334 related articles for article (PubMed ID: 36068539)
1. 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]
2. Prediction of acute organophosphate poisoning severity using machine learning techniques.
Hosseini SM; Rahimi M; Afrash MR; Ziaeefar P; Yousefzadeh P; Pashapour S; Evini PET; Mostafazadeh B; Shadnia S
Toxicology; 2023 Mar; 486():153431. PubMed ID: 36682461
[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. 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]
5. 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]
6. Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets.
Wu Z; Zhu M; Kang Y; Leung EL; Lei T; Shen C; Jiang D; Wang Z; Cao D; Hou T
Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33313673
[TBL] [Abstract][Full Text] [Related]
7. Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data.
Zakariaee SS; Naderi N; Ebrahimi M; Kazemi-Arpanahi H
Sci Rep; 2023 Jul; 13(1):11343. PubMed ID: 37443373
[TBL] [Abstract][Full Text] [Related]
8. A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn and SHAP.
Zhang G; Shi Y; Yin P; Liu F; Fang Y; Li X; Zhang Q; Zhang Z
Front Oncol; 2022; 12():944569. PubMed ID: 35957890
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. The LEukemia Artificial Intelligence Program (LEAP) in chronic myeloid leukemia in chronic phase: A model to improve patient outcomes.
Sasaki K; Jabbour EJ; Ravandi F; Konopleva M; Borthakur G; Wierda WG; Daver N; Takahashi K; Naqvi K; DiNardo C; Montalban-Bravo G; Kanagal-Shamanna R; Issa G; Jain P; Skinner J; Rios MB; Pierce S; Soltysiak KA; Sato J; Garcia-Manero G; Cortes JE
Am J Hematol; 2021 Feb; 96(2):241-250. PubMed ID: 33180322
[TBL] [Abstract][Full Text] [Related]
11. Using Machine Learning Algorithms to Predict High-Risk Factors for Postoperative Delirium in Elderly Patients.
Liu Y; Shen W; Tian Z
Clin Interv Aging; 2023; 18():157-168. PubMed ID: 36789284
[TBL] [Abstract][Full Text] [Related]
12. Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade.
Bektas CT; Kocak B; Yardimci AH; Turkcanoglu MH; Yucetas U; Koca SB; Erdim C; Kilickesmez O
Eur Radiol; 2019 Mar; 29(3):1153-1163. PubMed ID: 30167812
[TBL] [Abstract][Full Text] [Related]
13. Application of machine learning techniques for predicting survival in ovarian cancer.
Sorayaie Azar A; Babaei Rikan S; Naemi A; Bagherzadeh Mohasefi J; Pirnejad H; Bagherzadeh Mohasefi M; Wiil UK
BMC Med Inform Decis Mak; 2022 Dec; 22(1):345. PubMed ID: 36585641
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
[TBL] [Abstract][Full Text] [Related]
17. Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models.
Devi S; Kaul Ghanekar R; Pande JA; Dumbre D; Chavan R; Gupta H
Asian Pac J Cancer Prev; 2024 Mar; 25(3):1077-1085. PubMed ID: 38546090
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Supervised machine learning to predict reduced depression severity in people with epilepsy through epilepsy self-management intervention.
Camp EJ; Quon RJ; Sajatovic M; Briggs F; Brownrigg B; Janevic MR; Meisenhelter S; Steimel SA; Testorf ME; Kiriakopoulos E; Mazanec MT; Fraser RT; Johnson EK; Jobst BC
Epilepsy Behav; 2022 Feb; 127():108548. PubMed ID: 35042160
[TBL] [Abstract][Full Text] [Related]
20. Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images.
Du D; Feng H; Lv W; Ashrafinia S; Yuan Q; Wang Q; Yang W; Feng Q; Chen W; Rahmim A; Lu L
Mol Imaging Biol; 2020 Jun; 22(3):730-738. PubMed ID: 31338709
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]