242 related articles for article (PubMed ID: 31845194)
1. Prediction of Skin Disease with Three Different Feature Selection Techniques Using Stacking Ensemble Method.
Verma AK; Pal S
Appl Biochem Biotechnol; 2020 Jun; 191(2):637-656. PubMed ID: 31845194
[TBL] [Abstract][Full Text] [Related]
2. Prediction of Skin Disease Using Ensemble Data Mining Techniques and Feature Selection Method-a Comparative Study.
Verma AK; Pal S; Kumar S
Appl Biochem Biotechnol; 2020 Feb; 190(2):341-359. PubMed ID: 31350666
[TBL] [Abstract][Full Text] [Related]
3. A robust multi-class feature selection strategy based on Rotation Forest Ensemble algorithm for diagnosis of Erythemato-Squamous diseases.
Ozcift A; Gulten A
J Med Syst; 2012 Apr; 36(2):941-9. PubMed ID: 20703639
[TBL] [Abstract][Full Text] [Related]
4. A new hybrid ensemble machine-learning model for severity risk assessment and post-COVID prediction system.
Shakhovska N; Yakovyna V; Chopyak V
Math Biosci Eng; 2022 Apr; 19(6):6102-6123. PubMed ID: 35603393
[TBL] [Abstract][Full Text] [Related]
5. Cancer Classification with a Cost-Sensitive Naive Bayes Stacking Ensemble.
Xiong Y; Ye M; Wu C
Comput Math Methods Med; 2021; 2021():5556992. PubMed ID: 33986823
[TBL] [Abstract][Full Text] [Related]
6. Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark.
Abdel-Fattah MA; Othman NA; Goher N
Comput Intell Neurosci; 2022; 2022():9898831. PubMed ID: 35251161
[TBL] [Abstract][Full Text] [Related]
7. Data-driven diagnosis of spinal abnormalities using feature selection and machine learning algorithms.
Raihan-Al-Masud M; Mondal MRH
PLoS One; 2020; 15(2):e0228422. PubMed ID: 32027680
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Ensemble Merit Merge Feature Selection for Enhanced Multinomial Classification in Alzheimer's Dementia.
Sivapriya TR; Kamal AR; Thangaiah PR
Comput Math Methods Med; 2015; 2015():676129. PubMed ID: 26576199
[TBL] [Abstract][Full Text] [Related]
10. Machine learning based congestive heart failure detection using feature importance ranking of multimodal features.
Hussain L; Aziz W; Khan IR; Alkinani MH; Alowibdi JS
Math Biosci Eng; 2020 Nov; 18(1):69-91. PubMed ID: 33525081
[TBL] [Abstract][Full Text] [Related]
11. Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data.
Garcia-Chimeno Y; Garcia-Zapirain B; Gomez-Beldarrain M; Fernandez-Ruanova B; Garcia-Monco JC
BMC Med Inform Decis Mak; 2017 Apr; 17(1):38. PubMed ID: 28407777
[TBL] [Abstract][Full Text] [Related]
12. Ensemble of heterogeneous classifiers for diagnosis and prediction of coronary artery disease with reduced feature subset.
Velusamy D; Ramasamy K
Comput Methods Programs Biomed; 2021 Jan; 198():105770. PubMed ID: 33027698
[TBL] [Abstract][Full Text] [Related]
13. Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization.
Nishio M; Nishizawa M; Sugiyama O; Kojima R; Yakami M; Kuroda T; Togashi K
PLoS One; 2018; 13(4):e0195875. PubMed ID: 29672639
[TBL] [Abstract][Full Text] [Related]
14. A Tri-Stage Wrapper-Filter Feature Selection Framework for Disease Classification.
Mandal M; Singh PK; Ijaz MF; Shafi J; Sarkar R
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34451013
[TBL] [Abstract][Full Text] [Related]
15. Machine learning models in breast cancer survival prediction.
Montazeri M; Montazeri M; Montazeri M; Beigzadeh A
Technol Health Care; 2016; 24(1):31-42. PubMed ID: 26409558
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of the performance of various machine learning methods on the discrimination of the active compounds.
Shamsara J
Chem Biol Drug Des; 2021 Apr; 97(4):930-943. PubMed ID: 33370504
[TBL] [Abstract][Full Text] [Related]
17. Binding Activity Prediction of Cyclin-Dependent Inhibitors.
Saha I; Rak B; Bhowmick SS; Maulik U; Bhattacharjee D; Koch U; Lazniewski M; Plewczynski D
J Chem Inf Model; 2015 Jul; 55(7):1469-82. PubMed ID: 26079845
[TBL] [Abstract][Full Text] [Related]
18. Machine learning algorithm to evaluate risk factors of diabetic foot ulcers and its severity.
Nanda R; Nath A; Patel S; Mohapatra E
Med Biol Eng Comput; 2022 Aug; 60(8):2349-2357. PubMed ID: 35751828
[TBL] [Abstract][Full Text] [Related]
19. Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease.
Wang C; Chen X; Du L; Zhan Q; Yang T; Fang Z
Comput Methods Programs Biomed; 2020 May; 188():105267. PubMed ID: 31841787
[TBL] [Abstract][Full Text] [Related]
20. A Study on ML-Based Software Defect Detection for Security Traceability in Smart Healthcare Applications.
Mcmurray S; Sodhro AH
Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050529
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]