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Boyko A.N.

Pirogov Russian National Research Medical University;
Federal Center of Brain Research and Neurotechnologies of the Federal Medical Biological Agency

Pliskunova Yu.V.

Novartis Pharma

Taraskin O.V.

Novartis Pharma

Paleeva A.G.

Semantic Hub SARL

Efimenko I.V.

Semantic Hub LLC

Khoroshevskiy V.F.

Federal Research Center «Computer Science and Management»

What worries people with multiple sclerosis in Russia? Semantic analysis of patient messages using artificial intelligence tools

Authors:

Boyko A.N., Pliskunova Yu.V., Taraskin O.V., Paleeva A.G., Efimenko I.V., Khoroshevskiy V.F.

More about the authors

Journal: S.S. Korsakov Journal of Neurology and Psychiatry. 2022;122(7‑2): 78‑83

DOI: 10.17116/jnevro202212207278

Read: 1632 times

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Table of contents

WHAT WORRIES PEOPLE WITH MULTIPLE SCLEROSIS IN RUSSIA? SEMANTIC ANALYSIS OF PATIENT MESSAGES USING ARTIFICIAL INTELLIGENCE TOOLS
WHAT WORRIES PEOPLE WITH MULTIPLE SCLEROSIS IN RUSSIA? SEMANTIC ANALYSIS OF PATIENT MESSAGES USING ARTIFICIAL INTELLIGENCE TOOLS

To cite this article:

Boyko AN, Pliskunova YuV, Taraskin OV, Paleeva AG, Efimenko IV, Khoroshevskiy VF. What worries people with multiple sclerosis in Russia? Semantic analysis of patient messages using artificial intelligence tools. S.S. Korsakov Journal of Neurology and Psychiatry. 2022;122(7‑2):78‑83. (In Russ.)
https://doi.org/10.17116/jnevro202212207278

Подписка 2026 Журнал неврологии и психиатрии им. С.С. Корсакова. Спецвыпуски (S.S. Korsakov Journal of Neurology and Psychiatry (special issues))
 
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Использование инфографики авторами научных работ
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Abstract:

OBJECTIVE

To study the needs of patients suffering from multiple sclerosis (MS) in Russia.

MATERIAL AND METHODS

The technologies of Big Data analysis and intelligent processing of unstructured information (semantic analysis of natural language texts), developed by Semantic Hub were used. Semantic Hub platform scans digital environment to connect to the sources of interest and to collect data of potential interest (i.e. texts generated by patients and their caregivers, in anonymized form). As the next step, each text is analyzed using natural language understanding technologies to build the knowledge base with aggregated data.

RESULTS

The semantic analysis of natural language texts made it possible to describe virtual population of Russian patients with MS and their caregivers on the Web: age, gender, regions of residence, movements, key Web resources for getting information and communicating with each other, insights about medical care and the quality of life of patients with MS.

CONCLUSIONS

In addition to doctors’ recommendations, today the patient can get information from various sources, including other patients with MS. This trend requires attention of medical community: it is necessary to help patients get reliable information about the disease, and methods of therapy. Doctor-to-patient communication on the Web should be widely discussed to develop effective and ethical approaches.

Keywords:

semantic analysis of texts
multiple sclerosis
quality of life
artificial intelligence tools

Authors:

Boyko A.N.

Pirogov Russian National Research Medical University;
Federal Center of Brain Research and Neurotechnologies of the Federal Medical Biological Agency

Pliskunova Yu.V.

Novartis Pharma

Taraskin O.V.

Novartis Pharma

Paleeva A.G.

Semantic Hub SARL

Efimenko I.V.

Semantic Hub LLC

Khoroshevskiy V.F.

Federal Research Center «Computer Science and Management»

Received:

22.05.2022

Accepted:

30.05.2022

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References:

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