Enhanced Virtual First Aid Box to Prevent and Rescue in Body Health Using Deep Extreme Genetic Model-Agnostic Meta-Learning (EG-MAML) Algorithm
Article Sidebar
Published
Dec 31, 2024
Main Article Content
Abstract
This study is focus to Enhanced Virtual First Aid Box (EVFAB) leverages advanced technologies to provide health monitoring and preventive measures, integrating the Deep Extreme Genetic Model-Agnostic Meta-Learning (EG-MAML) algorithm for robust and adaptive solutions. EG-MAML enables the system to rapidly learn from minimal data, optimizing medical decision-making and preventive actions in dynamic health scenarios. The model integrates genetic algorithms with deep learning to enhance the adaptability of first aid protocols, tailoring responses to individual health conditions and real-time physiological data. This innovation not only aids in timely interventions during emergencies but also proactively identifies potential health risks, ensuring early detection and personalized prevention strategies. By utilizing an intelligent system like EG-MAML, the virtual first aid box becomes a versatile tool, contributing to public health resilience and improving individual well-being through cutting-edge machine learning techniques.
Article Details
How to Cite
CHOLISSODIN, Imam; SHAMPTON, Achmad; SOEBROTO, Arief Andy.
Enhanced Virtual First Aid Box to Prevent and Rescue in Body Health Using Deep Extreme Genetic Model-Agnostic Meta-Learning (EG-MAML) Algorithm.
Proceedings of the International Conference on Green Technology, [S.l.], v. 14, n. 1, dec. 2024.
ISSN 2580-7099.
Available at: <https://conferences.uin-malang.ac.id/index.php/ICGT/article/view/3223>. Date accessed: 07 feb. 2026.
Section
Technology Information
References
[1] Smith J and Johnson A 2020 First Aid and Emergency Response Systems (Springer)
[2] Patel M 2021 AI-driven personal healthcare systems IEEE Trans. Med. Technol. 45 143–51
[3] Lee P 2019 Preventive healthcare using AI technologies Healthc. Innov. 12 23–8
[4] Chen K and others 2019 Real-time health monitoring systems: A review IEEE Access 7 112
[5] Zhang F and Moore L 2020 AI-driven solutions for real-time health systems AI Med. Innov. 11 98–102
[6] Morris D and Cook S 2022 AI in personalized healthcare and emergency response J. Med. Syst. 46
[7] Gupta A and Singh R 2021 Meta-learning in healthcare applications IEEE Comput. Intell. Mag. 16 64–72
[8] Sharma P 2022 The impact of AI and machine learning in health management systems IEEE Rev. Med. Electron. 14 44–55
[9] Williams J 2022 Hybrid learning models for healthcare systems AI Health Appl. 18 29–35
[10] Zhao X and Wang L 2019 Deep learning for physiological signal analysis IEEE Engineering in Medicine and Biology Society (EMBC) pp 11–7
[11] Nguyen L and others 2021 Deep learning in personalized medicine: A systematic review IEEE Trans. Biomed. Eng. 68 67–80
[12]Kim M and others 2020 Genetic algorithm optimization in healthcare systems Int. J. Med. Inf. 67 102–8
[13]Anderson T 2020 Model-agnostic meta-learning for medical applications International Conference on Learning Representations (ICLR)
[14]Brown A 2021 Machine learning in healthcare diagnostics Comput. Med. Syst. 45 33–40
[15]Zhang Y and Li P 2022 MAML for adaptive healthcare systems IEEE Trans. Knowl. Data Eng. 35 1233–41
[16]Zhao F 2021 Adaptive AI-driven first aid systems IEEE Technol. Med. 15 88–95
[17]Gomez H and Patel R 2022 Personalized healthcare models using meta-learning J. AI Res. Med. 19 55–60
[18]Turner C 2020 AI-driven rapid response systems in healthcare Int. J. Health Med. 13 210–5
[19]Larson A and Davis M 2021 Data-efficient learning in healthcare IEEE Comput. Med. Sci. 43 118–25
[20]Smith A 2021 Advanced digital technologies in healthcare IEEE Trans. Healthc. Syst. 35 210–5
[21]Chee M L, Chee M L, Huang H, Mazzochi K, Taylor K, Wang H, Feng M, Ho A F W, Siddiqui F J, Ong M E H and Liu N 2023 Artificial intelligence and machine learning in prehospital emergency care: A scoping review iScience 26 107407
[22]Elbaşı E 2020 B-DCT based Watermarking Algorithm for Patient Data Protection in IoMT
[23]Superadmin 2018 Topik Kesehatan - Pentingnya P3K Selama Mudik Lebaran Dir. Promosi Kesehat. Kementeri. Kesehat. RI
[24]Anon 2018 Ketahui Isi Kotak P3K yang Wajib Dimiliki Alodokter
[25]Tan M 2020 API-driven microservice development for hospital systems in Indonesia Procedia Comput. Sci. 178 56–63
[26]Anderson K 2021 AI-enhanced healthcare recommendations for emergency systems IEEE Internet Things J. 9 3145–52
[27]Rahman D and Wang F 2020 Artificial intelligence for personalized healthcare in emergency management IEEE Trans. Comput. Healthc. 17 210–8
