450 related articles for article (PubMed ID: 37024885)
1. Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study.
Afrash MR; Mirbagheri E; Mashoufi M; Kazemi-Arpanahi H
BMC Med Inform Decis Mak; 2023 Apr; 23(1):54. PubMed ID: 37024885
[TBL] [Abstract][Full Text] [Related]
2. Design and Development of an Intelligent System for Predicting 5-Year Survival in Gastric Cancer.
Afrash MR; Shanbehzadeh M; Kazemi-Arpanahi H
Clin Med Insights Oncol; 2022; 16():11795549221116833. PubMed ID: 36035639
[TBL] [Abstract][Full Text] [Related]
3. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
[TBL] [Abstract][Full Text] [Related]
4. Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients.
Wang J; Chen J; Zhou R; Gao Y; Li J
BMC Cancer; 2022 Apr; 22(1):420. PubMed ID: 35439946
[TBL] [Abstract][Full Text] [Related]
5. Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.
Dai H; Lu M; Huang B; Tang M; Pang T; Liao B; Cai H; Huang M; Zhou Y; Chen X; Ding H; Feng ST
Quant Imaging Med Surg; 2021 May; 11(5):1836-1853. PubMed ID: 33936969
[TBL] [Abstract][Full Text] [Related]
6. Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms.
Rahimi M; Afrash MR; Shadnia S; Mostafazadeh B; Evini PET; Bardsiri MS; Ramezani M
BMC Med Inform Decis Mak; 2024 Feb; 24(1):38. PubMed ID: 38321428
[TBL] [Abstract][Full Text] [Related]
7. Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model.
Du P; Liu X; Wu X; Chen J; Cao A; Geng D
Brain Sci; 2023 Jun; 13(6):. PubMed ID: 37371390
[TBL] [Abstract][Full Text] [Related]
8. Predicting hospital readmission risk in patients with COVID-19: A machine learning approach.
Afrash MR; Kazemi-Arpanahi H; Shanbehzadeh M; Nopour R; Mirbagheri E
Inform Med Unlocked; 2022; 30():100908. PubMed ID: 35280933
[TBL] [Abstract][Full Text] [Related]
9. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
[TBL] [Abstract][Full Text] [Related]
10. Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.
Jalali-Najafabadi F; Stadler M; Dand N; Jadon D; Soomro M; Ho P; Marzo-Ortega H; Helliwell P; Korendowych E; Simpson MA; Packham J; Smith CH; Barker JN; McHugh N; Warren RB; Barton A; Bowes J; ;
Sci Rep; 2021 Dec; 11(1):23335. PubMed ID: 34857774
[TBL] [Abstract][Full Text] [Related]
11. Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods.
Taghizadeh E; Heydarheydari S; Saberi A; JafarpoorNesheli S; Rezaeijo SM
BMC Bioinformatics; 2022 Oct; 23(1):410. PubMed ID: 36183055
[TBL] [Abstract][Full Text] [Related]
12. A machine learning-based sonomics for prediction of thyroid nodule malignancies.
Arabi M; Nazari M; Salahshour A; Jenabi E; Hajianfar G; Khateri M; Shayesteh SP
Endocrine; 2023 Nov; 82(2):326-334. PubMed ID: 37291392
[TBL] [Abstract][Full Text] [Related]
13. Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia.
Shanbehzadeh M; Afrash MR; Mirani N; Kazemi-Arpanahi H
BMC Med Inform Decis Mak; 2022 Sep; 22(1):236. PubMed ID: 36068539
[TBL] [Abstract][Full Text] [Related]
14. A 5-year survival status prognosis of nonmetastatic cervical cancer patients through machine learning algorithms.
Yu W; Lu Y; Shou H; Xu H; Shi L; Geng X; Song T
Cancer Med; 2023 Mar; 12(6):6867-6876. PubMed ID: 36479910
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
17. Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.
Yin P; Mao N; Zhao C; Wu J; Sun C; Chen L; Hong N
Eur Radiol; 2019 Apr; 29(4):1841-1847. PubMed ID: 30280245
[TBL] [Abstract][Full Text] [Related]
18. Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images.
Mirniaharikandehei S; Heidari M; Danala G; Lakshmivarahan S; Zheng B
Comput Methods Programs Biomed; 2021 Mar; 200():105937. PubMed ID: 33486339
[TBL] [Abstract][Full Text] [Related]
19. Preoperative MRI-Based Radiomic Machine-Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft-Tissue Lesions: A Two-Center Study.
Wang H; Zhang J; Bao S; Liu J; Hou F; Huang Y; Chen H; Duan S; Hao D; Liu J
J Magn Reson Imaging; 2020 Sep; 52(3):873-882. PubMed ID: 32112598
[TBL] [Abstract][Full Text] [Related]
20. Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning.
Laios A; Katsenou A; Tan YS; Johnson R; Otify M; Kaufmann A; Munot S; Thangavelu A; Hutson R; Broadhead T; Theophilou G; Nugent D; De Jong D
Cancer Control; 2021; 28():10732748211044678. PubMed ID: 34693730
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
