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You searched for subject:(Seizure Prediction). Showing records 1 – 11 of 11 total matches.

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University of Melbourne

1. O'SULLIVAN-GREENE, ELMA. Reevaluating electroencephalography for epileptic seizure prediction.

Degree: 2011, University of Melbourne

Prediction of epileptic seizures would greatly reduce the burden of epilepsy for over 50 million people worldwide. Seizure events are typically characterised by a loss… (more)

Subjects/Keywords: epilepsy; epileptic seizure prediction; observability

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

O'SULLIVAN-GREENE, E. (2011). Reevaluating electroencephalography for epileptic seizure prediction. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/36630

Chicago Manual of Style (16th Edition):

O'SULLIVAN-GREENE, ELMA. “Reevaluating electroencephalography for epileptic seizure prediction.” 2011. Doctoral Dissertation, University of Melbourne. Accessed January 25, 2020. http://hdl.handle.net/11343/36630.

MLA Handbook (7th Edition):

O'SULLIVAN-GREENE, ELMA. “Reevaluating electroencephalography for epileptic seizure prediction.” 2011. Web. 25 Jan 2020.

Vancouver:

O'SULLIVAN-GREENE E. Reevaluating electroencephalography for epileptic seizure prediction. [Internet] [Doctoral dissertation]. University of Melbourne; 2011. [cited 2020 Jan 25]. Available from: http://hdl.handle.net/11343/36630.

Council of Science Editors:

O'SULLIVAN-GREENE E. Reevaluating electroencephalography for epileptic seizure prediction. [Doctoral Dissertation]. University of Melbourne; 2011. Available from: http://hdl.handle.net/11343/36630


Univerzitet u Beogradu

2. Gajić, Dragoljub. Детекција епилептиформних активности у ЕЕГ сигналима применом статистичког препознавања облика.

Degree: Elektrotehnički fakultet, 2016, Univerzitet u Beogradu

Електротехника и рачунарство - Управљање системима и обрада сигнала / Electrical Engineering and Computer Science - Systems Control and Signal Processing

Епилепсија представља најучесталији поремећај… (more)

Subjects/Keywords: Epilepsy; Electroencephalogram; Epileptic Seizure; Seizure Detection; Seizure Prediction; Statistical Pattern Recognition; Wavelet Transform; Chaos Theory

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APA (6th Edition):

Gajić, D. (2016). Детекција епилептиформних активности у ЕЕГ сигналима применом статистичког препознавања облика. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:11880/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gajić, Dragoljub. “Детекција епилептиформних активности у ЕЕГ сигналима применом статистичког препознавања облика.” 2016. Thesis, Univerzitet u Beogradu. Accessed January 25, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:11880/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gajić, Dragoljub. “Детекција епилептиформних активности у ЕЕГ сигналима применом статистичког препознавања облика.” 2016. Web. 25 Jan 2020.

Vancouver:

Gajić D. Детекција епилептиформних активности у ЕЕГ сигналима применом статистичког препознавања облика. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2020 Jan 25]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:11880/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gajić D. Детекција епилептиформних активности у ЕЕГ сигналима применом статистичког препознавања облика. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:11880/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Rabbi, Ahmed Fazle. Epileptic Seizure Detection And Prediction From Electroencephalogram Using Neuro-Fuzzy Algorithms.

Degree: PhD, Electrical Engineering, 2013, University of North Dakota

  This dissertation presents innovative approaches based on fuzzy logic in epileptic seizure detection and prediction from Electroencephalogram (EEG). The fuzzy rule-based algorithms were developed… (more)

Subjects/Keywords: ANFIS; Electroencephalogram; Fuzzy Logic; Neuro-Fuzzy; Seizure Detection; Seizure Prediction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rabbi, A. F. (2013). Epileptic Seizure Detection And Prediction From Electroencephalogram Using Neuro-Fuzzy Algorithms. (Doctoral Dissertation). University of North Dakota. Retrieved from https://commons.und.edu/theses/1471

Chicago Manual of Style (16th Edition):

Rabbi, Ahmed Fazle. “Epileptic Seizure Detection And Prediction From Electroencephalogram Using Neuro-Fuzzy Algorithms.” 2013. Doctoral Dissertation, University of North Dakota. Accessed January 25, 2020. https://commons.und.edu/theses/1471.

