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Call for Papers:Vol.11 Issue.3

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Title: :  MLOps in health care: Enhancing Operational Excellence and Improving Patient Outcomes
PaperId: :  20812
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20812
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Muskan Chopra Global Institute Of Technology - [GIT], Jaipur, Rajasthan, India
Kush Global Institute Of Technology - [GIT], Jaipur, Rajasthan, India

Abstract

Computer Engineering
MLOps (Machine Learning Operations), Medical industry, Health care delivery, ML models (Machine Learning models), Data management, Model deployment, Regulatory standards, Ethical considerations, Patient outcomes, Resource allocation, Predictive analytics, Algorithm development, Real-time monitoring, Data privacy, Clinical decision support, Health care providers, Performance metrics, Work flow optimization, Quality improvement, Risk assessment
This paper explores the role of MLOps (Machine Learning Operations) in the medical industry and its impact on health care delivery. It emphasizes the need for a robust operational framework to successfully deploy and manage ML models in real-world health care settings. MLOps provides a systematic approach to streamline the development, deployment, monitoring, and maintenance of ML models, ensuring their reliability, scalability, and compliance with regulatory standards. The paper discusses the challenges faced by health care organizations in implementing ML models and how MLOps addresses these challenges. It also examines key components of an MLOps framework, such as data management, model versioning, reproducibility, and model performance monitoring. Case studies are presented to demonstrate the benefits of MLOps in improving patient outcomes, optimizing resource allocation, and reducing health care costs. Ethical considerations and potential risks associated with MLOps in the medical domain are discussed, emphasizing the importance of responsible and transparent deployment of ML models. Overall, the paper provides a comprehensive overview of MLOps in the medical industry and its trans-formative potential for enhancing health care delivery.

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IJARIIE Muskan Chopra, and Kush. "MLOps in health care: Enhancing Operational Excellence and Improving Patient Outcomes" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 4078-4083
MLA Muskan Chopra, and Kush. "MLOps in health care: Enhancing Operational Excellence and Improving Patient Outcomes." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 4078-4083.
APA Muskan Chopra, & Kush. (2023). MLOps in health care: Enhancing Operational Excellence and Improving Patient Outcomes. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 4078-4083.
Chicago Muskan Chopra, and Kush. "MLOps in health care: Enhancing Operational Excellence and Improving Patient Outcomes." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 4078-4083.
Oxford Muskan Chopra, and Kush. 'MLOps in health care: Enhancing Operational Excellence and Improving Patient Outcomes', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 4078-4083. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/MLOps_in_health_care__Enhancing_Operational_Excellence_and_Improving_Patient_Outcomes_ijariie20812.pdf (Accessed : ).
Harvard Muskan Chopra, and Kush. (2023) 'MLOps in health care: Enhancing Operational Excellence and Improving Patient Outcomes', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 4078-4083IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/MLOps_in_health_care__Enhancing_Operational_Excellence_and_Improving_Patient_Outcomes_ijariie20812.pdf (Accessed : )
IEEE Muskan Chopra, and Kush, "MLOps in health care: Enhancing Operational Excellence and Improving Patient Outcomes," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 4078-4083, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/MLOps_in_health_care__Enhancing_Operational_Excellence_and_Improving_Patient_Outcomes_ijariie20812.pdf [Accessed : ].
Turabian Muskan Chopra, and Kush. "MLOps in health care: Enhancing Operational Excellence and Improving Patient Outcomes." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 ().
Vancouver Muskan Chopra, and Kush. MLOps in health care: Enhancing Operational Excellence and Improving Patient Outcomes. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(3) : 4078-4083. Available from: https://ijariie.com/AdminUploadPdf/MLOps_in_health_care__Enhancing_Operational_Excellence_and_Improving_Patient_Outcomes_ijariie20812.pdf
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