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ORCIDNatasha A. Khovanova
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- affiliation: University of Warwick, United Kingdom
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2020 – today
- 2022
[j6]Igor A. Khovanov
, Sean Perry, Natasha A. Khovanova:
Asymmetry of synchronisation tongue in persistent sodium plus potassium neuron model. Commun. Nonlinear Sci. Numer. Simul. 105: 106071 (2022)- 2021
- [j5]Manuel M. Eichenlaub, John G. Hattersley, Mary C. Gannon, Frank Q. Nuttall, Natasha A. Khovanova:
Bayesian parameter estimation in the oral minimal model of glucose dynamics from non-fasting conditions using a new function of glucose appearance. Comput. Methods Programs Biomed. 200: 105911 (2021) - 2020
- [c5]Sean Perry, Natasha A. Khovanova, Igor A. Khovanov:
Enhancement of Synchronization between Physiological Signals during Exercise: A Preliminary Investigation. EMBC 2020: 461-464
2010 – 2019
- 2019
- [j4]Torgyn Shaikhina, Dave Lowe, Sunil Daga, David Briggs, Robert Higgins, Natasha A. Khovanova:
Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation. Biomed. Signal Process. Control. 52: 456-462 (2019) - [c4]Manuel M. Eichenlaub, John G. Hattersley, Natasha A. Khovanova:
A Minimal Model Approach for the Description of Postprandial Glucose Responses from Glucose Sensor Data in Diabetes Mellitus. EMBC 2019: 265-268 - [c3]Sean Perry, Natasha A. Khovanova, Igor A. Khovanov:
Physical fitness contributes to cardio-respiratory synchronization. EMBC 2019: 4957-4960 - 2017
- [j3]Torgyn Shaikhina, Natasha A. Khovanova:
Handling limited datasets with neural networks in medical applications: A small-data approach. Artif. Intell. Medicine 75: 51-63 (2017) - 2016
- [j2]Yan Zhang, Tim A. Holt, Natasha A. Khovanova:
A data driven nonlinear stochastic model for blood glucose dynamics. Comput. Methods Programs Biomed. 125: 18-25 (2016) - 2014
- [c2]Natasha A. Khovanova, Yan Zhang, Tim A. Holt:
Generalised stochastic model for characterisation of subcutaneous glucose time series. BHI 2014: 484-487 - [c1]Torgyn Shaikhina, Natasha A. Khovanova, Kajal K. Mallick:
Artificial neural networks in hard tissue engineering: Another look at age-dependence of trabecular bone properties in osteoarthritis. BHI 2014: 622-625 - 2013
- [j1]Natasha A. Khovanova, Igor A. Khovanov, Luca Sbano, Frances Griffiths, Tim A. Holt:
Characterisation of linear predictability and non-stationarity of subcutaneous glucose profiles. Comput. Methods Programs Biomed. 110(3): 260-267 (2013)
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