Intelligent and Interactive Healthcare System (I<sup>2</sup>HS) Using Machine Learning
There has been a gigantic stir in the world’s healthcare sector for the past couple of years with the advent of the Covid-19 pandemic. The healthcare system has suffered a major setback and, with the lack of doctors, nurses, and healthcare facilities the need for an intelligent healthcare...
| Автори: | , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
IEEE
2022-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/9853209/ |
| _version_ | 1828130322728878080 |
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| author | Rashika Raina Rakesh Kumar Jha |
| author_facet | Rashika Raina Rakesh Kumar Jha |
| author_sort | Rashika Raina |
| collection | DOAJ |
| description | There has been a gigantic stir in the world’s healthcare sector for the past couple of years with the advent of the Covid-19 pandemic. The healthcare system has suffered a major setback and, with the lack of doctors, nurses, and healthcare facilities the need for an intelligent healthcare system has come to the fore more than ever before. Smart healthcare technologies and AI/ML algorithms provide encouraging and favorable solutions to the healthcare sector’s challenges. An Intelligent Human-Machine Interactive system is the need of the hour. This paper proposes a novel architecture for an Intelligent and Interactive Healthcare System that incorporates edge/fog/cloud computing techniques and focuses on Speech Recognition and its extensive application in an interactive system. The focal reason for using speech in the healthcare sector is that it is easily available and can easily predict any physical or psychological discomfort. Simply put, human speech is the most natural form of communication. The Hidden Markov Model is applied to process the proposed approach as using the probabilistic approach is more realistic for prediction purposes. Ongoing projects and directions for future work along with challenges/issues are also addressed. |
| first_indexed | 2024-04-11T16:32:20Z |
| format | Article |
| id | doaj.art-3a5da2912dc74c21963b0ec744d6f2f4 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T16:32:20Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-3a5da2912dc74c21963b0ec744d6f2f42022-12-22T04:13:59ZengIEEEIEEE Access2169-35362022-01-011011640211642410.1109/ACCESS.2022.31978789853209Intelligent and Interactive Healthcare System (I<sup>2</sup>HS) Using Machine LearningRashika Raina0Rakesh Kumar Jha1https://orcid.org/0000-0001-7321-4753School of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Jammu and Kashmir, IndiaDepartment of Electronics and Communication Engineering, Indian Institute of Information Technology Design and Manufacturing, Madhya Pradesh, Jabalpur, IndiaThere has been a gigantic stir in the world’s healthcare sector for the past couple of years with the advent of the Covid-19 pandemic. The healthcare system has suffered a major setback and, with the lack of doctors, nurses, and healthcare facilities the need for an intelligent healthcare system has come to the fore more than ever before. Smart healthcare technologies and AI/ML algorithms provide encouraging and favorable solutions to the healthcare sector’s challenges. An Intelligent Human-Machine Interactive system is the need of the hour. This paper proposes a novel architecture for an Intelligent and Interactive Healthcare System that incorporates edge/fog/cloud computing techniques and focuses on Speech Recognition and its extensive application in an interactive system. The focal reason for using speech in the healthcare sector is that it is easily available and can easily predict any physical or psychological discomfort. Simply put, human speech is the most natural form of communication. The Hidden Markov Model is applied to process the proposed approach as using the probabilistic approach is more realistic for prediction purposes. Ongoing projects and directions for future work along with challenges/issues are also addressed.https://ieeexplore.ieee.org/document/9853209/Interactive systemhuman-machine interactionsmart healthcareartificial intelligencemachine learninghidden Markov model |
| spellingShingle | Rashika Raina Rakesh Kumar Jha Intelligent and Interactive Healthcare System (I<sup>2</sup>HS) Using Machine Learning IEEE Access Interactive system human-machine interaction smart healthcare artificial intelligence machine learning hidden Markov model |
| title | Intelligent and Interactive Healthcare System (I<sup>2</sup>HS) Using Machine Learning |
| title_full | Intelligent and Interactive Healthcare System (I<sup>2</sup>HS) Using Machine Learning |
| title_fullStr | Intelligent and Interactive Healthcare System (I<sup>2</sup>HS) Using Machine Learning |
| title_full_unstemmed | Intelligent and Interactive Healthcare System (I<sup>2</sup>HS) Using Machine Learning |
| title_short | Intelligent and Interactive Healthcare System (I<sup>2</sup>HS) Using Machine Learning |
| title_sort | intelligent and interactive healthcare system i sup 2 sup hs using machine learning |
| topic | Interactive system human-machine interaction smart healthcare artificial intelligence machine learning hidden Markov model |
| url | https://ieeexplore.ieee.org/document/9853209/ |
| work_keys_str_mv | AT rashikaraina intelligentandinteractivehealthcaresystemisup2suphsusingmachinelearning AT rakeshkumarjha intelligentandinteractivehealthcaresystemisup2suphsusingmachinelearning |