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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Study on an identification of chronical disease prediction using Artificial Intelligence and Big Data |
| Authors Name: | Ms Poonam Abraham Lakra |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_191516
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| Published Paper Id: | IJNRD2304338 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | http://doi.one/10.1729/Journal.38770 |
| Abstract: | Knowledge driven from technology has always benefited the human being to large extent. Few years back during 20th mid-century, what was figment of the imagination of many scientists, Artificial Intelligence has turned into reality. Artificial Intelligence (AI) is the simulation of human intelligence demonstrated by machines This aspect involves learning, reasoning and self-correction. AI has started bringing new revolution in the medical healthcare. The amalgamation of AI in healthcare sector has empowered the human limits. In this review article, various latest development of applications of AI in the field of biomedical including diagnosis and prediction analysis of disease is highlighted. There are certain challenges as well in imbibing the AI framework in medical. The healthcare industry is expanding and rising every year. With this there is huge volume of data generated. As the data grow exponentially, the implementation of machine learning and big data helps in filtering the required data from huge volume of data and turn it into actionable information. Disease always shows the different condition and effects gradually in the diagnosis. But many a time due of lack of correct analysis, disease are not diagnosis prior. This study highlights the different strategies and algorithm used in machine learning, artificial intelligence and big data. This study covered different articles which highlights the various methods and algorithms used to search best optimal way to predict the disease. The data is captured either with Electronic Health Record (EHR) or Medical Health Record (MHR). |
| Keywords: | Artificial Intelligence, Big data, Biomedical, Machine learning, Algorithm, Electronic Health Record, Medical Health Record |
| Cite Article: | "Study on an identification of chronical disease prediction using Artificial Intelligence and Big Data", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.d259-d271, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304338.pdf |
| Downloads: | 000118754 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2304338 Registration ID: 191516 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.38770 Page No: d259-d271 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304338 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304338 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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