Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
Artificial intelligence use for early signs of illness detection in the elderly age. / Щеголева, Надежда Львовна; Богданов, Александр Владимирович; Залуцкая, Н.М.; Екимов, Александр Валерьевич.
в: Physics of Particles and Nuclei, 10.2023.Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
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TY - JOUR
T1 - Artificial intelligence use for early signs of illness detection in the elderly age
AU - Щеголева, Надежда Львовна
AU - Богданов, Александр Владимирович
AU - Залуцкая, Н.М.
AU - Екимов, Александр Валерьевич
N1 - Conference code: 10
PY - 2023/10
Y1 - 2023/10
N2 - Joint processing of six types of indirect diagnostics of patients would allow us to determine biomarkers, which are associated with Alzheimer's disease, which is a classic task of “Big Data" processing. To obtain valid results, all fields must be completed to perform statistical analysis to avoid misdiagnosis. But medical history data refer to personal data, and information on such diseases can be very sensitive, so their processing should be as closed as possible for external actors and carried out in an isolated protected environment.
AB - Joint processing of six types of indirect diagnostics of patients would allow us to determine biomarkers, which are associated with Alzheimer's disease, which is a classic task of “Big Data" processing. To obtain valid results, all fields must be completed to perform statistical analysis to avoid misdiagnosis. But medical history data refer to personal data, and information on such diseases can be very sensitive, so their processing should be as closed as possible for external actors and carried out in an isolated protected environment.
M3 - Conference article
JO - Physics of Particles and Nuclei
JF - Physics of Particles and Nuclei
SN - 1063-7796
Y2 - 3 July 2023 through 7 July 2023
ER -
ID: 114280434