Predictive Healthcare: Applying Machine Learning to Patient Outcome Forecasting

Authors: Ravi Kumar Perumallapalli

Country: USA

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Abstract: Forecasting patient outcomes is expected to significantly improve with the use of machine learning in the healthcare industry. This work applies cutting-edge machine learning algorithms to reliably forecast patient outcomes, addressing the crucial demand for predictive analytics in healthcare. This research is important because it has the potential to improve patient care, optimize resource allocation, and strengthen clinical decision-making. Among our novel contributions has been the creation of dynamic prediction models that predict patient trajectories and outcomes by utilizing large amounts of healthcare data. These models use machine learning to deliver timely insights into patient health, allowing for more preemptive interventions and improved management of healthcare resources.Numerous researches have shown how well machine learning works for predicting healthcare outcomes. The introduction of ML approaches to patient data analysis for early disease identification and prevention is demonstrated. A critical analysis of the difficulties and possibilities in creating dynamic and precise predictive models is provided. Furthermore, outline the major developments in clinical informatics and show how machine learning is changing the way healthcare decisions are made. For example, A used deep learning to predict healthcare trajectories from medical data, while a used machine learning to forecast high-cost, high-need patient expenditures.

Keywords: Personalized Medicine, Deep Learning, Hospital Readmissions, Postoperative Complications, Intensive Care, Machine Learning, Predictive Healthcare, Patient Outcome Forecasting, Clinical Data, Predictive Analytics, and Mortality Risk in the context of Healthcare Resource Optimization.

Paper Id: 231509

Published On: 2018-01-10

Published In: Volume 6, Issue 1, January-February 2018

Cite This: Predictive Healthcare: Applying Machine Learning to Patient Outcome Forecasting - Ravi Kumar Perumallapalli - IJIRMPS Volume 6, Issue 1, January-February 2018.

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