Timur Ishankulov
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Explore the profile of Timur Ishankulov including associated specialties, affiliations and a list of published articles.
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13
Citations
13
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Recent Articles
1.
Danilov G, Kotik K, Shevchenko E, Usachev D, Shifrin M, Strunina Y, et al.
Stud Health Technol Inform
. 2022 Jul;
295:555-558.
PMID: 35773934
In this study, we update the evaluation of the Russian GPT3 model presented in our previous paper in predicting the length of stay (LOS) in neurosurgery. We aimed to assess...
2.
Danilov G, Korolev V, Shifrin M, Ilyushin E, Maloyan N, Saada D, et al.
Stud Health Technol Inform
. 2022 Jun;
290:675-678.
PMID: 35673102
Gliomas are the most common neuroepithelial brain tumors, different by various biological tissue types and prognosis. They could be graded with four levels according to the 2007 WHO classification. The...
3.
Ishankulov T, Danilov G, Kotik K, Orlov Y, Shifrin M, Potapov A
Stud Health Technol Inform
. 2022 Jun;
290:263-267.
PMID: 35673014
Automated abstracts classification could significantly facilitate scientific literature screening. The classification of short texts could be based on their statistical properties. This research aimed to evaluate the quality of short...
4.
Ishankulov T, Grebenev F, Strunina U, Shekhtman O, Eliava S, Danilov G
Stud Health Technol Inform
. 2022 May;
294:470-474.
PMID: 35612124
Our study aimed to create a machine learning model to predict patients' functional outcomes after microsurgical treatment of unruptured intracranial aneurysms (UIA). Data on 615 microsurgically treated patients with UIA...
5.
Danilov G, Kotik K, Shevchenko E, Usachev D, Shifrin M, Strunina Y, et al.
Stud Health Technol Inform
. 2022 Jan;
289:156-159.
PMID: 35062115
Patients, relatives, doctors, and healthcare providers anticipate the evidence-based length of stay (LOS) prediction in neurosurgery. This study aimed to assess the quality of LOS prediction with the GPT3 language...
6.
Danilov G, Ishankulov T, Kosyrkova A, Shults M, Melchenko S, Tsukanova T, et al.
Stud Health Technol Inform
. 2022 Jan;
289:69-72.
PMID: 35062094
In this study, we tested the quality of the information extraction algorithm proposed by our group to detect pulmonary embolism (PE) in medical cases through sentence labeling. Having shown a...
7.
Ishankulov T, Danilov G, Pitskhelauri D, Titov O, Ogurtsova A, Buklina S, et al.
Stud Health Technol Inform
. 2022 Jan;
289:33-36.
PMID: 35062085
The possibility of postoperative speech dysfunction prediction in neurosurgery based on intraoperative cortico-cortical evoked potentials (CCEP) might provide a new basis to refine the criteria for the extent of intracerebral...
8.
Danilov G, Kotik K, Shifrin M, Strunina Y, Pronkina T, Tsukanova T, et al.
Stud Health Technol Inform
. 2022 Jan;
289:5-8.
PMID: 35062078
Our study aimed to compare the capability of different word embeddings to capture the semantic similarity of clinical concepts related to complications in neurosurgery at the level of medical experts....
9.
Danilov G, Shifrin M, Strunina Y, Ishankulov T, Zagidullin T, Makashova E, et al.
Stud Health Technol Inform
. 2021 Nov;
287:40-44.
PMID: 34795076
Implementing the best research principles initiates an important shift in clinical research culture, improving efficiency and the level of evidence obtained. In this article, we share our own view on...
10.
Danilov G, Ishankulov T, Kotik K, Orlov Y, Shifrin M, Potapov A
Stud Health Technol Inform
. 2021 May;
281:83-87.
PMID: 34042710
Automated text classification is a natural language processing (NLP) technology that could significantly facilitate scientific literature selection. A specific topical dataset of 630 article abstracts was obtained from the PubMed...