Articles
| Open Access | ARTIFICIAL INTELLIGENCE AND DIGITAL BIOMARKERS IN THE EARLY DIAGNOSIS AND PREDICTION OF PARKINSON’S DISEASE: A SYSTEMATIC REVIEW (2020–2025)
Atakhanov Sanjarbek Anvarovich,Abduraimova Jasmina Dilmurodovna,Mashrabjonova Marjona Davranbekovna , Fergana Medical Institute of Public Health Department of “Biomedical Engineering, Biophysics and Information Technologies” Assistant Lecturer,Student, 1st year, Faculty of General Medicine Fergana Medical Institute of Public Health Uzbekistan,Student, 1st year, Faculty of General Medicine Fergana Medical Institute of Public Health UzbekistanAbstract
According to data from the STADA Health Report 2023, the disease that people in Uzbekistan fear the most is Parkinson's disease. This disease causes concern among 23% of the country’s population. These fears are not unfounded, as the disease is considered the second most common neurodegenerative disorder worldwide.
Parkinson’s disease is a condition caused by a deficiency of dopamine-producing neurons in the substantia nigra, which manifests itself through movement disorders.
This article presents various methods of applying artificial intelligence and digital biomarkers for the diagnosis of Parkinson’s disease. It discusses the possibility of early diagnosis of Parkinson’s disease using artificial intelligence methods.
The paper proposes an approach for detecting the disease using video analysis of a patient’s smile as a digital biomarker, an artificial intelligence model for diagnosing Parkinson’s disease based on frequency anomalies in electroencephalography (EEG), and automatic early detection of Parkinson’s disease through the analysis of acoustic signals using classification algorithms based on the Recursive Feature Elimination (RFE) method.
Keywords
Parkinson’s disease, neurodegenerative disorders, artificial intelligence, digital biomarkers, early diagnosis, smile video analysis, electroencephalography (EEG), frequency anomalies, dopamine-producing neurons, substantia nigra, motor impairments, neuroimaging, biochemical markers, genetic markers, gut microbiota, comprehensive biomarker analysis, STADA Health Report 2023, Uzbekistan.
References
Anvarovich, A. S. (2025). THE ROLE OF MODERN COMPUTER TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN THE FIELD OF MEDICAL PREVENTION. SHOKH LIBRARY, 1(13).
Anvarovich, A. S., & Islamiddin, Y. (2025). THE ESSENCE AND FUNCTIONS OF IT AND ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL PRODUCTION. SHOKH LIBRARY, 1(13).
Anvarbekovich, A. S. (2025). “GEMOFILIYA” KASALLIGINI ANIQLASH VA DAVOLASHDA ZAMONAVIY KOMPYUTER TEXNOLOGIYALARINING O ‘RNI. EDUCATION AND SCIENCE YESTERDAY AND TODAY, 1(1).
Atakhonov, S., & Turobova, F. (2025, November). THE ROLE OF MODERN COMPUTER TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS AND TREATMENT OF CHILDREN’S DISEASES. In International Conference on Medicine & Agriculture (Vol. 1, No. 1, pp. 92-95).
Anvarovich, A. S. (2025). DAUN SINDROMINI ANIQLASH VA NAZORAT QILISHDA ZAMONAVIY KOMPUYUTERLAR O’RNI. Научный Импульс, 4(39), 223-227.
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