170 related articles for article (PubMed ID: 38100485)
1. Machine learning based prediction of recurrence after curative resection for rectal cancer.
Jeon Y; Kim YJ; Jeon J; Nam KH; Hwang TS; Kim KG; Baek JH
PLoS One; 2023; 18(12):e0290141. PubMed ID: 38100485
[TBL] [Abstract][Full Text] [Related]
2. Development and validation of prediction models for papillary thyroid cancer structural recurrence using machine learning approaches.
Wang H; Zhang C; Li Q; Tian T; Huang R; Qiu J; Tian R
BMC Cancer; 2024 Apr; 24(1):427. PubMed ID: 38589799
[TBL] [Abstract][Full Text] [Related]
3. A Prediction Model for Tumor Recurrence in Stage II-III Colorectal Cancer Patients: From a Machine Learning Model to Genomic Profiling.
Chen PC; Yeh YM; Lin BW; Chan RH; Su PF; Liu YC; Lee CT; Chen SH; Lin PC
Biomedicines; 2022 Feb; 10(2):. PubMed ID: 35203549
[TBL] [Abstract][Full Text] [Related]
4. Development of a machine learning algorithm to predict complications of total laparoscopic anterior resection and natural orifice specimen extraction surgery in rectal cancer.
Wei R; Guan X; Liu E; Zhang W; Lv J; Huang H; Zhao Z; Chen H; Liu Z; Jiang Z; Wang X
Eur J Surg Oncol; 2023 Jul; 49(7):1258-1268. PubMed ID: 36653246
[TBL] [Abstract][Full Text] [Related]
5. [Rectum-preserving surgery after consolidation neoadjuvant therapy or totally neoadjuvant therapy for low rectal cancer: a preliminary report].
Huang Y; Huang SH; Chi P; Wang XJ; Lin HM; Lu XR; Ye DX; Lin Y; Deng Y
Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Mar; 23(3):281-288. PubMed ID: 32192308
[No Abstract] [Full Text] [Related]
6. Development and validation of a web-based artificial intelligence prediction model to assess massive intraoperative blood loss for metastatic spinal disease using machine learning techniques.
Shi X; Cui Y; Wang S; Pan Y; Wang B; Lei M
Spine J; 2024 Jan; 24(1):146-160. PubMed ID: 37704048
[TBL] [Abstract][Full Text] [Related]
7. Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer.
Yu M; Yuan Z; Li R; Shi B; Wan D; Dong X
Front Oncol; 2024; 14():1337219. PubMed ID: 38380369
[TBL] [Abstract][Full Text] [Related]
8. External validation and comparison of MR-based radiomics models for predicting pathological complete response in locally advanced rectal cancer: a two-centre, multi-vendor study.
Wei Q; Chen Z; Tang Y; Chen W; Zhong L; Mao L; Hu S; Wu Y; Deng K; Yang W; Liu X
Eur Radiol; 2023 Mar; 33(3):1906-1917. PubMed ID: 36355199
[TBL] [Abstract][Full Text] [Related]
9. Endorectal ultrasound radiomics in locally advanced rectal cancer patients: despeckling and radiotherapy response prediction using machine learning.
Abbaspour S; Abdollahi H; Arabalibeik H; Barahman M; Arefpour AM; Fadavi P; Ay M; Mahdavi SR
Abdom Radiol (NY); 2022 Nov; 47(11):3645-3659. PubMed ID: 35951085
[TBL] [Abstract][Full Text] [Related]
10. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
Tang J; Wang X; Wan H; Lin C; Shao Z; Chang Y; Wang H; Wu Y; Zhang T; Du Y
BMC Med Inform Decis Mak; 2022 Oct; 22(1):278. PubMed ID: 36284327
[TBL] [Abstract][Full Text] [Related]
11. Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.
Liang M; Cai Z; Zhang H; Huang C; Meng Y; Zhao L; Li D; Ma X; Zhao X
Acad Radiol; 2019 Nov; 26(11):1495-1504. PubMed ID: 30711405
[TBL] [Abstract][Full Text] [Related]
12. Construction and validation of a progression prediction model for locally advanced rectal cancer patients received neoadjuvant chemoradiotherapy followed by total mesorectal excision based on machine learning.
Hu J; Sheng Y; Ma J; Tang Y; Liu D; Zhang J; Wei X; Yang Y; Liu Y; Zhang Y; Wang G
Front Oncol; 2023; 13():1231508. PubMed ID: 38328435
[TBL] [Abstract][Full Text] [Related]
13. Extensive surgery after high-dose preoperative chemoradiotherapy for locally advanced recurrent rectal cancer.
Rödel C; Grabenbauer GG; Matzel KE; Schick C; Fietkau R; Papadopoulos T; Martus P; Hohenberger W; Sauer R
Dis Colon Rectum; 2000 Mar; 43(3):312-9. PubMed ID: 10733111
[TBL] [Abstract][Full Text] [Related]
14. Defining and predicting early recurrence in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy.
Zheng Z; Wang X; Huang Y; Lu X; Huang Z; Chi P
Eur J Surg Oncol; 2020 Nov; 46(11):2057-2063. PubMed ID: 32782202
[TBL] [Abstract][Full Text] [Related]
15. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.
Chen X; Pan J; Li Y; Tang R
Aging Clin Exp Res; 2023 Nov; 35(11):2643-2656. PubMed ID: 37733228
[TBL] [Abstract][Full Text] [Related]
16. Early-stage rectal cancer: clinical and pathologic prognostic markers of time to local recurrence and overall survival after resection.
Patel SA; Chen YH; Hornick JL; Catalano P; Nowak JA; Zukerberg LR; Bleday R; Shellito PC; Hong TS; Mamon HJ
Dis Colon Rectum; 2014 Apr; 57(4):449-59. PubMed ID: 24608301
[TBL] [Abstract][Full Text] [Related]
17. [Efficacy analysis of neoadjuvant chemoradiotherapy combined with total pelvic exenteration in the treatment of primary T4b rectal cancer].
Wu T; Wen L; Zhang J; Wu Y; Jiang Y; Chen G; Wang X; Huang S; Wan Y
Zhonghua Wei Chang Wai Ke Za Zhi; 2019 Jan; 22(1):59-65. PubMed ID: 30703795
[TBL] [Abstract][Full Text] [Related]
18. Preoperative chemoradiotherapy and total mesorectal excision surgery for locally advanced rectal cancer: correlation with rectal cancer regression grade.
Wheeler JM; Dodds E; Warren BF; Cunningham C; George BD; Jones AC; Mortensen NJ
Dis Colon Rectum; 2004 Dec; 47(12):2025-31. PubMed ID: 15657650
[TBL] [Abstract][Full Text] [Related]
19. Metastatic pattern and new primary tumours after neoadjuvant therapy and surgery in rectal cancer.
Frambach P; Pucciarelli S; Perin A; Zuin M; Toppan P; Maretto I; Urso EDL; Spolverato G
Colorectal Dis; 2018 Dec; 20(12):O326-O334. PubMed ID: 30230157
[TBL] [Abstract][Full Text] [Related]
20. A 5-year survival status prognosis of nonmetastatic cervical cancer patients through machine learning algorithms.
Yu W; Lu Y; Shou H; Xu H; Shi L; Geng X; Song T
Cancer Med; 2023 Mar; 12(6):6867-6876. PubMed ID: 36479910
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
