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Title: A NOVEL MACHINE LEARNING APPROACH TO ACQUIRE MEDICAL KNOWLEDGE FROM THE INTERNET AND DEVELOP COMPLEX USER INTERACTIONS
Authors: John Leddo
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John Leddo John Leddo is the director of research at MyEdmaster.
MLA 8 Leddo, John. "A NOVEL MACHINE LEARNING APPROACH TO ACQUIRE MEDICAL KNOWLEDGE FROM THE INTERNET AND DEVELOP COMPLEX USER INTERACTIONS." Int. j. of Social Science and Economic Research, vol. 7, no. 7, July 2022, pp. 2009-2018, doi.org/10.46609/IJSSER.2022.v07i07.019. Accessed July 2022. APA 6 Leddo, J. (2022, July). A NOVEL MACHINE LEARNING APPROACH TO ACQUIRE MEDICAL KNOWLEDGE FROM THE INTERNET AND DEVELOP COMPLEX USER INTERACTIONS. Int. j. of Social Science and Economic Research, 7(7), 2009-2018. Retrieved from https://doi.org/10.46609/IJSSER.2022.v07i07.019 Chicago Leddo, John. "A NOVEL MACHINE LEARNING APPROACH TO ACQUIRE MEDICAL KNOWLEDGE FROM THE INTERNET AND DEVELOP COMPLEX USER INTERACTIONS." Int. j. of Social Science and Economic Research 7, no. 7 (July 2022), 2009-2018. Accessed July, 2022. https://doi.org/10.46609/IJSSER.2022.v07i07.019.
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ABSTRACT: One of the main goals of machine learning is to make a General Artificial Intelligence. Currently, human artificial intelligence researchers work on meticulously manipulating model parameters by hand in order to arrive at highly optimized machine learning models. In the future, a system will be needed such that a software is able to completely arrive at an optimized model to a specific topic all by itself. In this study, a novel machine learning platform was created that could acquire medical knowledge from the Internet with regards to mental health, living habits, quality of life, standard of living, &community stress through the use of state-of-the-art natural language processing (NLP). The platform can then use said knowledge to pose unique questions about a user and give individualized responses through dynamic programming for the user’s benefit. The software was demonstrated to pose a sufficient understanding of generalized medical knowledge through Internet searching and relevant questioning/understanding of the user.

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