MLA Handbook (7th Edition):

Rabbi, Ahmed Fazle. “Epileptic Seizure Detection And Prediction From Electroencephalogram Using Neuro-Fuzzy Algorithms.” 2013. Web. 25 Jan 2020.

Vancouver:

Rabbi AF. Epileptic Seizure Detection And Prediction From Electroencephalogram Using Neuro-Fuzzy Algorithms. [Internet] [Doctoral dissertation]. University of North Dakota; 2013. [cited 2020 Jan 25]. Available from: https://commons.und.edu/theses/1471.

Council of Science Editors:

Rabbi AF. Epileptic Seizure Detection And Prediction From Electroencephalogram Using Neuro-Fuzzy Algorithms. [Doctoral Dissertation]. University of North Dakota; 2013. Available from: https://commons.und.edu/theses/1471


University of Illinois – Chicago

4. Chindemi, Giuseppe. A Neural Network Study of Predicting Seizures in Epilepsy.

Degree: 2012, University of Illinois – Chicago

 Background Epilepsy is a group of chronic neurological disorders characterized by recurrent seizures [1]. A seizure is a transient abnormal condition caused by a sudden… (more)

Subjects/Keywords: Epilepsy; Seizure Prediction; Artificial Neural Network; Neurological Disorder

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chindemi, G. (2012). A Neural Network Study of Predicting Seizures in Epilepsy. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/9332

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chindemi, Giuseppe. “A Neural Network Study of Predicting Seizures in Epilepsy.” 2012. Thesis, University of Illinois – Chicago. Accessed January 25, 2020. http://hdl.handle.net/10027/9332.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chindemi, Giuseppe. “A Neural Network Study of Predicting Seizures in Epilepsy.” 2012. Web. 25 Jan 2020.

Vancouver:

Chindemi G. A Neural Network Study of Predicting Seizures in Epilepsy. [Internet] [Thesis]. University of Illinois – Chicago; 2012. [cited 2020 Jan 25]. Available from: http://hdl.handle.net/10027/9332.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chindemi G. A Neural Network Study of Predicting Seizures in Epilepsy. [Thesis]. University of Illinois – Chicago; 2012. Available from: http://hdl.handle.net/10027/9332

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Park, Yun Sang. Reduced-complexity epileptic seizure prediction with EEG.

Degree: PhD, Electrical Engineering, 2012, University of Minnesota

 In the dissertation we seek to develop and validate reliable frameworks for human epileptic seizure prediction with electrocorticogram (ECoG) and intracranial electroencephalogram (iEEG). The long-term… (more)

Subjects/Keywords: Detection; Electroencephalogram; Epilepsy; Prediction; Seizure

…2. 3 Recent Research Trend in Seizure Prediction and Detection with EEG ............. 18… …30 Chapter 3 Seizure Prediction with Spectral Power of iEEG Using SVMs… …63 Chapter 4 Reduced-Complexity Seizure Prediction with EEG… …67 4. 2. 4 Feature Selection by RFE SVM for Reduced Complexity Seizure Prediction… …117 6. 1. 1 Seizure Prediction with Spectral Power of ECoG/iEEG using SVMs ...... 118 6. 1… 

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APA (6th Edition):

Park, Y. S. (2012). Reduced-complexity epileptic seizure prediction with EEG. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/120904

Chicago Manual of Style (16th Edition):

Park, Yun Sang. “Reduced-complexity epileptic seizure prediction with EEG.” 2012. Doctoral Dissertation, University of Minnesota. Accessed January 25, 2020. http://purl.umn.edu/120904.

