139 related articles for article (PubMed ID: 31554353)
1. Make Intelligent of Gastric Cancer Diagnosis Error in Qazvin's Medical Centers: Using Data Mining Method.
Mortezagholi A; Khosravizadeh O; Menhaj MB; Shafigh Y; Kalhor R
Asian Pac J Cancer Prev; 2019 Sep; 20(9):2607-2610. PubMed ID: 31554353
[TBL] [Abstract][Full Text] [Related]
2. Construction accident narrative classification: An evaluation of text mining techniques.
Goh YM; Ubeynarayana CU
Accid Anal Prev; 2017 Nov; 108():122-130. PubMed ID: 28865927
[TBL] [Abstract][Full Text] [Related]
3. Prediction of patient choice tendency in medical decision-making based on machine learning algorithm.
Lyu Y; Xu Q; Yang Z; Liu J
Front Public Health; 2023; 11():1087358. PubMed ID: 36908484
[TBL] [Abstract][Full Text] [Related]
4. 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]
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. Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors.
Afrash MR; Shafiee M; Kazemi-Arpanahi H
BMC Gastroenterol; 2023 Jan; 23(1):6. PubMed ID: 36627564
[TBL] [Abstract][Full Text] [Related]
7. Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection Techniques.
Hessen SH; Abdul-Kader HM; Khedr AE; Salem RK
Comput Intell Neurosci; 2022; 2022():2941840. PubMed ID: 35140765
[TBL] [Abstract][Full Text] [Related]
8. Comparison of Classification Success Rates of Different Machine Learning Algorithms in the Diagnosis of Breast Cancer.
Ozcan I; Aydin H; Cetinkaya A
Asian Pac J Cancer Prev; 2022 Oct; 23(10):3287-3297. PubMed ID: 36308351
[TBL] [Abstract][Full Text] [Related]
9. A novel method for predicting kidney stone type using ensemble learning.
Kazemi Y; Mirroshandel SA
Artif Intell Med; 2018 Jan; 84():117-126. PubMed ID: 29241659
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Efficient Model for Coronary Artery Disease Diagnosis: A Comparative Study of Several Machine Learning Algorithms.
Garavand A; Salehnasab C; Behmanesh A; Aslani N; Zadeh AH; Ghaderzadeh M
J Healthc Eng; 2022; 2022():5359540. PubMed ID: 36304749
[TBL] [Abstract][Full Text] [Related]
12. Supervised Machine Learning Approach to COVID-19 Detection Based on Clinical Data.
Yazdani A; Zahmatkeshan M; Ravangard R; Sharifian R; Shirdeli M
Med J Islam Repub Iran; 2022; 36():110. PubMed ID: 36447543
[No Abstract] [Full Text] [Related]
13. Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters.
Peng K; Tang Z; Dong L; Sun D
Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770274
[TBL] [Abstract][Full Text] [Related]
14. An artificial intelligence approach to predict infants' health status at birth.
Halomoan Harahap T; Mansouri S; Salim Abdullah O; Uinarni H; Askar S; Jabbar TL; Hussien Alawadi A; Yaseen Hassan A
Int J Med Inform; 2024 Mar; 183():105338. PubMed ID: 38211423
[TBL] [Abstract][Full Text] [Related]
15. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
[TBL] [Abstract][Full Text] [Related]
16. Predicting coronary artery disease: a comparison between two data mining algorithms.
Ayatollahi H; Gholamhosseini L; Salehi M
BMC Public Health; 2019 Apr; 19(1):448. PubMed ID: 31035958
[TBL] [Abstract][Full Text] [Related]
17. Comparing different supervised machine learning algorithms for disease prediction.
Uddin S; Khan A; Hossain ME; Moni MA
BMC Med Inform Decis Mak; 2019 Dec; 19(1):281. PubMed ID: 31864346
[TBL] [Abstract][Full Text] [Related]
18. Application of a developed triple-classification machine learning model for carcinogenic prediction of hazardous organic chemicals to the US, EU, and WHO based on Chinese database.
Hao N; Sun P; Zhao W; Li X
Ecotoxicol Environ Saf; 2023 Apr; 255():114806. PubMed ID: 36948010
[TBL] [Abstract][Full Text] [Related]
19. Screening nonrandomized studies for medical systematic reviews: a comparative study of classifiers.
Bekhuis T; Demner-Fushman D
Artif Intell Med; 2012 Jul; 55(3):197-207. PubMed ID: 22677493
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]