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Informative Article | Health and Medical Sciences | India | Volume 14 Issue 1, January 2025 | Popularity: 7.7 / 10
Prediction Modeling in Healthcare: Current Trends, Challenges, and Future Directions
Aastha Gidwani
Abstract: Predictive modeling is a sophisticated approach that utilizes advanced mathematical and computational strategies to anticipate future events or results. This method holds many applications in the field of medicine, yet its complete capabilities remain underutilized in this domain. Hence, it is essential to explore the advantages and limitations related to the application of predictive modeling in healthcare for a more thorough understanding of how this strategy can be utilized to enhance patient care. When executed effectively, predictive modeling has produced remarkable outcomes in numerous medical specialties. From forecasting the progression of diseases to identifying patients at high risk who need timely intervention, there are numerous instances of effective applications of this method in healthcare environments globally. Nevertheless, in spite of these successes, substantial obstacles persist for practitioners when trying to apply predictive models in real - world contexts. These challenges involve issues related to the quality and availability of data, as well as navigating the regulatory constraints regarding the use of sensitive patient information-factors that can hinder progress towards achieving the full potential of predictive modeling in improving health outcomes.
Keywords: predictive modeling; medicine; computational; models; forecast; future
Edition: Volume 14 Issue 1, January 2025
Pages: 5 - 7
DOI: https://www.doi.org/10.21275/SR241229182944
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