep neural network results, Entropy, Vol. 25(4) 573. DOI: 3390/e25040573.
Decker, V., King, C., Cassisi, J., & Tofthagen, C. (2023). Usability and Acceptability of a Videoconference Program for the Treatment of Depression in Adults With Peripheral Neuropathy. CIN: Computers, Informatics, Nursing, 10-1097. DOI: 10.1097/CIN.0000000000001008
King, C., and Huang, X. (2023). Neighborhood Violence and Housing Instability: An Exploratory Study of Low-Income Women. Housing Studies. DOI: 10.1080/02673037.2022.2074970
Gurupur, V., Hooshmand, S., Abedin, P., Shelleh, M. (2022). Analyzing the Data Completeness of Patients’ Records Using a Random Variable Approach to Predict the Incompleteness of Electronic Health Records, Applied Sciences, DOI: 2076-3417/12/21/10746.
Gurupur, V. (2022). Can the theories of information and communication channels be used to explain the complexities associated with transformation of data into information, and information to knowledge? Journal of Integrated Design and Process Science, DOI: 10.3233/JID-220010.
Gireesh, E. D., Skinner, H., Seo, J.H., Chen, P-C., Lee, K., Gurupur, V. (2022). Deep neural networks and gradient-weighted class activation mapping to classify and analyse EEG, Intelligent Decision Technologies, Vol. 17(1), pp. 43-53.
Gurupur, V. (2022). Key Observations in terms of Management of Electronic Health Records from a mHealth Perspective, mHealth, DOI: 10.21037/mhealth-21-39.
Li, Y, Li, D. and King, C. (2022). Food Insufficiency among Job-Loss Households during the Pandemic: The Role of Food Assistance Programs. Sustainability, 14(22), 15433. doi.org/10.3390/su142215433
Sikka, V., King, C., Klinker, S., Mont, T., Sommers-Olson, B., Hunt, B. E., Davis, S., and Fonseca, J. (2022). Telemedicine for Veterans in the Setting of the COVID-19 Pandemic: Lessons Learned from a Virtual Urgent Care. Journal of Telemedicine and Telecare. doi.org/10.1177/1357633X211069018
Bernhardt, C., and King, C. (2022). Neighborhood disadvantage and prescription drug misuse in low-income urban mothers. Drug and Alcohol Dependence, 231, 109245. doi.org/10.1016/j.drugalcdep.2021.109245
King, C., Huang, X., and Dewan, N. (2022) Continuity and change in neighborhood disadvantage and adolescent depression and anxiety. Health & Place, 73, 102724. doi.org/10.1016/j.healthplace.2021.102724
King, C., and Mancao, H., J. (2022). Special Supplemental Nutrition Program for Women, Infants, and Children Participation and Unmet Health Care Needs among Young Children. Child: Care, Health and Development. doi.org/10.1111/cch.12959
Bernhardt, C., and King, C. (2022). Telehealth and food insecurity screenings: challenges and lessons learned. mHealth, 8, 10. doi:10.21037/mhealth-21-31
Ramirez Garcia, N., Garcia Sierra, A., M., King, C., Valbuena, A., M., Urina-Triana, M., Quintero Baiz, A. & Acuña, A. (2022). Regional variability of glycemic control among adults with diabetes mellitus in Colombia. Public Health of Mexico, 64(2), 233-235. doi.org/10.21149/13053
Bernhardt, C., Hou, S-I, King, C., and Miller, A. (2022). Identifying barriers to effective patient-provider communication about food insecurity screenings in outpatient clinical settings in Central Florida: A mixed-methods study. Journal of Public Health Management and Practice, 28(2), E595-E602. doi.org/10.1097/PHH.0000000000001449
Gurupur, V., Miao, Z. (2021). A Brief Analysis of Challenges in implementing Telehealth in a Rural Setting, mHealth, DOI: 21037/mhealth-21-38.
Kulkarni, S.A., Gurupur, V., King, C., Koval, A. (2021). Impact of Gaussian Noise for Optimized Support Vector Machine Algorithm Applied to Medicare Payment on Raspberry Pi, Informatica, Vol. 12(2), pp. 57 - 75.
