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ПросмотрПубликации сотрудников КФУ Scopus по теме "Machine learning"

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A machine learning approach to classification of drug reviews in Russian

Неизвестный автор (2018)

© 2017 IEEE. The automatic extraction of drug side effects from social media has gained popularity in pharmacovigilance. Information extraction methods tailored to medical subjects are essential for the task of drug ...
A Novel Hybrid Machine Learning Approach Using Deep Learning for the Prediction of Alzheimer Disease Using Genome Data

Alatrany A.; Hussain A.; Mustafina J.; Al-Jumeily D. (2021)

Genome-wide association studies are aimed at identifying associations between commonly occurring variations in a group of individuals and a phonotype, in which the Deoxyribonucleic acid is genotyped in the form of single ...
AI in Skin Cancer Detection

Al-Askar H.; Almurshedi R.; Mustafina J.; Al-Jumeily D.; Hussain A. (2021)

Skin cancer is classified as one of the most dangerous cancer. Malignant melanoma is one of the deadliest types of skin cancer. Early detection of malignant melanoma is essential for treatment, hence saving lives and can ...
An approach to automatical well logging depth matching with the use of statistical methods

Murtazin T.; Ismagilov A.; Nugumanova N.; Sudakov V. (2019)

© SGEM2019. The geological modeling is an actively developing area of petroleum geoscience. One of the limiting factors for geological modeling is the processing of input data, which is a routine process and can be ...
Applications of machine learning techniques for software engineering learning and early prediction of students’ performance

Alloghani M.; Al-Jumeily D.; Baker T.; Hussain A.; Mustafina J.; Aljaaf A. (2019)

© Springer Nature Singapore Pte Ltd. 2019. Educational data mining has been widely used to predict student performance and establish intervention strategies to improve that performance. Most studies have implemented machine ...
Automated detection of adverse drug reactions from social media posts with machine learning

Неизвестный автор (2018)

© Springer International Publishing AG 2018. Adverse drug reactions can have serious consequences for patients. Social media is a source of information useful for detecting previously unknown side effects from a drug since ...
Calibrating optical spectra using machine learning algorithms

Shakirov M.A. (2020)

© 2020, Kazan Federal University. All rights reserved. We suggest an approach using machine learning random forest algorithms to comparing and calibrating the results of calculations of transition energies in organic ...
Collaborative filtering approach in adaptive learning

Khadiev K.; Zulfat M.; Sidikov M. (2016)

© 2016,International Journal of Pharmacy and Technology. All rights reserved.Nowadays an adaptive approach in education is gaining in popularity. But what does this adaptive approach mean? Adaptive learning (also known as ...
Comprehensive analysis of applicability domains of QSPR models for chemical reactions

Rakhimbekova A.; Madzhidov T.I.; Nugmanov R.I.; Gimadiev T.R.; Baskin I.I.; Varnek A. (2020)

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Nowadays, the problem of the model’s applicability domain (AD) definition is an active research topic in chemoinformatics. Although many various AD definitions for ...
Computational intelligence technique for prediction of multiple sclerosis based on serum cytokines

Goyal M.; Khanna D.; Rana P.; Khaibullin T.; Martynova E.; Rizvanov A.; Khaiboullina S.; Baranwal M. (2019)

© 2019 Goyal, Khanna, Rana, Khaibullin, Martynova, Rizvanov, Khaiboullina and Baranwal. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution ...
Deep learning for ICD coding: Looking for medical concepts in clinical documents in english and in French

Неизвестный автор (2018)

© Springer Nature Switzerland AG 2018. Medical Concept Coding (MCD) is a crucial task in biomedical information extraction. Recent advances in neural network modeling have demonstrated its usefulness in the task of natural ...
Early Prediction of Chronic Kidney Disease Using Machine Learning Supported by Predictive Analytics

Aljaaf A.; Al-Jumeily D.; Haglan H.; Alloghani M.; Baker T.; Hussain A.; Mustafina J. (2018)

© 2018 IEEE. Chronic Kidney Disease is a serious lifelong condition that induced by either kidney pathology or reduced kidney functions. Early prediction and proper treatments can possibly stop, or slow the progression of ...
Formation of regression model for analysis of complex systems using methodology of genetic algorithms

Mokshin A.V.; Mirziyarova D.A.; Mokshin V.V. (2020)

© 2020, Education and Upbringing Publishing. All rights reserved. This study presents the approach to analyze evolution of an arbitrary complex system whose behavior is characterized by a set of different time-dependent ...
Implementation of machine learning algorithms to create diabetic patient re-admission profiles

Alloghani M.; Aljaaf A.; Hussain A.; Baker T.; Mustafina J.; Al-Jumeily D.; Khalaf M. (2019)

BACKGROUND: Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today's computers to have the property of learning. Machine learning is ...
Implementation of machine learning and data mining to improve cybersecurity and limit vulnerabilities to cyber attacks

Alloghani M.; Al-Jumeily D.; Hussain A.; Mustafina J.; Baker T.; Aljaaf A.J. (2020)

© Springer Nature Switzerland AG 2020. Of the many challenges that continue to make detection of cyber-attack detection elusive, lack of training data remains the biggest one. Even though organizations and business turn ...
Interactive attention network for adverse drug reaction classification

Неизвестный автор (2018)

© Springer Nature Switzerland AG 2018. Detection of new adverse drug reactions is intended to both improve the quality of medications and drug reprofiling. Social media and electronic clinical reports are becoming increasingly ...
KFU at CLEF eHealth 2017 Task 1: ICD-10 coding of English death certificates with recurrent neural networks

Miftahutdinov Z.; Tutubalina E. (2017)

This paper describes the participation of the KFU team in the CLEF eHealth 2017 challenge. Specifically, we participated in Task 1, namely "Multilingual Information Extraction - ICD-10 coding" for which we implemented ...
Machine learning and data mining methods in testing and diagnostics of analog and mixed-signal integrated circuits: Case study

Mosin S. (2019)

© 2019, Springer Nature Singapore Pte Ltd. Artificial intelligence methods are widely used in different interdisciplinary areas. The paper is devoted to application the method of machine learning and data mining to ...
Machine learning methods in computational toxicology

Неизвестный автор (2018)

© Springer Science+Business Media, LLC, part of Springer Nature 2018. Various methods of machine learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination with various types ...
Methods of automation the process of detailed correlation of well sections with the use of machine learning

Murtazin T.; Ismagilov A.; Novikiva S.; Sudakov V. (2019)

© SGEM2019. When constructing a geological model at the stage of 3D grid building, the problem of vertical layering. When modeling is performed on the area with a large number of wells, the process of cross-well correlation ...

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