306 related articles for article (PubMed ID: 34800847)
1. Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis.
Adeoye J; Hui L; Koohi-Moghadam M; Tan JY; Choi SW; Thomson P
Int J Med Inform; 2022 Jan; 157():104635. PubMed ID: 34800847
[TBL] [Abstract][Full Text] [Related]
2. Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study.
Yang X; Qiu H; Wang L; Wang X
J Med Internet Res; 2023 Oct; 25():e44417. PubMed ID: 37883174
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of machine learning models for predicting prognosis and guiding individualized postoperative chemotherapy: A real-world study of distal cholangiocarcinoma.
Wang D; Pan B; Huang JC; Chen Q; Cui SP; Lang R; Lyu SC
Front Oncol; 2023; 13():1106029. PubMed ID: 37007095
[TBL] [Abstract][Full Text] [Related]
4. Deep Learning Predicts the Malignant-Transformation-Free Survival of Oral Potentially Malignant Disorders.
Adeoye J; Koohi-Moghadam M; Lo AWI; Tsang RK; Chow VLY; Zheng LW; Choi SW; Thomson P; Su YX
Cancers (Basel); 2021 Dec; 13(23):. PubMed ID: 34885164
[TBL] [Abstract][Full Text] [Related]
5. Deep learning models for predicting the survival of patients with chondrosarcoma based on a surveillance, epidemiology, and end results analysis.
Yan L; Gao N; Ai F; Zhao Y; Kang Y; Chen J; Weng Y
Front Oncol; 2022; 12():967758. PubMed ID: 36072795
[TBL] [Abstract][Full Text] [Related]
6. The Application and Comparison of Machine Learning Models for the Prediction of Breast Cancer Prognosis: Retrospective Cohort Study.
Xiao J; Mo M; Wang Z; Zhou C; Shen J; Yuan J; He Y; Zheng Y
JMIR Med Inform; 2022 Feb; 10(2):e33440. PubMed ID: 35179504
[TBL] [Abstract][Full Text] [Related]
7. Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis.
Wang S; Shao M; Fu Y; Zhao R; Xing Y; Zhang L; Xu Y
Sci Rep; 2024 Jun; 14(1):13232. PubMed ID: 38853169
[TBL] [Abstract][Full Text] [Related]
8. Development and validation of survival prediction model for gastric adenocarcinoma patients using deep learning: A SEER-based study.
Zeng J; Li K; Cao F; Zheng Y
Front Oncol; 2023; 13():1131859. PubMed ID: 36959782
[TBL] [Abstract][Full Text] [Related]
9. Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review.
Adeoye J; Tan JY; Choi SW; Thomson P
Int J Med Inform; 2021 Oct; 154():104557. PubMed ID: 34455119
[TBL] [Abstract][Full Text] [Related]
10. Does the SORG Algorithm Predict 5-year Survival in Patients with Chondrosarcoma? An External Validation.
Bongers MER; Thio QCBS; Karhade AV; Stor ML; Raskin KA; Lozano Calderon SA; DeLaney TF; Ferrone ML; Schwab JH
Clin Orthop Relat Res; 2019 Oct; 477(10):2296-2303. PubMed ID: 31107338
[TBL] [Abstract][Full Text] [Related]
11. Predicting overall survival in chordoma patients using machine learning models: a web-app application.
Cheng P; Xie X; Knoedler S; Mi B; Liu G
J Orthop Surg Res; 2023 Sep; 18(1):652. PubMed ID: 37660044
[TBL] [Abstract][Full Text] [Related]
12. Machine learning methods for accurately predicting survival and guiding treatment in stage I and II hepatocellular carcinoma.
Li X; Bao H; Shi Y; Zhu W; Peng Z; Yan L; Chen J; Shu X
Medicine (Baltimore); 2023 Nov; 102(45):e35892. PubMed ID: 37960763
[TBL] [Abstract][Full Text] [Related]
13. Which model is better in predicting the survival of laryngeal squamous cell carcinoma?: Comparison of the random survival forest based on machine learning algorithms to Cox regression: analyses based on SEER database.
Sun H; Wu S; Li S; Jiang X
Medicine (Baltimore); 2023 Mar; 102(10):e33144. PubMed ID: 36897699
[TBL] [Abstract][Full Text] [Related]
14. Comparison of the cox regression to machine learning in predicting the survival of anaplastic thyroid carcinoma.
Xu L; Cai L; Zhu Z; Chen G
BMC Endocr Disord; 2023 Jun; 23(1):129. PubMed ID: 37291551
[TBL] [Abstract][Full Text] [Related]
15. Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database.
Lee C; Light A; Alaa A; Thurtle D; van der Schaar M; Gnanapragasam VJ
Lancet Digit Health; 2021 Mar; 3(3):e158-e165. PubMed ID: 33549512
[TBL] [Abstract][Full Text] [Related]
16. Application of Machine Learning Models to Predict Recurrence After Surgical Resection of Nonmetastatic Renal Cell Carcinoma.
Khene ZE; Bigot P; Doumerc N; Ouzaid I; Boissier R; Nouhaud FX; Albiges L; Bernhard JC; Ingels A; Borchiellini D; Kammerer-Jacquet S; Rioux-Leclercq N; Roupret M; Acosta O; De Crevoisier R; Bensalah K;
Eur Urol Oncol; 2023 Jun; 6(3):323-330. PubMed ID: 35987730
[TBL] [Abstract][Full Text] [Related]
17. Machine learning-based prediction of 1-year mortality for acute coronary syndrome
Hadanny A; Shouval R; Wu J; Gale CP; Unger R; Zahger D; Gottlieb S; Matetzky S; Goldenberg I; Beigel R; Iakobishvili Z
J Cardiol; 2022 Mar; 79(3):342-351. PubMed ID: 34857429
[TBL] [Abstract][Full Text] [Related]
18. Deep learning model for predicting the survival of patients with primary gastrointestinal lymphoma based on the SEER database and a multicentre external validation cohort.
Wang F; Chen L; Liu L; Jia Y; Li W; Wang L; Zhi J; Liu W; Li W; Li Z
J Cancer Res Clin Oncol; 2023 Oct; 149(13):12177-12189. PubMed ID: 37428248
[TBL] [Abstract][Full Text] [Related]
19. Deep learning model for predicting postoperative survival of patients with gastric cancer.
Zeng J; Song D; Li K; Cao F; Zheng Y
Front Oncol; 2024; 14():1329983. PubMed ID: 38628668
[TBL] [Abstract][Full Text] [Related]
20. Can Machine-learning Techniques Be Used for 5-year Survival Prediction of Patients With Chondrosarcoma?
Thio QCBS; Karhade AV; Ogink PT; Raskin KA; De Amorim Bernstein K; Lozano Calderon SA; Schwab JH
Clin Orthop Relat Res; 2018 Oct; 476(10):2040-2048. PubMed ID: 30179954
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]