33 related articles for article (PubMed ID: 11309764)
1. Develop prediction model to help forecast advanced prostate cancer patients' prognosis after surgery using neural network.
Li S; Cai S; Huang J; Li Z; Shi Z; Zhang K; Jiao J; Li W; Pan Y
Front Endocrinol (Lausanne); 2024; 15():1293953. PubMed ID: 38577575
[TBL] [Abstract][Full Text] [Related]
2. Exploring the efficacy of artificial neural networks in predicting lung cancer recurrence: a retrospective study based on patient records.
Lorenc A; Romaszko-Wojtowicz A; Jaśkiewicz Ł; Doboszyńska A; Buciński A
Transl Lung Cancer Res; 2023 Oct; 12(10):2083-2097. PubMed ID: 38025814
[TBL] [Abstract][Full Text] [Related]
3. Artificial neural network-based diagnostic models for lung cancer combining conventional indicators with tumor markers.
Luo Y; Yuan H; Pei Q; Chen Y; Xian J; Du R; Ye T
Exp Biol Med (Maywood); 2023 May; 248(10):829-838. PubMed ID: 37403334
[TBL] [Abstract][Full Text] [Related]
4. Clinical application of artificial neural network (ANN) modeling to predict BRCA1/2 germline deleterious variants in Chinese bilateral primary breast cancer patients.
Li Y; Chen L; Lv J; Chen X; Zeng B; Chen M; Guo W; Lin Y; Yu L; Hou J; Li J; Zhou P; Zhang W; Li S; Jin X; Cai W; Zhang K; Huang Y; Wang C; Fu F
BMC Cancer; 2022 Nov; 22(1):1125. PubMed ID: 36324133
[TBL] [Abstract][Full Text] [Related]
5. Risk prediction models for biochemical recurrence after radical prostatectomy using prostate-specific antigen and Gleason score.
Hu XH; Cammann H; Meyer HA; Jung K; Lu HB; Leva N; Magheli A; Stephan C; Busch J
Asian J Androl; 2014; 16(6):897-901. PubMed ID: 25130472
[TBL] [Abstract][Full Text] [Related]
6. Artificial neural networks and prostate cancer--tools for diagnosis and management.
Hu X; Cammann H; Meyer HA; Miller K; Jung K; Stephan C
Nat Rev Urol; 2013 Mar; 10(3):174-82. PubMed ID: 23399728
[TBL] [Abstract][Full Text] [Related]
7. Applications of machine learning in cancer prediction and prognosis.
Cruz JA; Wishart DS
Cancer Inform; 2007 Feb; 2():59-77. PubMed ID: 19458758
[TBL] [Abstract][Full Text] [Related]
8. Artificial neural networks for decision-making in urologic oncology.
Anagnostou T; Remzi M; Djavan B
Rev Urol; 2003; 5(1):15-21. PubMed ID: 16985612
[TBL] [Abstract][Full Text] [Related]
9. Artificial neural networks for prostate carcinoma risk assessment. An overview.
Montie JE; Wei JT
Cancer; 2001 Apr; 91(8 Suppl):1647-52. PubMed ID: 11309763
[No Abstract] [Full Text] [Related]
10. Artificial neural networks for cancer research: outcome prediction.
Burke HB
Semin Surg Oncol; 1994; 10(1):73-9. PubMed ID: 8115788
[TBL] [Abstract][Full Text] [Related]
11. Impact of different variables on the outcome of patients with clinically confined prostate carcinoma: prediction of pathologic stage and biochemical failure using an artificial neural network.
Ziada AM; Lisle TC; Snow PB; Levine RF; Miller G; Crawford ED
Cancer; 2001 Apr; 91(8 Suppl):1653-60. PubMed ID: 11309764
[TBL] [Abstract][Full Text] [Related]
12. An artificial neural network for prostate cancer staging when serum prostate specific antigen is 10 ng./ml. or less.
Zlotta AR; Remzi M; Snow PB; Schulman CC; Marberger M; Djavan B
J Urol; 2003 May; 169(5):1724-8. PubMed ID: 12686818
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of artificial neural networks for the prediction of pathologic stage in prostate carcinoma.
Han M; Snow PB; Brandt JM; Partin AW
Cancer; 2001 Apr; 91(8 Suppl):1661-6. PubMed ID: 11309765
[TBL] [Abstract][Full Text] [Related]
14. Preoperative neural network using combined magnetic resonance imaging variables, prostate-specific antigen, and gleason score for predicting prostate cancer biochemical recurrence after radical prostatectomy.
Poulakis V; Witzsch U; de Vries R; Emmerlich V; Meves M; Altmannsberger HM; Becht E
Urology; 2004 Dec; 64(6):1165-70. PubMed ID: 15596191
[TBL] [Abstract][Full Text] [Related]
15. Preoperative neural network using combined magnetic resonance imaging variables, prostate-specific antigen, and Gleason score to predict positive surgical margins.
Poulakis V; Witzsch U; de Vries R; Emmerlich V; Meves M; Altmannsberger HM; Becht E
Urology; 2004 Sep; 64(3):516-21. PubMed ID: 15351582
[TBL] [Abstract][Full Text] [Related]
16.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
17.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