Gurupur, V., Shelleh, M.(2021). Machine Learning Analysis for Data Incompleteness (MADI): Analyzing the Data Completeness of Patient Records Using a Random Variable Approach to Predict the Incompleteness of Electronic Health Records, IEEE Access, Vol. 9, pp. 95994-96001. DOI: 1109/ACCESS.2021.3095240.
Gurupur, V. (2021). A Review on Advances in Design and Development of Complex Adaptive Systems for Healthcare Using Concept Maps, Health Technology, 5(2021), pp. 1-6. DOI: 10.21037/ht-21-12.
Wan, T.T.H., Gurupur, V., Wang, B.L., Mathews, S. (2021). A Patient-Centric Care Approach to Facilitate the Design of an Artificial Intelligence Application in Geriatric Care Management of Heart Failure Readmissions, Biomedical Research and Clinical Reviews, DOI: 10.31579/2692-9406/056.
Kulkarni, S.A., Pannu, J.S.*, Koval, A.V., Merrin, G.J., Gurupur, V., Nasir, A., King, C., Wan, T.T.H. (2021). A Brief Analysis of Key Machine Learning Methods for Predicting Medicare Payments Related to Physical Therapy Practices in the United States, Information, Vol 12(2), 57. https://doi.org/10.3390/info12020057.
Wan, T.T.H., Gurupur, V. (2020). Understanding the Difference between Healthcare Informatics and Healthcare Data Analytics in the Present State of Health Care Management, Health Services Research & Managerial Epidemiology, 7, pp. 1-3.
Gurupur, V., Wan, T.T.H. (2020). Inherent Bias in Artificial Intelligence-Based Decision Support Systems for Healthcare, Medicina, 2020 56(3), 141.
McAtee, J. R., Tao, M. H., King, C., & Chai, W. (2020). Association of Home Food Availability with Prediabetes and Diabetes among Adults in the United States. Nutrients, 12(5), 1209. doi.org/10.3390/nu12051209
King, C. and Liu, X. (2020). Racial and Ethnic Disparities in Opioid Use among US Adults with Back Pain. Spine, 45(15), 1062-1066. DOI: 10.1097/BRS.0000000000003466
King, C., and Khanijahani, A. (2020). Unmet Health Care Needs among Children of Mothers Exposed to Violence. Child Abuse & Neglect. doi.org/10.1016/j.chiabu.2020.104363
Asha C.S., Lal, S., Gurupur, V., Saxena, P.U. (2019). Multimodal Medical Image Fusion with Adaptive Weighted Combination of NSST Bands using Chaotic Grey Wolf Optimization, IEEE Access, DOI: 10.1109/ACCESS.2019.2908076.
Srinivasagopalan, S., Barry, J., Gurupur, V., Thankachan, S.V. (2019). A Deep Learning Approach for Diagnosing Schizophrenic Patients, Journal of Experimental & Theoretical Artificial Intelligence, DOI: 1080/0952813X.2018.1563636.
Raffenaud, A., Gurupur, V., Fernandes, S.L., Yeung, T. (2019). Utilizing Telemedicine in Oncology Settings: Patient Favourability Rates and Perceptions of use Analysis Using Chi-Square and Neural Networks, Technology and Health Care, DOI: 3233/THC-181293.
Steis, M., Unruh, L., Gurupur, V., Shettian, E., Rowe, M., Golden, A. (2019). Family caregivers faced with new acute symptoms: What to do?, American Journal of Nursing, Vol. 119(3), pp. 22-29.
Wan, T.T.H., Gurupur, V., Patel, A. (2019). A Longitudinal Analysis of Total Pain Scores for a Panel of Patients Treated by Pain Clinics, Health Services Research & Managerial Epidemiology, Vol. 6:1-7, DOI: 10.1177/2333392818788420.
McAtee, J., King, C., and Chai, W. (2019). Food Insecurity is Inversely Associated with Healthy Food Availability among Adults in the United States. Diabesity, 5(1), 17-22. DOI:10.15562/diabesity.2019.XX17
Gurupur, V., Kulkarni, S.A., Liu, X., Desai, U., Nasir, A*. (2018). Analysing the Power of Deep Learning Techniques Over the Traditional Methods Using Medicare Utilization and Provider Data, Journal of Experimental & Theoretical Artificial Intelligence, 31(1), pp. 99 -115.