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DIAGNOSTIC SYSTEMS FOR EARLY DETECTION OF DISEASES

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dc.contributor.authorAbdukadirov Nuriddin
dc.date.accessioned2025-12-29T12:12:01Z
dc.date.issued2025-03-10
dc.description.abstractThe integration of modern technology into healthcare has revolutionized the early detection of diseases, improving patient outcomes and reducing healthcare costs. This article explores diagnostic systems that leverage artificial intelligence, machine learning, the Internet of Things (IoT), and big data analytics to enhance early disease detection. The study highlights various applications, including cancer detection, cardiovascular disease prediction, diabetes management, and neurological disorder diagnosis. Challenges and future prospects of these technologies are also discussed, providing insights into the role of innovative diagnostic systems in modern medicine.
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dc.identifier.urihttps://westerneuropeanstudies.com/index.php/1/article/view/2158
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/18424
dc.language.isoeng
dc.publisherWestern European Studies
dc.relationhttps://westerneuropeanstudies.com/index.php/1/article/view/2158/1482
dc.rightsCopyright (c) 2025 Western European Journal of Modern Experiments and Scientific Methods
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceWestern European Journal of Modern Experiments and Scientific Methods; Vol. 3 No. 03 (2025): WEJMESM; 10-14
dc.source2942-1896
dc.subjectDiagnostic systems
dc.subjectearly disease detection
dc.subjectartificial intelligence
dc.titleDIAGNOSTIC SYSTEMS FOR EARLY DETECTION OF DISEASES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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