Data Science in Healthcare Leveraging AI for Predictive Analytics and Personalized Patient Care
Cover
PDF

Keywords

Data Science
Healthcare
Artificial Intelligence
Predictive Analytics

How to Cite

[1]
M. Raparthi, S. Maruthi, Surendranadha Reddy Byrapu Reddy, P. Thunki, P. Ravichandran, and S. Babu Dodda, “Data Science in Healthcare Leveraging AI for Predictive Analytics and Personalized Patient Care”, Journal of AI in Healthcare and Medicine, vol. 2, no. 2, pp. 1–11, Dec. 2022, Accessed: Dec. 22, 2024. [Online]. Available: https://healthsciencepub.com/index.php/jaihm/article/view/17

Abstract

Data science and artificial intelligence (AI) have revolutionized healthcare by enabling predictive analytics and personalized patient care. This paper explores the pivotal role of data science and AI in healthcare, emphasizing predictive analytics and personalized patient care to enhance health outcomes. The integration of these technologies facilitates proactive and individualized treatment strategies, improving patient outcomes and reducing healthcare costs. This paper discusses the current landscape, challenges, and future prospects of data science and AI in healthcare, highlighting the transformative potential of these technologies.

PDF

References

Venigandla, Kamala, and Venkata Manoj Tatikonda. "Improving Diagnostic Imaging Analysis with RPA and Deep Learning Technologies." Power System Technology 45.4 (2021).

Vemuri, Navya, and Kamala Venigandla. "Autonomous DevOps: Integrating RPA, AI, and ML for Self-Optimizing Development Pipelines." Asian Journal of Multidisciplinary Research & Review 3.2 (2022): 214-231.

Palle, Ranadeep Reddy. "The convergence and future scope of these three technologies (cloud computing, AI, and blockchain) in driving transformations and innovations within the FinTech industry." Journal of Artificial Intelligence and Machine Learning in Management 6.2 (2022): 43-50.

Palle, Ranadeep Reddy. "Discuss the role of data analytics in extracting meaningful insights from social media data, influencing marketing strategies and user

engagement." Journal of Artificial Intelligence and Machine Learning in Management 5.1 (2021): 64-69.

Palle, Ranadeep Reddy. "Compare and contrast various software development methodologies, such as Agile, Scrum, and DevOps, discussing their advantages, challenges, and best practices." Sage Science Review of Applied Machine Learning 3.2 (2020): 39-47.

Downloads

Download data is not yet available.