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Call for Papers:Vol.11 Issue.3

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Title: :  A Medical Decision Support System to Identify the Mortality Rates using ML
PaperId: :  23983
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-23983
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Deepthi NVidya Vikas Institute Of Engineering And Technology
Sushmitha V DundaraddiVidya Vikas Institute Of Engineering And Technology
Sandeep Kumar LVidya Vikas Institute Of Engineering And Technology
Jyothsna AVidya Vikas Institute Of Engineering And Technology
Subhash K NVidya Vikas Institute Of Engineering And Technology

Abstract

Information Science And Engineering
Data Science, Machine Learning, Association Learning, Mortality Rates, Visual Studio, SQL Server
Patient mortality is a common occurrence in hospitals due to various factors, including the availability of resources, medical staff, and facilities. The rising rate of patient deaths is a significant concern, influenced by diseases, insufficient medical resources, and inadequate healthcare services. To address this challenge, we propose a system that automatically identifies the factors contributing to mortality rates. Our project aims to demonstrate the association between mortality and healthcare services using the ECLAT algorithm. The system will analyze the relationship between hospital resources and mortality rates using Microsoft technologies, considering parameters such as specialists, beds, ICU facilities, and nursing staff. Efficient machine learning algorithms will be employed to identify critical factors influencing mortality rates, utilizing "Visual Studio" for the front end and "SQL Server" for the backend due to their robust library and tool support for real time applications.

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IJARIIE Deepthi N, Sushmitha V Dundaraddi, Sandeep Kumar L, Jyothsna A, and Subhash K N. "A Medical Decision Support System to Identify the Mortality Rates using ML" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 2503-2507
MLA Deepthi N, Sushmitha V Dundaraddi, Sandeep Kumar L, Jyothsna A, and Subhash K N. "A Medical Decision Support System to Identify the Mortality Rates using ML." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 2503-2507.
APA Deepthi N, Sushmitha V Dundaraddi, Sandeep Kumar L, Jyothsna A, & Subhash K N. (2024). A Medical Decision Support System to Identify the Mortality Rates using ML. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 2503-2507.
Chicago Deepthi N, Sushmitha V Dundaraddi, Sandeep Kumar L, Jyothsna A, and Subhash K N. "A Medical Decision Support System to Identify the Mortality Rates using ML." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 2503-2507.
Oxford Deepthi N, Sushmitha V Dundaraddi, Sandeep Kumar L, Jyothsna A, and Subhash K N. 'A Medical Decision Support System to Identify the Mortality Rates using ML', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 2503-2507. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Medical_Decision_Support_System_to_Identify_the_Mortality_Rates_using_ML_ijariie23983.pdf (Accessed : 24 August 2024).
Harvard Deepthi N, Sushmitha V Dundaraddi, Sandeep Kumar L, Jyothsna A, and Subhash K N. (2024) 'A Medical Decision Support System to Identify the Mortality Rates using ML', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 2503-2507IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Medical_Decision_Support_System_to_Identify_the_Mortality_Rates_using_ML_ijariie23983.pdf (Accessed : 24 August 2024)
IEEE Deepthi N, Sushmitha V Dundaraddi, Sandeep Kumar L, Jyothsna A, and Subhash K N, "A Medical Decision Support System to Identify the Mortality Rates using ML," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 2503-2507, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Medical_Decision_Support_System_to_Identify_the_Mortality_Rates_using_ML_ijariie23983.pdf [Accessed : 24 August 2024].
Turabian Deepthi N, Sushmitha V Dundaraddi, Sandeep Kumar L, Jyothsna A, and Subhash K N. "A Medical Decision Support System to Identify the Mortality Rates using ML." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 (24 August 2024).
Vancouver Deepthi N, Sushmitha V Dundaraddi, Sandeep Kumar L, Jyothsna A, and Subhash K N. A Medical Decision Support System to Identify the Mortality Rates using ML. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 24 August 2024]; 10(3) : 2503-2507. Available from: https://ijariie.com/AdminUploadPdf/A_Medical_Decision_Support_System_to_Identify_the_Mortality_Rates_using_ML_ijariie23983.pdf
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