Prioritising Hospital Using ML

Urlaganti Basha

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Submission Last date	28-Jun-2025
Acceptance Status	In One Day
Paper Publish	In Two Days
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Title: :  Prioritising Hospital Using ML
PaperId: :  25080
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 5 2024
DUI:    16.0415/IJARIIE-25080
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Name	Author Institute
Urlaganti Basha	CMR University

Abstract

Research Area	Computer Engineering
KeyWord	The hospital environment in particular offers the most difficult resource allocation problem for healthcare systems, with demand often greatly exceeding capacity. Properly managing hospital resources, whether beds or the like, are crucial to drive better patient outcomes and unnecessary capacities otherwise a waste. One of the ways machine learning (ML) is solving this challenge is by incorporating real-time analytics and predictive modeling on data stored in historical formats. Therefore, the current study aimed at analyzing machine learning algorithms for hospital resource prioritization. We survey multiple methods, both supervised and unsupervised learning, as well as a number of reinforcement models; test these methods in the context of patient triage, staffing prediction, and resource optimization during peak loads like pandemics or natural disasters. The models are tested over several tasks based on their capacity to predict number of patient admissions, resource scarcity prediction, patient severity/ hospital capacity based treatment prioritization using Decision Trees and neural networks and SVM. Results. Machine learning improves decision-making processes by reducing wait times and more efficiently allocating resources to match room demand with the most adequate clinician/quirofano, therefore, predictive models generated by ML would lead us to tailor staff and equipment to patients needs. Yet realizing the promise of ML in hospitals is challenged by problems like data quality and integration with sewn-in hospital systems or requirements on interpretability for high-stakes medical decisions.
Abstract	Machine Learning (ML), Hospital Resource Allocation, Predictive Modeling, Bed Management, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Patient Triage, Predictive Staffing, Resource Utilization, Decision Trees, Neural Networks, Support Vector Machines (SVMs), Patient Admission Forecasting, Resource Shortages, Treatment Prioritization, Operational Efficiency, Pandemic Response, Healthcare Optimization, Data Quality and Integration, Interpretability in Medical Decisions.

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IJARIIE	Urlaganti Basha. "Prioritising Hospital Using ML" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 5 2024 Page 1321-1325
MLA	Urlaganti Basha. "Prioritising Hospital Using ML." International Journal Of Advance Research And Innovative Ideas In Education 10.5(2024) : 1321-1325.
APA	Urlaganti Basha. (2024). Prioritising Hospital Using ML. International Journal Of Advance Research And Innovative Ideas In Education, 10(5), 1321-1325.
Chicago	Urlaganti Basha. "Prioritising Hospital Using ML." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 5 (2024) : 1321-1325.
Oxford	Urlaganti Basha. 'Prioritising Hospital Using ML', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 5, 2024, p. 1321-1325. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Prioritising_Hospital_Using_ML_ijariie25080.pdf (Accessed : ).
Harvard	Urlaganti Basha. (2024) 'Prioritising Hospital Using ML', International Journal Of Advance Research And Innovative Ideas In Education, 10(5), pp. 1321-1325IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Prioritising_Hospital_Using_ML_ijariie25080.pdf (Accessed : )
IEEE	Urlaganti Basha, "Prioritising Hospital Using ML," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 5, pp. 1321-1325, Sep-Oct 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Prioritising_Hospital_Using_ML_ijariie25080.pdf [Accessed : ].
Turabian	Urlaganti Basha. "Prioritising Hospital Using ML." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 5 ().
Vancouver	Urlaganti Basha. Prioritising Hospital Using ML. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(5) : 1321-1325. Available from: https://ijariie.com/AdminUploadPdf/Prioritising_Hospital_Using_ML_ijariie25080.pdf

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