Designing an AI Healthcare System: EHR and Priority-Based Medical Segmentation Approach
Since the formulation of digital systems and the rapid advancements in the domain of modern technology in terms of computing and device peripherals that resides within the realm of which is revolving around perspective concepts, with its associated aspect of implementations such as Artificial Intell...
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| Format: | Article |
| Language: | English |
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Universitas Muhammadiyah Yogyakarta
2023-10-01
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| Series: | Medika Teknika |
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| Online Access: | https://journal.umy.ac.id/index.php/mt/article/view/19399 |
| _version_ | 1797655427600613376 |
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| author | Zarif Bin Akhtar |
| author_facet | Zarif Bin Akhtar |
| author_sort | Zarif Bin Akhtar |
| collection | DOAJ |
| description | Since the formulation of digital systems and the rapid advancements in the domain of modern technology in terms of computing and device peripherals that resides within the realm of which is revolving around perspective concepts, with its associated aspect of implementations such as Artificial Intelligence (AI), Machine Learning, Deep Learning, Cloud Computing, Smart Digital Systems are now booming out with an acceleration of apex proportion in the various diversity of fields within the domain of engineering. Especially in the field of Bio-Medical Engineering these aspects can play significant roles considering for the human conditions and anatomy perspective. Health which is the top priority of perspective, giving scope to human conditions and with the continuation of time and increase of diseases along with, fatal issues revolved around the human health, it is of upmost and great importance to find the optimum solutions for all the cases of scenarios. This research focuses on that aspect of perspective towards the Electronic Health Record (EHR) system with its usage in accordance with an Artificial Intelligence (AI) for providing an optimal solution presented to it where the issues are tackled with prioritization and segment queue and an overall proficiency for the optimum results in direct relation to performance efficiency with the prototype version that is developed, deployed and experimented with for the conduction of this research. |
| first_indexed | 2024-03-11T17:14:07Z |
| format | Article |
| id | doaj.art-2897e46ebde249beaf57daaf3b48e6e2 |
| institution | Directory Open Access Journal |
| issn | 2722-0508 2716-0505 |
| language | English |
| last_indexed | 2024-03-11T17:14:07Z |
| publishDate | 2023-10-01 |
| publisher | Universitas Muhammadiyah Yogyakarta |
| record_format | Article |
| series | Medika Teknika |
| spelling | doaj.art-2897e46ebde249beaf57daaf3b48e6e22023-10-20T04:04:13ZengUniversitas Muhammadiyah YogyakartaMedika Teknika2722-05082716-05052023-10-0151506610.18196/mt.v5i1.193997022Designing an AI Healthcare System: EHR and Priority-Based Medical Segmentation ApproachZarif Bin Akhtar0MPhil Research Postgraduate Student, Master of Philosophy (MPhil) in Machine Learning and Machine Intelligence, Department of Engineering, University of Cambridge, The Old Schools, Trinity Ln, Cambridge CB2 1TN, United Kingdom Bachelor of Science (B.Sc.) in Computer Engineering (CoE) with a Major in Biomedical Engineering and a Minor in 3D Modeling and Animation, American International University-Bangladesh (AIUB), 408/1, Kuratoli, Khilkhet, Dhaka, BangladeshSince the formulation of digital systems and the rapid advancements in the domain of modern technology in terms of computing and device peripherals that resides within the realm of which is revolving around perspective concepts, with its associated aspect of implementations such as Artificial Intelligence (AI), Machine Learning, Deep Learning, Cloud Computing, Smart Digital Systems are now booming out with an acceleration of apex proportion in the various diversity of fields within the domain of engineering. Especially in the field of Bio-Medical Engineering these aspects can play significant roles considering for the human conditions and anatomy perspective. Health which is the top priority of perspective, giving scope to human conditions and with the continuation of time and increase of diseases along with, fatal issues revolved around the human health, it is of upmost and great importance to find the optimum solutions for all the cases of scenarios. This research focuses on that aspect of perspective towards the Electronic Health Record (EHR) system with its usage in accordance with an Artificial Intelligence (AI) for providing an optimal solution presented to it where the issues are tackled with prioritization and segment queue and an overall proficiency for the optimum results in direct relation to performance efficiency with the prototype version that is developed, deployed and experimented with for the conduction of this research.https://journal.umy.ac.id/index.php/mt/article/view/19399artificial intelligence (ai)biomedical engineering (bme)data miningdeep learningmachine learning. |
| spellingShingle | Zarif Bin Akhtar Designing an AI Healthcare System: EHR and Priority-Based Medical Segmentation Approach Medika Teknika artificial intelligence (ai) biomedical engineering (bme) data mining deep learning machine learning. |
| title | Designing an AI Healthcare System: EHR and Priority-Based Medical Segmentation Approach |
| title_full | Designing an AI Healthcare System: EHR and Priority-Based Medical Segmentation Approach |
| title_fullStr | Designing an AI Healthcare System: EHR and Priority-Based Medical Segmentation Approach |
| title_full_unstemmed | Designing an AI Healthcare System: EHR and Priority-Based Medical Segmentation Approach |
| title_short | Designing an AI Healthcare System: EHR and Priority-Based Medical Segmentation Approach |
| title_sort | designing an ai healthcare system ehr and priority based medical segmentation approach |
| topic | artificial intelligence (ai) biomedical engineering (bme) data mining deep learning machine learning. |
| url | https://journal.umy.ac.id/index.php/mt/article/view/19399 |
| work_keys_str_mv | AT zarifbinakhtar designinganaihealthcaresystemehrandprioritybasedmedicalsegmentationapproach |