MLA Handbook (7th Edition):

Park, Yun Sang. “Reduced-complexity epileptic seizure prediction with EEG.” 2012. Web. 25 Jan 2020.

Vancouver:

Park YS. Reduced-complexity epileptic seizure prediction with EEG. [Internet] [Doctoral dissertation]. University of Minnesota; 2012. [cited 2020 Jan 25]. Available from: http://purl.umn.edu/120904.

Council of Science Editors:

Park YS. Reduced-complexity epileptic seizure prediction with EEG. [Doctoral Dissertation]. University of Minnesota; 2012. Available from: http://purl.umn.edu/120904

6. Sedigh-sarvestani, Madineh. Statistical and computational methods to investigate the relationship between sleep and seizure networks in the rodent brain.

Degree: PhD, Engineering Science and Mechanics, 2013, Penn State University

 Epilepsy is a neurological disorder characterized by the repeated occurrence of seizures. The unpredictable occurrence of seizures jeopardizes the quality of life of people with… (more)

Subjects/Keywords: Seizure prediction Sleep and Seizure Preseizure SOV Preseizure R

…General prediction model . . . . . . . . . . . . . . . . . . . . . . . Seizure transition rates… …Seizure transition rates and Brier scores for self-trained prediction for E1-E6… …Seizure transition rates and Brier scores for cross-trained prediction for E6… …such as improved seizure prediction devices. The focus of this work is the development of… …improve the performance of seizure prediction algorithms. Mathematical models of sleep can be… 

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APA (6th Edition):

Sedigh-sarvestani, M. (2013). Statistical and computational methods to investigate the relationship between sleep and seizure networks in the rodent brain. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/18946

Chicago Manual of Style (16th Edition):

Sedigh-sarvestani, Madineh. “Statistical and computational methods to investigate the relationship between sleep and seizure networks in the rodent brain.” 2013. Doctoral Dissertation, Penn State University. Accessed January 25, 2020. https://etda.libraries.psu.edu/catalog/18946.

MLA Handbook (7th Edition):

Sedigh-sarvestani, Madineh. “Statistical and computational methods to investigate the relationship between sleep and seizure networks in the rodent brain.” 2013. Web. 25 Jan 2020.

Vancouver:

Sedigh-sarvestani M. Statistical and computational methods to investigate the relationship between sleep and seizure networks in the rodent brain. [Internet] [Doctoral dissertation]. Penn State University; 2013. [cited 2020 Jan 25]. Available from: https://etda.libraries.psu.edu/catalog/18946.

Council of Science Editors:

Sedigh-sarvestani M. Statistical and computational methods to investigate the relationship between sleep and seizure networks in the rodent brain. [Doctoral Dissertation]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/18946

7. Silva, José Manuel Soares Campos Ferreira da. Deteção de convulsões epiléticas em eletroencefalogramas usando deep learning.

Degree: 2017, Instituto Politécnico do Porto

Através da análise dos dados obtidos por eletroencefalogramas intracranianos (iEEG), pretende-se a identificação dos períodos com maior probabilidade de ocorrência de convulsões, permitindo dessa forma… (more)

Subjects/Keywords: Deep Learning; Convolutional Neural Networks; Eletroencefalograma intracranial; Epilepsia; Previsão de convulsões; Intracranial Electroencephalogram; Epilepsy; Seizure Prediction; Sistemas Computacionais

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APA (6th Edition):

Silva, J. M. S. C. F. d. (2017). Deteção de convulsões epiléticas em eletroencefalogramas usando deep learning. (Thesis). Instituto Politécnico do Porto. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11993

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Silva, José Manuel Soares Campos Ferreira da. “Deteção de convulsões epiléticas em eletroencefalogramas usando deep learning.” 2017. Thesis, Instituto Politécnico do Porto. Accessed January 25, 2020. https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11993.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Silva, José Manuel Soares Campos Ferreira da. “Deteção de convulsões epiléticas em eletroencefalogramas usando deep learning.” 2017. Web. 25 Jan 2020.

