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All Journal Journal Electrical and Computer Experiences
Kirankumari Patil
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Library & Information Science

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A Review on Disease Prediction Using Artificial Intelligence Pallavi Patil; Kirankumari Patil
Journal Electrical and Computer Experiences Vol. 1 No. 1 (2023): January-June
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/ece.v1i1.8

Abstract

Artificial Intelligence (AI) can be used for disease prediction in various ways. AI can analyze medical images such as X-rays, MRI scans, CT scans, and mammograms to detect abnormalities and identify potential diseases. This can help in early detection and diagnosis of diseases such as cancer, cardiovascular disease, and neurological disorders. AI can analyze electronic health records (EHRs) to identify patterns and correlations in patient data. This can assist identify patients who are at risk of developing certain diseases and enable proactive intervention.AI can analyze data collected from wearable devices such as fitness trackers and smart watches to monitor health parameters such as heart rate, blood pressure, and sleep patterns. This can help identify early signs of diseases such as hypertension, diabetes, and sleep apnea.AI can analyze patient symptoms and medical history through natural language processing (NLP) to identify potential diseases. This can help healthcare professionals to make a more accurate diagnosis and recommend suitable treatments. Overall, AI has the latent to revolutionize disease prediction by enabling early detection and proactive intervention, which can mend patient outcomes and moderate healthcare costs.
A Review on Disease Prediction using Image Processing Pallavi Patil; Kirankumari Patil
Journal Electrical and Computer Experiences Vol. 1 No. 1 (2023): January-June
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/ece.v1i1.10

Abstract

With the fast growth of modern information technology, in both manufacturing and daily life, digital image processing has developed quickly. In the fields for recognition, medicine, and remote sensing, it makes an immeasurable impact. In this article, the fundamental idea of digital image processing has been explained, accompanied by one of the most recent scientific developments in four distinct domains and an overview and evaluation of the most widely used digital image processing technology. Finally, the document proposes a direction for the field's future development. In the future, it will focus more on AI algorithms and improve the logical structure to handle information more effectively. The fields of miniaturization, intelligence, and convenience are going to develop and expand the application arena of digital image processing through the use of simplified image algorithm.
Co-Authors Pallavi Patil