Year: 2024
Type: article
Abstract: In contemporary times, the prevalence of diverse diseases is exacerbated by environmental factors and lifestyle choices.Timely identification and prediction of these ailments during their nascent stages are imperative to mitigate their severity.However, manual diagnosis by healthcare experts is often difficult, emphasizing the importance of utilizing sophisticated technologies.With the increased implementation of Electronic Health Records, the incorporation of Machine Learning (ML) models becomes vital for early disease diagnosis.This research introduces "Diagnostix," a comprehensive web application designed for the multifaceted prediction of various diseases.Diagnostix integrates a sophisticated amalgamation of hard-coded logic, ML models, and Deep Learning (DL) models.The application demonstrates unparalleled accuracy in predicting diseases such as diabetes, anemia, malaria, and Alzheimer's.Notably, Diagnostix emphasizes the early detection of diseases, offering the capability to identify multiple ailments through a singular body scan.For instance, the system performs exceptionally well when utilizing a single MRI scan to simultaneously detect illnesses such as brain tumors and Alzheimer's disease.
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4402742034