Vancouver:

Silva JMSCFd. Deteção de convulsões epiléticas em eletroencefalogramas usando deep learning. [Internet] [Thesis]. Instituto Politécnico do Porto; 2017. [cited 2020 Jan 25]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11993.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Silva JMSCFd. Deteção de convulsões epiléticas em eletroencefalogramas usando deep learning. [Thesis]. Instituto Politécnico do Porto; 2017. Available from: https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11993

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Πολυχρονάκη, Γεωργία - Σταυρούλα. Ανάπτυξη μεθοδολογιών βασισμένων σε μεγέθη μη - γραμμικής δυναμικής για την ανάλυση δεδομένων επιληψίας.

Degree: 2011, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

 In the current thesis, methodologies based on tools derived from the theory of non-linear dynamics and chaos are developed for analyzing the electroencephalogram (EEG) of… (more)

Subjects/Keywords: Μη-γραμμική δυναμική ανάλυση; Μορφοκλασματική διάσταση; Συγχρονισμός; Πολυμεταβλητή ανάλυση; Ανάλυση με υποκατάστατα; Ηλεκτροεγκεφαλογράφημα; Επιληψία; Επιληπτική κρίση; Ανίχνευση κρίσεων; Non-linear dynamics; Fractal dimensions; Synchronization; Multivariate analysis; Surrogate analysis; Electroencephalogram (EEG); Epilepsy; Epileptic seizure; Seizure detection; Seizure prediction

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APA (6th Edition):

Πολυχρονάκη, . . -. . (2011). Ανάπτυξη μεθοδολογιών βασισμένων σε μεγέθη μη - γραμμικής δυναμικής για την ανάλυση δεδομένων επιληψίας. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/26301

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Πολυχρονάκη, Γεωργία - Σταυρούλα. “Ανάπτυξη μεθοδολογιών βασισμένων σε μεγέθη μη - γραμμικής δυναμικής για την ανάλυση δεδομένων επιληψίας.” 2011. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed January 25, 2020. http://hdl.handle.net/10442/hedi/26301.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Πολυχρονάκη, Γεωργία - Σταυρούλα. “Ανάπτυξη μεθοδολογιών βασισμένων σε μεγέθη μη - γραμμικής δυναμικής για την ανάλυση δεδομένων επιληψίας.” 2011. Web. 25 Jan 2020.

Vancouver:

Πολυχρονάκη -. Ανάπτυξη μεθοδολογιών βασισμένων σε μεγέθη μη - γραμμικής δυναμικής για την ανάλυση δεδομένων επιληψίας. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2011. [cited 2020 Jan 25]. Available from: http://hdl.handle.net/10442/hedi/26301.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Πολυχρονάκη -. Ανάπτυξη μεθοδολογιών βασισμένων σε μεγέθη μη - γραμμικής δυναμικής για την ανάλυση δεδομένων επιληψίας. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2011. Available from: http://hdl.handle.net/10442/hedi/26301

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Zhu, Dongqing. Time-frequency and Hidden Markov Model Methods for Epileptic Seizure Detection.

