Paper Key : IRJ************177
Author: Neha Yadav,Brahmos Ryan Sharma,V Preetham,Derrick T
Date Published: 02 May 2024
Abstract
Diagnify Pro, an innovative web application revolutionizing disease diagnosis through the power of machine learning. Tailored for healthcare professionals, Diagnify Pro predicts the presence of various diseases, including Malaria, Pneumonia, Diabetes, Cancer and more, by analyzing laboratory test parameters. There is a pronounced global demand for effective disease diagnosis, driven by the complex nature of disease mechanisms and the varied symptoms exhibited by patients. This review delves into the utilization of machine learning (ML), a subset of artificial intelligence (AI), to tackle these challenges and enable early disease detection. To begin, we conducted a bibliometric analysis using data sourced from Scopus and Web of Science (WOS) databases, examining 1216 publications. This analysis revealed prolific authors, nations, organizations, and highly cited articles in the field.Subsequent sections of this review offer a comprehensive exploration of the latest trends and methodologies in machine-learning-based disease diagnosis (MLBDD). Factors such as algorithms, disease categories, data types, applications, and evaluation metrics are considered. Furthermore, we introduce Diagnify Pro, an innovative web application that is reshaping disease diagnosis through the integration of machine learning. Tailored for healthcare professionals, Diagnify Pro predicts the presence of various diseases, including Malaria, Pneumonia, Diabetes, Cancer, and more, by analyzing laboratory test parameters
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