Standard

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.

In: Physics of Particles and Nuclei, 10.2023.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Щеголева, НЛ, Богданов, АВ, Залуцкая, НМ & Екимов, АВ 2023, 'Artificial intelligence use for early signs of illness detection in the elderly age', Physics of Particles and Nuclei.

APA

Щеголева, Н. Л., Богданов, А. В., Залуцкая, Н. М., & Екимов, А. В. (Accepted/In press). Artificial intelligence use for early signs of illness detection in the elderly age. Physics of Particles and Nuclei.

Vancouver

Щеголева НЛ, Богданов АВ, Залуцкая НМ, Екимов АВ. Artificial intelligence use for early signs of illness detection in the elderly age. Physics of Particles and Nuclei. 2023 Oct.

Author

Щеголева, Надежда Львовна ; Богданов, Александр Владимирович ; Залуцкая, Н.М. ; Екимов, Александр Валерьевич. / Artificial intelligence use for early signs of illness detection in the elderly age. In: Physics of Particles and Nuclei. 2023.

BibTeX

@article{165cbd11ff8a451197e1e29e2a88032f,
title = "Artificial intelligence use for early signs of illness detection in the elderly age",
abstract = "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.",
author = "Щеголева, {Надежда Львовна} and Богданов, {Александр Владимирович} and Н.М. Залуцкая and Екимов, {Александр Валерьевич}",
year = "2023",
month = oct,
language = "English",
journal = "Physics of Particles and Nuclei",
issn = "1063-7796",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
note = "null ; Conference date: 03-07-2023 Through 07-07-2023",
url = "https://indico.jinr.ru/event/3505/",

}

RIS

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