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Title: USING SOFTWARE TO EXTRACT KEY FINDINGS FROM SCIENTIFIC RESEARCH PAPERS: A CASE STUDY USING RESEARCH ON COVID-19
Authors: Jai Agarwal, Taruna Agarwal, Hrithik Jain, Yilun Wu, John Leddo, Saharsh Ranga, Riya Srikumar, Antonia Gabrial, Ritika Bishen, Emma Wu, Srikaran Yelimati, Max Ritter, Sophia Nasibdar, Eshanth Penumatsa, Ishwarya Ramineni, Eshan Iyer, Krisha Dotiwalla, Srihitha Somavarapu, Nishaaj Khan, Sia Magoon, Karthik Pathakota
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Dr. John Leddo is the director of research at MyEdMaster.
MLA 8 Leddo, John. "USING SOFTWARE TO EXTRACT KEY FINDINGS FROM SCIENTIFIC RESEARCH PAPERS: A CASE STUDY USING RESEARCH ON COVID19." Int. j. of Social Science and Economic Research, vol. 7, no. 9, Sept. 2022, pp. 3192-3214, doi.org/10.46609/IJSSER.2022.v07i09.029. Accessed Sept. 2022. APA 6 Leddo, J. (2022, September). USING SOFTWARE TO EXTRACT KEY FINDINGS FROM SCIENTIFIC RESEARCH PAPERS: A CASE STUDY USING RESEARCH ON COVID19. Int. j. of Social Science and Economic Research, 7(9), 3192-3214. Retrieved from https://doi.org/10.46609/IJSSER.2022.v07i09.029 Chicago Leddo, John. "USING SOFTWARE TO EXTRACT KEY FINDINGS FROM SCIENTIFIC RESEARCH PAPERS: A CASE STUDY USING RESEARCH ON COVID19." Int. j. of Social Science and Economic Research 7, no. 9 (September 2022), 3192-3214. Accessed September, 2022. https://doi.org/10.46609/IJSSER.2022.v07i09.029.
References [1]. Boina, N., Agarwal, J., Agarwal, T., Leddo, J. et al. (2021a). A Novel Meta-Machine Learning Approach to Diagnose Stress from Environmental Factors Using Automated Knowledge Graphs, International Journal of Social Science and Economic Research, 6(12), 4961-4970. [2]. Boina, N., Agarwal, J., Agarwal, T., Leddo, J. et al. (2021b). A Novel Meta-Machine Learning Approach to Diagnose Stress from Individual Factors Using a Self-retrieved Dataset and then Provide Directed Treatment, International Journal of Social Science and Economic Research, 6(12), 4933-4944. [3]. Boina, N. et al. (2021c). A Novel Meta-Machine Learning Platform Able to Autonomously Learn How to Diagnose Acne and Jaundice. International Journal of Social Science and Economic Research, 6(10), 4151-4158. [4]. Boina, N. et al. (2021d). A Novel Meta-Machine Learning Platform Able to Autonomously Learn How to Diagnose Autism, Breast Cancer, Melanoma Mole Cancer and Pink Eye. International Journal of Social Science and Economic Research, 6(10), 4159-4171. [5]. Ecmekcioglu, C. (2020). Nutrition and Longevity – From mechanisms to uncertainties. Critical Reviews in Food and Science Nutrition, 60(18), 3063-3082. [6]. Longo, V.D., Di Tano, M., Mattson, M.P. & Guidi, M. P. (2021). Intermittent and periodic fasting, longevity and disease. Nature Aging, 1, 47-59. [7]. Roberts, M.N., Wallace, M.A., Tomilov, A.A., Cortopassi, G.A., Ramsey, J.J.& Lopez-Dominguz, J.A. (2017). A Ketogenic Diet Extends Longevity and Healthspan in Adult Mice.Cell Metabolism, 26, 539-546. [8]. Trichopoulou, A. &Vasilopoulou, E. (2000). Mediterranean Diet and Longevity. British Journal of Nutrition, Dec;84 Suppl 2:S205-9. doi: 10.1079/096582197388554. PMID: 11242471.
ABSTRACT: With the explosion of information on the Internet, search engine users still find themselves having to weed through a myriad of websites to ensure that they find the relevant information. This is even more cumbersome in dynamic subject areas, such as scientific research, where research findings may not be stable and even contradictory. Laypeople are especially burdened since they may lack the knowledge to evaluate what scientific papers are actually concluding. The present paper describes software that reads scientific papers and distills their principal findings in a format that laypeople can understand. This software is evaluated in the topic area of research on Covid-19. A separate paper evaluates this software in the topic area of research on diet.

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