119 related articles for article (PubMed ID: 37979476)
1. Using machine learning algorithms to predict the prognosis of advanced nasopharyngeal carcinoma after intensity-modulated radiotherapy.
Hu D; Wang Y; Ji G; Liu Y
Curr Probl Cancer; 2024 Feb; 48():101040. PubMed ID: 37979476
[TBL] [Abstract][Full Text] [Related]
2. Machine learning algorithms to predict the 1 year unfavourable prognosis for advanced schistosomiasis.
Jiang H; Deng W; Zhou J; Ren G; Cai X; Li S; Hu B; Li C; Shi Y; Zhang N; Zheng Y; Chen Y; Jiang Q; Zhou Y
Int J Parasitol; 2021 Oct; 51(11):959-965. PubMed ID: 33891933
[TBL] [Abstract][Full Text] [Related]
3. Tumor residue in patients with stage II-IVA nasopharyngeal carcinoma who received intensity-modulated radiation therapy: development and validation of a prediction nomogram integrating postradiotherapy plasma Epstein-Barr virus deoxyribonucleic acid, clinical stage, and radiotherapy dose.
Huang YY; Zhou JY; Zhan ZJ; Ke LR; Xia WX; Cao X; Cai ZC; Deng Y; Chen X; Zhang LL; Huang HY; Guo X; Lv X
BMC Cancer; 2023 May; 23(1):410. PubMed ID: 37149594
[TBL] [Abstract][Full Text] [Related]
4. A deep learning-based method for the prediction of temporal lobe injury in patients with nasopharyngeal carcinoma.
Ren W; Liang B; Sun C; Wu R; Men K; Chen H; Feng X; Hou L; Han F; Yi J; Dai J
Phys Med; 2024 May; 121():103362. PubMed ID: 38653120
[TBL] [Abstract][Full Text] [Related]
5. Early detection of nasopharyngeal carcinoma through machine-learning-driven prediction model in a population-based healthcare record database.
Chen JW; Lin ST; Lin YC; Wang BS; Chien YN; Chiou HY
Cancer Med; 2024 Apr; 13(7):e7144. PubMed ID: 38545735
[TBL] [Abstract][Full Text] [Related]
6. A prediction model for xerostomia in locoregionally advanced nasopharyngeal carcinoma patients receiving radical radiotherapy.
Li M; Zhang J; Zha Y; Li Y; Hu B; Zheng S; Zhou J
BMC Oral Health; 2022 Jun; 22(1):239. PubMed ID: 35715856
[TBL] [Abstract][Full Text] [Related]
7. Toxicity Profiles and Survival Outcomes Among Patients With Nonmetastatic Nasopharyngeal Carcinoma Treated With Intensity-Modulated Proton Therapy vs Intensity-Modulated Radiation Therapy.
Li X; Kitpanit S; Lee A; Mah D; Sine K; Sherman EJ; Dunn LA; Michel LS; Fetten J; Zakeri K; Yu Y; Chen L; Kang JJ; Gelblum DY; McBride SM; Tsai CJ; Riaz N; Lee NY
JAMA Netw Open; 2021 Jun; 4(6):e2113205. PubMed ID: 34143193
[TBL] [Abstract][Full Text] [Related]
8. Normal tissue complication probability (NTCP) models for predicting temporal lobe injury after intensity-modulated radiotherapy in nasopharyngeal carcinoma: A large registry-based retrospective study from China.
Wen DW; Lin L; Mao YP; Chen CY; Chen FP; Wu CF; Huang XD; Li ZX; Xu SS; Kou J; Yang XL; Ma J; Sun Y; Zhou GQ
Radiother Oncol; 2021 Apr; 157():99-105. PubMed ID: 33484752
[TBL] [Abstract][Full Text] [Related]
9. Integrating pretreatment MRI-detected nodal features and Epstein-Barr virus DNA to identify optimal candidates for intensity-modulated radiotherapy alone in patients with stage II nasopharyngeal carcinoma.
