155 related articles for article (PubMed ID: 24109932)
1. Machine learning approach to an otoneurological classification problem.
Joutsijoki H; Varpa K; Iltanen K; Juhola M
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():1294-7. PubMed ID: 24109932
[TBL] [Abstract][Full Text] [Related]
2. Automated classification of neurological disorders of gait using spatio-temporal gait parameters.
Pradhan C; Wuehr M; Akrami F; Neuhaeusser M; Huth S; Brandt T; Jahn K; Schniepp R
J Electromyogr Kinesiol; 2015 Apr; 25(2):413-22. PubMed ID: 25725811
[TBL] [Abstract][Full Text] [Related]
3. Seminal quality prediction using data mining methods.
Sahoo AJ; Kumar Y
Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
[TBL] [Abstract][Full Text] [Related]
4. On machine learning classification of otoneurological data.
Juhola M
Stud Health Technol Inform; 2008; 136():211-6. PubMed ID: 18487733
[TBL] [Abstract][Full Text] [Related]
5. Soft Clustering for Enhancing the Diagnosis of Chronic Diseases over Machine Learning Algorithms.
Aldhyani THH; Alshebami AS; Alzahrani MY
J Healthc Eng; 2020; 2020():4984967. PubMed ID: 32211144
[TBL] [Abstract][Full Text] [Related]
6. Applying one-vs-one and one-vs-all classifiers in k-nearest neighbour method and support vector machines to an otoneurological multi-class problem.
Varpa K; Joutsijoki H; Iltanen K; Juhola M
Stud Health Technol Inform; 2011; 169():579-83. PubMed ID: 21893815
[TBL] [Abstract][Full Text] [Related]
7. Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory.
Kruppa J; Liu Y; Biau G; Kohler M; König IR; Malley JD; Ziegler A
Biom J; 2014 Jul; 56(4):534-63. PubMed ID: 24478134
[TBL] [Abstract][Full Text] [Related]
8. Vicinal support vector classifier using supervised kernel-based clustering.
Yang X; Cao A; Song Q; Schaefer G; Su Y
Artif Intell Med; 2014 Mar; 60(3):189-96. PubMed ID: 24637294
[TBL] [Abstract][Full Text] [Related]
9. Artificial Intelligence: A Universal Virtual Tool to Augment Tutoring in Higher Education.
Hemachandran K; Verma P; Pareek P; Arora N; Rajesh Kumar KV; Ahanger TA; Pise AA; Ratna R
Comput Intell Neurosci; 2022; 2022():1410448. PubMed ID: 35586099
[TBL] [Abstract][Full Text] [Related]
10. Half-Against-Half structure in classification of benthic macroinvertebrate images.
Joutsijoki H
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():3646-9. PubMed ID: 24110520
[TBL] [Abstract][Full Text] [Related]
11. Machine learning method for knowledge discovery experimented with otoneurological data.
Varpa K; Iltanen K; Juhola M
Comput Methods Programs Biomed; 2008 Aug; 91(2):154-64. PubMed ID: 18524411
[TBL] [Abstract][Full Text] [Related]
12. Comparison of Support Vector Machine, Naïve Bayes and Logistic Regression for Assessing the Necessity for Coronary Angiography.
Golpour P; Ghayour-Mobarhan M; Saki A; Esmaily H; Taghipour A; Tajfard M; Ghazizadeh H; Moohebati M; Ferns GA
Int J Environ Res Public Health; 2020 Sep; 17(18):. PubMed ID: 32899733
[TBL] [Abstract][Full Text] [Related]
13. Developing robust arsenic awareness prediction models using machine learning algorithms.
Singh SK; Taylor RW; Rahman MM; Pradhan B
J Environ Manage; 2018 Apr; 211():125-137. PubMed ID: 29408061
[TBL] [Abstract][Full Text] [Related]
14. Classification of juvenile myoclonic epilepsy data acquired through scanning electromyography with machine learning algorithms.
Goker I; Osman O; Ozekes S; Baslo MB; Ertas M; Ulgen Y
J Med Syst; 2012 Oct; 36(5):2705-11. PubMed ID: 21681512
[TBL] [Abstract][Full Text] [Related]
15. Usage and comparison of artificial intelligence algorithms for determination of growth and development by cervical vertebrae stages in orthodontics.
Kök H; Acilar AM; İzgi MS
Prog Orthod; 2019 Nov; 20(1):41. PubMed ID: 31728776
[TBL] [Abstract][Full Text] [Related]
16. Classification of THz pulse signals using two-dimensional cross-correlation feature extraction and non-linear classifiers.
Siuly ; Yin X; Hadjiloucas S; Zhang Y
Comput Methods Programs Biomed; 2016 Apr; 127():64-82. PubMed ID: 27000290
[TBL] [Abstract][Full Text] [Related]
17. Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.
Alabi RO; Elmusrati M; Sawazaki-Calone I; Kowalski LP; Haglund C; Coletta RD; Mäkitie AA; Salo T; Almangush A; Leivo I
Int J Med Inform; 2020 Apr; 136():104068. PubMed ID: 31923822
[TBL] [Abstract][Full Text] [Related]
18. Prediction of heart disease and classifiers' sensitivity analysis.
Almustafa KM
BMC Bioinformatics; 2020 Jul; 21(1):278. PubMed ID: 32615980
[TBL] [Abstract][Full Text] [Related]
19. Early prediction of reading disability using machine learning.
Varol HA; Mani S; Compton DL; Fuchs LS; Fuchs D
AMIA Annu Symp Proc; 2009 Nov; 2009():667-71. PubMed ID: 20351938
[TBL] [Abstract][Full Text] [Related]
20. Utilizing temporal information in fMRI decoding: classifier using kernel regression methods.
Chu C; Mourão-Miranda J; Chiu YC; Kriegeskorte N; Tan G; Ashburner J
Neuroimage; 2011 Sep; 58(2):560-71. PubMed ID: 21729756
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]