160 related articles for article (PubMed ID: 38408960)
21. A nomogram to predict the cancer-specific survival of stage II-IV Epithelial ovarian cancer after bulking surgery and chemotherapy.
Zhao L; Yu P; Zhang L
Cancer Med; 2021 Jul; 10(13):4344-4355. PubMed ID: 34057318
[TBL] [Abstract][Full Text] [Related]
22. Nomogram for predicting postoperative cancer-specific early death in patients with epithelial ovarian cancer based on the SEER database: a large cohort study.
Zhang T; Zhu L
Arch Gynecol Obstet; 2022 Jun; 305(6):1535-1549. PubMed ID: 34841445
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Integrated clinical characteristics and omics analysis identifies a ferroptosis and iron-metabolism-related lncRNA signature for predicting prognosis and therapeutic responses in ovarian cancer.
Feng S; Yin H; Zhang K; Shan M; Ji X; Luo S; Shen Y
J Ovarian Res; 2022 Jan; 15(1):10. PubMed ID: 35057848
[TBL] [Abstract][Full Text] [Related]
25. Histopathological image and gene expression pattern analysis for predicting molecular features and prognosis of head and neck squamous cell carcinoma.
Chen L; Zeng H; Zhang M; Luo Y; Ma X
Cancer Med; 2021 Jul; 10(13):4615-4628. PubMed ID: 33987946
[TBL] [Abstract][Full Text] [Related]
26. Development and validation of a nomogram to predict survival outcome among epithelial ovarian cancer patients with site-distant metastases: a population-based study.
Wang B; Wang S; Ren W
BMC Cancer; 2021 May; 21(1):609. PubMed ID: 34034697
[TBL] [Abstract][Full Text] [Related]
27. Identifying Explainable Machine Learning Models and a Novel SFRP2
Yang Z; Zhou D; Huang J
Int J Mol Sci; 2023 Nov; 24(23):. PubMed ID: 38069266
[TBL] [Abstract][Full Text] [Related]
28. Machine Learning Radiomics Liver Function Model for Prognostic Prediction After Radical Resection of Advanced Gastric Cancer: A Retrospective Study.
Shao J; Jiang Z; Jiang H; Ye Q; Jiang Y; Zhang W; Huang Y; Shen X; Lu X; Wang X
Ann Surg Oncol; 2024 Mar; 31(3):1749-1759. PubMed ID: 38112885
[TBL] [Abstract][Full Text] [Related]
29. Assessment of peritoneal microbial features and tumor marker levels as potential diagnostic tools for ovarian cancer.
Miao R; Badger TC; Groesch K; Diaz-Sylvester PL; Wilson T; Ghareeb A; Martin JA; Cregger M; Welge M; Bushell C; Auvil L; Zhu R; Brard L; Braundmeier-Fleming A
PLoS One; 2020; 15(1):e0227707. PubMed ID: 31917801
[TBL] [Abstract][Full Text] [Related]
30. A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients.
Arezzo F; Cormio G; La Forgia D; Santarsiero CM; Mongelli M; Lombardi C; Cazzato G; Cicinelli E; Loizzi V
Arch Gynecol Obstet; 2022 Dec; 306(6):2143-2154. PubMed ID: 35532797
[TBL] [Abstract][Full Text] [Related]
31. Application of Machine Learning Algorithms to Predict Acute Kidney Injury in Elderly Orthopedic Postoperative Patients.
Chen Q; Zhang Y; Zhang M; Li Z; Liu J
Clin Interv Aging; 2022; 17():317-330. PubMed ID: 35386749
[TBL] [Abstract][Full Text] [Related]
32. Use of machine learning-based integration to develop an immune-related signature for improving prognosis in patients with gastric cancer.
Ning J; Sun K; Fan X; Jia K; Meng L; Wang X; Li H; Ma R; Liu S; Li F; Wang X
Sci Rep; 2023 Apr; 13(1):7019. PubMed ID: 37120631
[TBL] [Abstract][Full Text] [Related]
33. A signature based on anoikis-related genes for the evaluation of prognosis, immunoinfiltration, mutation, and therapeutic response in ovarian cancer.
Duan Y; Xu X
Front Endocrinol (Lausanne); 2023; 14():1193622. PubMed ID: 37383389
[TBL] [Abstract][Full Text] [Related]
34. An EMT-based gene signature enhances the clinical understanding and prognostic prediction of patients with ovarian cancers.
Li QJ; Wu ZL; Wang J; Jiang J; Lin B
J Ovarian Res; 2023 Mar; 16(1):51. PubMed ID: 36907877
[TBL] [Abstract][Full Text] [Related]
35. Peripheral and tumor-infiltrating immune cells are correlated with patient outcomes in ovarian cancer.
Zhang W; Ling Y; Li Z; Peng X; Ren Y
Cancer Med; 2023 Apr; 12(8):10045-10061. PubMed ID: 36645174
[TBL] [Abstract][Full Text] [Related]
36. Identification of a Tumor Microenvironment-relevant Gene set-based Prognostic Signature and Related Therapy Targets in Gastric Cancer.
Cai WY; Dong ZN; Fu XT; Lin LY; Wang L; Ye GD; Luo QC; Chen YC
Theranostics; 2020; 10(19):8633-8647. PubMed ID: 32754268
[No Abstract] [Full Text] [Related]
37. Comprehensive machine-learning survival framework develops a consensus model in large-scale multicenter cohorts for pancreatic cancer.
Wang L; Liu Z; Liang R; Wang W; Zhu R; Li J; Xing Z; Weng S; Han X; Sun YL
Elife; 2022 Oct; 11():. PubMed ID: 36282174
[TBL] [Abstract][Full Text] [Related]
38. Establishment and verification of the nomogram that predicts the 3-year recurrence risk of epithelial ovarian carcinoma.
Hu J; Jiao X; Zhu L; Guo H; Wu Y
BMC Cancer; 2020 Sep; 20(1):938. PubMed ID: 32993522
[TBL] [Abstract][Full Text] [Related]
39. Development and validation of a clinic machine-learning nomogram for the prediction of risk stratifications of prostate cancer based on functional subsets of peripheral lymphocyte.
Yang C; Liu Z; Fang Y; Cao X; Xu G; Wang Z; Hu Z; Wang S; Wu X
J Transl Med; 2023 Jul; 21(1):465. PubMed ID: 37438820
[TBL] [Abstract][Full Text] [Related]
40. Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?
El-Galaly A; Grazal C; Kappel A; Nielsen PT; Jensen SL; Forsberg JA
Clin Orthop Relat Res; 2020 Sep; 478(9):2088-2101. PubMed ID: 32667760
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]