AI-based big data analytics model for medical applications
Today, people's daily lives depended on their mobile phones, facilitating many beneficial tasks. Mobile computing and cloud computing combine cloud-based mobile computing to improve their features and overcoming their disadvantages such as memory space, processor, and longer battery life. By co...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
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| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917422001684 |
| _version_ | 1798030749249568768 |
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| author | S. Lokesh Sudeshna Chakraborty Revathy Pulugu Sonam Mittal Dileep Pulugu R. Muruganantham |
| author_facet | S. Lokesh Sudeshna Chakraborty Revathy Pulugu Sonam Mittal Dileep Pulugu R. Muruganantham |
| author_sort | S. Lokesh |
| collection | DOAJ |
| description | Today, people's daily lives depended on their mobile phones, facilitating many beneficial tasks. Mobile computing and cloud computing combine cloud-based mobile computing to improve their features and overcoming their disadvantages such as memory space, processor, and longer battery life. By combining the four ''V's'' of volume, variety, velocity and veracity, Big Data analytics tools allow the utility to be extracted through knowledge. This paper explores the development of interconnected healthcare systems and the contribution of mobile cloud applications and big data analysis. With the implementation of cloud computing in the healthcare system, inspiration and development of interconnected health - software and care services are given. Big Data services for the healthcare sector on a cloudlet-based mobile cloud computing platform. Big data analysis methods, equipment, and solutions are examined. We have concluded the development of interconnected medical systems using Big Data and mobile cloud computing. |
| first_indexed | 2024-04-11T19:46:16Z |
| format | Article |
| id | doaj.art-b45a12b8e271415c896120dabc759151 |
| institution | Directory Open Access Journal |
| issn | 2665-9174 |
| language | English |
| last_indexed | 2024-04-11T19:46:16Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Measurement: Sensors |
| spelling | doaj.art-b45a12b8e271415c896120dabc7591512022-12-22T04:06:29ZengElsevierMeasurement: Sensors2665-91742022-12-0124100534AI-based big data analytics model for medical applicationsS. Lokesh0Sudeshna Chakraborty1Revathy Pulugu2Sonam Mittal3Dileep Pulugu4R. Muruganantham5Department of Computer Science and Engineering, PSG Institute of Technology and Applied Research, Coimbatore, 641062, India; Corresponding author.School of Computing Science and Engineering, Galgotias University, Greater Noida 203201, Uttar Pradesh, IndiaDepartment of Computer Science and Engineering, Narsimha Reddy Engineering College, Kompally, Hyderabad, 500100, Telangana State, IndiaDepartment of Information Technology, B K Birla Institute of Engineering and Technology, Pilani, 333031, Rajasthan, IndiaDepartment of Computer Science and Engineering, Malla Reddy College of Engineering and Technology, Kompally, Hyderabad, 500100, Telangana State, IndiaDepartment of Information Technology,TKR College of Engineering and Technology, Meerpet, Hyderabad, 500097, Telangana, IndiaToday, people's daily lives depended on their mobile phones, facilitating many beneficial tasks. Mobile computing and cloud computing combine cloud-based mobile computing to improve their features and overcoming their disadvantages such as memory space, processor, and longer battery life. By combining the four ''V's'' of volume, variety, velocity and veracity, Big Data analytics tools allow the utility to be extracted through knowledge. This paper explores the development of interconnected healthcare systems and the contribution of mobile cloud applications and big data analysis. With the implementation of cloud computing in the healthcare system, inspiration and development of interconnected health - software and care services are given. Big Data services for the healthcare sector on a cloudlet-based mobile cloud computing platform. Big data analysis methods, equipment, and solutions are examined. We have concluded the development of interconnected medical systems using Big Data and mobile cloud computing.http://www.sciencedirect.com/science/article/pii/S2665917422001684Mobile devicesBig data analyticsCloud computingHealth care |
| spellingShingle | S. Lokesh Sudeshna Chakraborty Revathy Pulugu Sonam Mittal Dileep Pulugu R. Muruganantham AI-based big data analytics model for medical applications Measurement: Sensors Mobile devices Big data analytics Cloud computing Health care |
| title | AI-based big data analytics model for medical applications |
| title_full | AI-based big data analytics model for medical applications |
| title_fullStr | AI-based big data analytics model for medical applications |
| title_full_unstemmed | AI-based big data analytics model for medical applications |
| title_short | AI-based big data analytics model for medical applications |
| title_sort | ai based big data analytics model for medical applications |
| topic | Mobile devices Big data analytics Cloud computing Health care |
| url | http://www.sciencedirect.com/science/article/pii/S2665917422001684 |
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