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Paper Title

Artificial Intelligence in Disease Prediction: Transforming Early Diagnosis and Preventive Healthcare

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Registration ID: IJNRD_304093

Published ID: IJNRD2405839

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Keywords

Artificial Intelligence, Disease Prediction, Machine Learning, Healthcare, Big Data, Preventive Medicine

Abstract

The rapid advancement of Artificial Intelligence (AI) in healthcare has revolutionized disease prediction, early diagnosis, and preventive medicine. Traditional methods of disease detection often rely on subjective assessments and late-stage symptoms, leading to delayed treatment and increased mortality rates. AI, through machine learning (ML) algorithms, deep learning networks, and big data analytics, is enhancing diagnostic accuracy by identifying patterns in vast medical datasets. This paper explores how AI is transforming disease prediction across various fields, including oncology, cardiology, endocrinology, and neurology. AI-driven models such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Support Vector Machines (SVMs) are significantly improving early detection rates of cancer, heart disease, diabetes, and mental health disorders. Moreover, AI-powered predictive analytics from electronic health records (EHRs), wearable devices, and genomic sequencing are enabling healthcare professionals to make data-driven decisions for personalized treatment plans. Despite its potential, AI in disease prediction faces challenges such as algorithmic bias, data privacy concerns, and ethical implications regarding decision-making autonomy. This paper examines recent advancements in AI-based disease prediction, its clinical applications, ethical considerations, and future prospects. The findings highlight how AI is shaping the future of precision medicine, reducing healthcare costs, and improving patient outcomes through early disease detection and preventive care strategies.

How To Cite (APA)

Rishi Reddy Kothinti (May 2024). Artificial Intelligence in Disease Prediction: Transforming Early Diagnosis and Preventive Healthcare. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), I330-I340. https://ijnrd.org/papers/IJNRD2405839.pdf

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Other Publication Details

Paper Reg. ID: IJNRD_304093

Published Paper Id: IJNRD2405839

Research Area: Pharmacy All

Author Type: Indian Author

Country: Bangalore (Bengaluru), Kamataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405839.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405839

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