137 related articles for article (PubMed ID: 33104877)
1. Machine learning to predict the cancer-specific mortality of patients with primary non-metastatic invasive breast cancer.
Zhou CM; Xue Q; Wang Y; Tong J; Ji M; Yang JJ
Surg Today; 2021 May; 51(5):756-763. PubMed ID: 33104877
[TBL] [Abstract][Full Text] [Related]
2. Predicting Peritoneal Metastasis of Gastric Cancer Patients Based on Machine Learning.
Zhou C; Wang Y; Ji MH; Tong J; Yang JJ; Xia H
Cancer Control; 2020; 27(1):1073274820968900. PubMed ID: 33115287
[TBL] [Abstract][Full Text] [Related]
3. Predicting postoperative liver cancer death outcomes with machine learning.
Wang Y; Ji C; Wang Y; Ji M; Yang JJ; Zhou CM
Curr Med Res Opin; 2021 Apr; 37(4):629-634. PubMed ID: 33539249
[TBL] [Abstract][Full Text] [Related]
4. Predicting postoperative delirium after microvascular decompression surgery with machine learning.
Wang Y; Lei L; Ji M; Tong J; Zhou CM; Yang JJ
J Clin Anesth; 2020 Nov; 66():109896. PubMed ID: 32504969
[TBL] [Abstract][Full Text] [Related]
5. A machine learning-based predictor for the identification of the recurrence of patients with gastric cancer after operation.
Zhou C; Hu J; Wang Y; Ji MH; Tong J; Yang JJ; Xia H
Sci Rep; 2021 Jan; 11(1):1571. PubMed ID: 33452440
[TBL] [Abstract][Full Text] [Related]
6. Supervised Machine Learning Predictive Analytics For Triple-Negative Breast Cancer Death Outcomes.
Xu Y; Ju L; Tong J; Zhou C; Yang J
Onco Targets Ther; 2019; 12():9059-9067. PubMed ID: 31802913
[TBL] [Abstract][Full Text] [Related]
7. Machine Learning Algorithms for Predicting the Recurrence of Stage IV Colorectal Cancer After Tumor Resection.
Xu Y; Ju L; Tong J; Zhou CM; Yang JJ
Sci Rep; 2020 Feb; 10(1):2519. PubMed ID: 32054897
[TBL] [Abstract][Full Text] [Related]
8. Machine Learning Can Predict Total Death After Radiofrequency Ablation in Liver Cancer Patients.
Tong J; Liu P; Ji M; Wang Y; Xue Q; Yang JJ; Zhou CM
Clin Med Insights Oncol; 2021; 15():11795549211000017. PubMed ID: 33854400
[TBL] [Abstract][Full Text] [Related]
9. Developing Machine Learning Algorithms to Predict Pulmonary Complications After Emergency Gastrointestinal Surgery.
Xue Q; Wen D; Ji MH; Tong J; Yang JJ; Zhou CM
Front Med (Lausanne); 2021; 8():655686. PubMed ID: 34409047
[No Abstract] [Full Text] [Related]
10. Predicting postoperative gastric cancer prognosis based on inflammatory factors and machine learning technology.
Zhou CM; Wang Y; Yang JJ; Zhu Y
BMC Med Inform Decis Mak; 2023 Mar; 23(1):53. PubMed ID: 37004065
[TBL] [Abstract][Full Text] [Related]
11. Machine learning predicts lymph node metastasis of poorly differentiated-type intramucosal gastric cancer.
Zhou CM; Wang Y; Ye HT; Yan S; Ji M; Liu P; Yang JJ
Sci Rep; 2021 Jan; 11(1):1300. PubMed ID: 33446730
[TBL] [Abstract][Full Text] [Related]
12. A comparative study of machine learning algorithms for predicting acute kidney injury after liver cancer resection.
Lei L; Wang Y; Xue Q; Tong J; Zhou CM; Yang JJ
PeerJ; 2020; 8():e8583. PubMed ID: 32140301
[TBL] [Abstract][Full Text] [Related]
13. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
14. Can a machine-learning model improve the prediction of nodal stage after a positive sentinel lymph node biopsy in breast cancer?
Madekivi V; Boström P; Karlsson A; Aaltonen R; Salminen E
Acta Oncol; 2020 Jun; 59(6):689-695. PubMed ID: 32148141
[No Abstract] [Full Text] [Related]
15. Predicting factors for survival of breast cancer patients using machine learning techniques.
Ganggayah MD; Taib NA; Har YC; Lio P; Dhillon SK
BMC Med Inform Decis Mak; 2019 Mar; 19(1):48. PubMed ID: 30902088
[TBL] [Abstract][Full Text] [Related]
16. Impact of age, intrinsic subtype and local treatment on long-term local-regional recurrence and breast cancer mortality among low-risk breast cancer patients.
Laurberg T; Alsner J; Tramm T; Jensen V; Lyngholm CD; Christiansen PM; Overgaard J
Acta Oncol; 2017 Jan; 56(1):59-67. PubMed ID: 27846764
[TBL] [Abstract][Full Text] [Related]
17. Machine Learning techniques in breast cancer prognosis prediction: A primary evaluation.
Boeri C; Chiappa C; Galli F; De Berardinis V; Bardelli L; Carcano G; Rovera F
Cancer Med; 2020 May; 9(9):3234-3243. PubMed ID: 32154669
[TBL] [Abstract][Full Text] [Related]
18. The Association of Extent of Axillary Surgery and Survival in Women with N2-3 Invasive Breast Cancer.
Park TS; Thomas SM; Rosenberger LH; Fayanju OM; Plichta JK; Blitzblau RC; Ong CT; Hyslop T; Hwang ES; Greenup RA
Ann Surg Oncol; 2018 Oct; 25(10):3019-3029. PubMed ID: 29978365
[TBL] [Abstract][Full Text] [Related]
19. Machine Learning Approaches to Radiogenomics of Breast Cancer using Low-Dose Perfusion Computed Tomography: Predicting Prognostic Biomarkers and Molecular Subtypes.
Park EK; Lee KS; Seo BK; Cho KR; Woo OH; Son GS; Lee HY; Chang YW
Sci Rep; 2019 Nov; 9(1):17847. PubMed ID: 31780739
[TBL] [Abstract][Full Text] [Related]
20. Time from breast cancer diagnosis to therapeutic surgery and breast cancer prognosis: A population-based cohort study.
Eriksson L; Bergh J; Humphreys K; Wärnberg F; Törnberg S; Czene K
Int J Cancer; 2018 Sep; 143(5):1093-1104. PubMed ID: 29603736
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]