Degree: MS, Engineering : Electrical Engineering, 2009, University of Cincinnati

 Epilepsy is a severe brain disease that affects more than 50 million individuals world-wide, which are about 1% of the world's population. A method capable… (more)

Subjects/Keywords: Biomedical Research; Electrical Engineering; human EEG; HMM; DWT; epilepsy; seizure detection; seizure prediction

…demonstrate great potentials for clinical applications in seizure detection and prediction… …Keywords: human EEG, HMM, DWT, epilepsy, seizure detection, seizure prediction iii BLANK PAGE… …shows potential capability of seizure prediction. Both methods are compared with two existing… …great potentials for clinical applications in seizure detection and prediction. 5 1.4… …Engineering It is entitled: Time-frequency and Hidden Markov Model Methods for Epileptic Seizure… 

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APA (6th Edition):

Zhu, D. (2009). Time-frequency and Hidden Markov Model Methods for Epileptic Seizure Detection. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1242070584

Chicago Manual of Style (16th Edition):

Zhu, Dongqing. “Time-frequency and Hidden Markov Model Methods for Epileptic Seizure Detection.” 2009. Masters Thesis, University of Cincinnati. Accessed January 25, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1242070584.

MLA Handbook (7th Edition):

Zhu, Dongqing. “Time-frequency and Hidden Markov Model Methods for Epileptic Seizure Detection.” 2009. Web. 25 Jan 2020.

Vancouver:

Zhu D. Time-frequency and Hidden Markov Model Methods for Epileptic Seizure Detection. [Internet] [Masters thesis]. University of Cincinnati; 2009. [cited 2020 Jan 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1242070584.

Council of Science Editors:

Zhu D. Time-frequency and Hidden Markov Model Methods for Epileptic Seizure Detection. [Masters Thesis]. University of Cincinnati; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1242070584


University of Waterloo

10. Dorai, Arvind. Automated Epileptic Seizure Onset Detection.

Degree: 2009, University of Waterloo

 Epilepsy is a serious neurological disorder characterized by recurrent unprovoked seizures due to abnormal or excessive neuronal activity in the brain. An estimated 50 million… (more)

Subjects/Keywords: Epilepsy; Seizure; Ictal; EEG; Prediction; Wavelet; Entropy; Synchronization; Chaos; Coherence; Signals

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dorai, A. (2009). Automated Epileptic Seizure Onset Detection. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4342

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dorai, Arvind. “Automated Epileptic Seizure Onset Detection.” 2009. Thesis, University of Waterloo. Accessed January 25, 2020. http://hdl.handle.net/10012/4342.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dorai, Arvind. “Automated Epileptic Seizure Onset Detection.” 2009. Web. 25 Jan 2020.

Vancouver:

Dorai A. Automated Epileptic Seizure Onset Detection. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2020 Jan 25]. Available from: http://hdl.handle.net/10012/4342.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dorai A. Automated Epileptic Seizure Onset Detection. [Thesis]. University of Waterloo; 2009. Available from: http://hdl.handle.net/10012/4342

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Varatharajah, Yogatheesan. Prediction of canine epilepsy.

Degree: MS, Electrical & Computer Engineering, 2015, University of Illinois – Urbana-Champaign

Seizure prediction is a problem in biomedical science which now is possible to solve with machine learning methods. A seizure prediction system has the power… (more)

Subjects/Keywords: Seizure prediction; Canine epilepsy; Preictal state; Prediction pipeline; Machine learning; Dimensionality Reduction

…works on seizure prediction and explains how the objectives of this work were drawn from those… …seizure prediction pipeline. Chapter 7 describes the results obtained using the experiments and… …techniques used on seizure prediction vary broadly. Understandably, features which characterize the… …changes in EEG are being given the most importance from the very beginning of seizure prediction… …using thresholding or machine learning. Early work on seizure prediction dating back to the… 

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APA (6th Edition):

Varatharajah, Y. (2015). Prediction of canine epilepsy. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/89052

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Varatharajah, Yogatheesan. “Prediction of canine epilepsy.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed January 25, 2020. http://hdl.handle.net/2142/89052.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Varatharajah, Yogatheesan. “Prediction of canine epilepsy.” 2015. Web. 25 Jan 2020.

Vancouver:

Varatharajah Y. Prediction of canine epilepsy. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Jan 25]. Available from: http://hdl.handle.net/2142/89052.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Varatharajah Y. Prediction of canine epilepsy. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/89052

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.