[28]Kumar S 2019 Virtual IoT applications in healthcare monitoring systems IEEE Trans. Med. Syst. 12 66–72
[29]Brown J 2020 API-based service integration in hospital management systems IEEE Access 7 56323–30
[30] Smith T 1994 Pertolongan Pertama : Dokter di Rumah Anda (Dian Rakyat)
[31] Jacob S 2008 Chapter 1 - What is anatomy? Human Anatomy ed S Jacob (Churchill Livingstone) pp 1–3
[32] Jamalulel Ubab A, Tafsir Surat Al-Baqarah Ayat 168-169: Pentingnya Memilih Makan Halal dan Sehat, NU Online
[33] Khoiron M, Berobat dalam Pandangan Islam, NU Online
[34] Cholissodin I, Muflikhah L, Sutrisno, Soebroto A A, Nagara A Y, Nova R, Ebtavanny T G and Fareza Z A N A 2023 Optimization of Drug Design Composition by Hybrid Islamic and Evolutionary Medicine for Covid-19 and Its New Variants Using Geometric Time Variants Extreme Genetic Algorithm 12th International Conference on Green Technology (ICGT 2022) (Atlantis Press) pp 368–77
[2] Patel M 2021 AI-driven personal healthcare systems IEEE Trans. Med. Technol. 45 143–51
[3] Lee P 2019 Preventive healthcare using AI technologies Healthc. Innov. 12 23–8
[4] Chen K and others 2019 Real-time health monitoring systems: A review IEEE Access 7 112
[5] Zhang F and Moore L 2020 AI-driven solutions for real-time health systems AI Med. Innov. 11 98–102
[6] Morris D and Cook S 2022 AI in personalized healthcare and emergency response J. Med. Syst. 46
[7] Gupta A and Singh R 2021 Meta-learning in healthcare applications IEEE Comput. Intell. Mag. 16 64–72
[8] Sharma P 2022 The impact of AI and machine learning in health management systems IEEE Rev. Med. Electron. 14 44–55
[9] Williams J 2022 Hybrid learning models for healthcare systems AI Health Appl. 18 29–35
[10] Zhao X and Wang L 2019 Deep learning for physiological signal analysis IEEE Engineering in Medicine and Biology Society (EMBC) pp 11–7
[11] Nguyen L and others 2021 Deep learning in personalized medicine: A systematic review IEEE Trans. Biomed. Eng. 68 67–80
[12]Kim M and others 2020 Genetic algorithm optimization in healthcare systems Int. J. Med. Inf. 67 102–8
[13]Anderson T 2020 Model-agnostic meta-learning for medical applications International Conference on Learning Representations (ICLR)
[14]Brown A 2021 Machine learning in healthcare diagnostics Comput. Med. Syst. 45 33–40
[15]Zhang Y and Li P 2022 MAML for adaptive healthcare systems IEEE Trans. Knowl. Data Eng. 35 1233–41
[16]Zhao F 2021 Adaptive AI-driven first aid systems IEEE Technol. Med. 15 88–95
[17]Gomez H and Patel R 2022 Personalized healthcare models using meta-learning J. AI Res. Med. 19 55–60
[18]Turner C 2020 AI-driven rapid response systems in healthcare Int. J. Health Med. 13 210–5
[19]Larson A and Davis M 2021 Data-efficient learning in healthcare IEEE Comput. Med. Sci. 43 118–25
[20]Smith A 2021 Advanced digital technologies in healthcare IEEE Trans. Healthc. Syst. 35 210–5
[21]Chee M L, Chee M L, Huang H, Mazzochi K, Taylor K, Wang H, Feng M, Ho A F W, Siddiqui F J, Ong M E H and Liu N 2023 Artificial intelligence and machine learning in prehospital emergency care: A scoping review iScience 26 107407
[22]Elbaşı E 2020 B-DCT based Watermarking Algorithm for Patient Data Protection in IoMT
[23]Superadmin 2018 Topik Kesehatan - Pentingnya P3K Selama Mudik Lebaran Dir. Promosi Kesehat. Kementeri. Kesehat. RI
[24]Anon 2018 Ketahui Isi Kotak P3K yang Wajib Dimiliki Alodokter
[25]Tan M 2020 API-driven microservice development for hospital systems in Indonesia Procedia Comput. Sci. 178 56–63
[26]Anderson K 2021 AI-enhanced healthcare recommendations for emergency systems IEEE Internet Things J. 9 3145–52
[27]Rahman D and Wang F 2020 Artificial intelligence for personalized healthcare in emergency management IEEE Trans. Comput. Healthc. 17 210–8
[28]Kumar S 2019 Virtual IoT applications in healthcare monitoring systems IEEE Trans. Med. Syst. 12 66–72
[29]Brown J 2020 API-based service integration in hospital management systems IEEE Access 7 56323–30
[30] Smith T 1994 Pertolongan Pertama : Dokter di Rumah Anda (Dian Rakyat)
[31] Jacob S 2008 Chapter 1 - What is anatomy? Human Anatomy ed S Jacob (Churchill Livingstone) pp 1–3
[32] Jamalulel Ubab A, Tafsir Surat Al-Baqarah Ayat 168-169: Pentingnya Memilih Makan Halal dan Sehat, NU Online
[33] Khoiron M, Berobat dalam Pandangan Islam, NU Online
[34] Cholissodin I, Muflikhah L, Sutrisno, Soebroto A A, Nagara A Y, Nova R, Ebtavanny T G and Fareza Z A N A 2023 Optimization of Drug Design Composition by Hybrid Islamic and Evolutionary Medicine for Covid-19 and Its New Variants Using Geometric Time Variants Extreme Genetic Algorithm 12th International Conference on Green Technology (ICGT 2022) (Atlantis Press) pp 368–77