Guo J; He Y; Lin C; Jiang Q; Xing HW; Zhang YC; Shen GZ; Lin HX; Guo L; Yang Q
Oral Oncol; 2023 Nov; 146():106574. PubMed ID: 37741017
[TBL] [Abstract][Full Text] [Related]
10. Prognostic Value of Plasma Epstein-Barr Virus DNA for Local and Regionally Advanced Nasopharyngeal Carcinoma Treated With Cisplatin-Based Concurrent Chemoradiotherapy in Intensity-Modulated Radiotherapy Era.
Chen WH; Tang LQ; Guo SS; Chen QY; Zhang L; Liu LT; Qian CN; Guo X; Xie D; Zeng MS; Mai HQ
Medicine (Baltimore); 2016 Feb; 95(5):e2642. PubMed ID: 26844482
[TBL] [Abstract][Full Text] [Related]
11. Prognostic value and predictive threshold of tumor volume for patients with locally advanced nasopharyngeal carcinoma receiving intensity-modulated radiotherapy.
He YX; Wang Y; Cao PF; Shen L; Zhao YJ; Zhang ZJ; Chen DM; Yang TB; Huang XQ; Qin Z; Dai YY; Shen LF
Chin J Cancer; 2016 Nov; 35(1):96. PubMed ID: 27852284
[TBL] [Abstract][Full Text] [Related]
12. [Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning].
Zhu M; Hu C; He Y; Qian Y; Tang S; Hu Q; Hao C
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Jul; 35(7):696-701. PubMed ID: 37545445
[TBL] [Abstract][Full Text] [Related]
13. Predictive Value of ERCC1 mRNA Level from Receiver-Operator Characteristic and Pretreatment EBV-DNA Virus Load in Stage II Nasopharyngeal Carcinoma Patients Receiving Intensity-Modulated Radiotherapy with Concurrent Cisplatin.
Hua L; Chen S; Wei M; Shen Y; Long J; Lin Z; Meng Y; Guo C; Huang H; Tu X; Yao M
Cancer Biother Radiopharm; 2022 Feb; 37(1):2-10. PubMed ID: 33764811
[No Abstract] [Full Text] [Related]
14. Establishment of a prognostic model for gastric cancer patients who underwent radical gastrectomy using machine learning: a two-center study.
Lu T; Lu M; Liu H; Song D; Wang Z; Guo Y; Fang Y; Chen Q; Li T
Front Oncol; 2023; 13():1282042. PubMed ID: 38665864
[TBL] [Abstract][Full Text] [Related]
15. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
[TBL] [Abstract][Full Text] [Related]
16. Dosiomics-based prediction of radiation-induced hypothyroidism in nasopharyngeal carcinoma patients.
Ren W; Liang B; Sun C; Wu R; Men K; Xu Y; Han F; Yi J; Qu Y; Dai J
Phys Med; 2021 Sep; 89():219-225. PubMed ID: 34425512
[TBL] [Abstract][Full Text] [Related]
17. Prognostic value of plasma Epstein-Barr virus DNA level during posttreatment follow-up in the patients with nasopharyngeal carcinoma having undergone intensity-modulated radiotherapy.
Li WF; Zhang Y; Huang XB; Du XJ; Tang LL; Chen L; Peng H; Guo R; Sun Y; Ma J
Chin J Cancer; 2017 Nov; 36(1):87. PubMed ID: 29116021
[TBL] [Abstract][Full Text] [Related]
18. Uncovering nasopharyngeal carcinoma from chronic rhinosinusitis and healthy subjects using routine medical tests via machine learning.
Liu Q; Du J; Li Y; Peng G; Wang X; Zhong Y; Du R
PLoS One; 2022; 17(9):e0274263. PubMed ID: 36083977
[TBL] [Abstract][Full Text] [Related]
19. Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma.
Zhang B; He X; Ouyang F; Gu D; Dong Y; Zhang L; Mo X; Huang W; Tian J; Zhang S
Cancer Lett; 2017 Sep; 403():21-27. PubMed ID: 28610955
[TBL] [Abstract][Full Text] [Related]
20. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
