334 related articles for article (PubMed ID: 32593506)
1. Development of robust artificial neural networks for prediction of 5-year survival in bladder cancer.
Bhambhvani HP; Zamora A; Shkolyar E; Prado K; Greenberg DR; Kasman AM; Liao J; Shah S; Srinivas S; Skinner EC; Shah JB
Urol Oncol; 2021 Mar; 39(3):193.e7-193.e12. PubMed ID: 32593506
[TBL] [Abstract][Full Text] [Related]
2. Deep learning enabled prediction of 5-year survival in pediatric genitourinary rhabdomyosarcoma.
Bhambhvani HP; Zamora A; Velaer K; Greenberg DR; Sheth KR
Surg Oncol; 2021 Mar; 36():23-27. PubMed ID: 33276260
[TBL] [Abstract][Full Text] [Related]
3. How Does the Skeletal Oncology Research Group Algorithm's Prediction of 5-year Survival in Patients with Chondrosarcoma Perform on International Validation?
Bongers MER; Karhade AV; Setola E; Gambarotti M; Groot OQ; Erdoğan KE; Picci P; Donati DM; Schwab JH; Palmerini E
Clin Orthop Relat Res; 2020 Oct; 478(10):2300-2308. PubMed ID: 32433107
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Prediction of outcome in patients with urothelial carcinoma of the bladder following radical cystectomy using artificial neural networks.
Buchner A; May M; Burger M; Bolenz C; Herrmann E; Fritsche HM; Ellinger J; Höfner T; Nuhn P; Gratzke C; Brookman-May S; Melchior S; Peter J; Moritz R; Tilki D; Gilfrich C; Roigas J; Zacharias M; Hohenfellner M; Haferkamp A; Trojan L; Wieland WF; Müller SC; Stief CG; Bastian PJ
Eur J Surg Oncol; 2013 Apr; 39(4):372-9. PubMed ID: 23465180
[TBL] [Abstract][Full Text] [Related]
6. Use of machine learning to predict bladder cancer survival outcomes: a systematic literature review.
Liu YS; Thaliffdeen R; Han S; Park C
Expert Rev Pharmacoecon Outcomes Res; 2023; 23(7):761-771. PubMed ID: 37306511
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Machine learning-based development and validation of a scoring system for progression-free survival in liver cancer.
Liu X; Hou Y; Wang X; Yu L; Wang X; Jiang L; Yang Z
Hepatol Int; 2020 Jul; 14(4):567-576. PubMed ID: 32556865
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. The Cancer of the Bladder Risk Assessment (COBRA) score: Estimating mortality after radical cystectomy.
Welty CJ; Sanford TH; Wright JL; Carroll PR; Cooperberg MR; Meng MV; Porten SP
Cancer; 2017 Dec; 123(23):4574-4582. PubMed ID: 28881475
[TBL] [Abstract][Full Text] [Related]
11. Prognostic accuracy of an artificial neural network in patients undergoing radical cystectomy for bladder cancer: a comparison with logistic regression analysis.
Bassi P; Sacco E; De Marco V; Aragona M; Volpe A
BJU Int; 2007 May; 99(5):1007-12. PubMed ID: 17437435
[TBL] [Abstract][Full Text] [Related]
12. The prediction of cancer-specific mortality in T1 non-muscle-invasive bladder cancer: comparison of logistic regression and artificial neural network: a SEER population-based study.
Ślusarczyk A; Zapała P; Olszewska-Ślusarczyk Z; Radziszewski P
Int Urol Nephrol; 2023 Sep; 55(9):2205-2213. PubMed ID: 37280316
[TBL] [Abstract][Full Text] [Related]
13. Development and validation of an artificial neural network prognostic model after gastrectomy for gastric carcinoma: An international multicenter cohort study.
Li Z; Wu X; Gao X; Shan F; Ying X; Zhang Y; Ji J
Cancer Med; 2020 Sep; 9(17):6205-6215. PubMed ID: 32666682
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Development of Machine Learning Algorithms for Prediction of 5-Year Spinal Chordoma Survival.
Karhade AV; Thio Q; Ogink P; Kim J; Lozano-Calderon S; Raskin K; Schwab JH
World Neurosurg; 2018 Nov; 119():e842-e847. PubMed ID: 30096498
[TBL] [Abstract][Full Text] [Related]
16. Immune Cell-Associated Protein Expression Helps to Predict Survival in Muscle-Invasive Urothelial Bladder Cancer Patients after Radical Cystectomy and Optional Adjuvant Chemotherapy.
Taubert H; Eckstein M; Epple E; Jung R; Weigelt K; Lieb V; Sikic D; Stöhr R; Geppert C; Weyerer V; Bertz S; Kehlen A; Hartmann A; Wullich B; Wach S
Cells; 2021 Jan; 10(1):. PubMed ID: 33467469
[TBL] [Abstract][Full Text] [Related]
17. Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.
Rahimian F; Salimi-Khorshidi G; Payberah AH; Tran J; Ayala Solares R; Raimondi F; Nazarzadeh M; Canoy D; Rahimi K
PLoS Med; 2018 Nov; 15(11):e1002695. PubMed ID: 30458006
[TBL] [Abstract][Full Text] [Related]
18. Nomograms to predict individual prognosis of patients with squamous cell carcinoma of the urinary bladder.
Zhang G; Li Z; Song D; Fang Z
BMC Cancer; 2019 Dec; 19(1):1200. PubMed ID: 31818271
[TBL] [Abstract][Full Text] [Related]
19. Examining the Ability of Artificial Neural Networks Machine Learning Models to Accurately Predict Complications Following Posterior Lumbar Spine Fusion.
Kim JS; Merrill RK; Arvind V; Kaji D; Pasik SD; Nwachukwu CC; Vargas L; Osman NS; Oermann EK; Caridi JM; Cho SK
Spine (Phila Pa 1976); 2018 Jun; 43(12):853-860. PubMed ID: 29016439
[TBL] [Abstract][Full Text] [Related]
20. Personal Health Information Inference Using Machine Learning on RNA Expression Data from Patients With Cancer: Algorithm Validation Study.
Kweon S; Lee JH; Lee Y; Park YR
J Med Internet Res; 2020 Aug; 22(8):e18387. PubMed ID: 32773372
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]