16 related articles for article (PubMed ID: 38704899)
1. Predicting lung cancer's metastats' locations using bioclinical model.
Lazebnik T; Bunimovich-Mendrazitsky S
Front Med (Lausanne); 2024; 11():1388702. PubMed ID: 38846148
[TBL] [Abstract][Full Text] [Related]
2. Improving machine learning predictions for metastases in colorectal cancer.
Azlan A; Rafaqat Z; Ahmad A
Eur J Surg Oncol; 2024 May; ():108440. PubMed ID: 38816257
[No Abstract] [Full Text] [Related]
3. Applying machine learning techniques to predict the risk of lung metastases from rectal cancer: a real-world retrospective study.
Qiu B; Shen Z; Yang D; Wang Q
Front Oncol; 2023; 13():1183072. PubMed ID: 37293595
[TBL] [Abstract][Full Text] [Related]
4. A machine learning-based model for predicting distant metastasis in patients with rectal cancer.
Qiu B; Shen Z; Wu S; Qin X; Yang D; Wang Q
Front Oncol; 2023; 13():1235121. PubMed ID: 37655097
[TBL] [Abstract][Full Text] [Related]
5. Application of machine learning techniques in real-world research to predict the risk of liver metastasis in rectal cancer.
Qiu B; Su XH; Qin X; Wang Q
Front Oncol; 2022; 12():1065468. PubMed ID: 36605425
[TBL] [Abstract][Full Text] [Related]
6. An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning.
Li W; Liu W; Hussain Memon F; Wang B; Xu C; Dong S; Wang H; Hu Z; Quan X; Deng Y; Liu Q; Su S; Yin C
Comput Intell Neurosci; 2022; 2022():2220527. PubMed ID: 35571720
[TBL] [Abstract][Full Text] [Related]
7. Machine learning based on SEER database to predict distant metastasis of thyroid cancer.
Qiao L; Li H; Wang Z; Sun H; Feng G; Yin D
Endocrine; 2023 Dec; ():. PubMed ID: 38155324
[TBL] [Abstract][Full Text] [Related]
8. Machine learning for predicting liver and/or lung metastasis in colorectal cancer: A retrospective study based on the SEER database.
Guo Z; Zhang Z; Liu L; Zhao Y; Liu Z; Zhang C; Qi H; Feng J; Yang C; Tai W; Banchini F; Inchingolo R
Eur J Surg Oncol; 2024 Apr; 50(7):108362. PubMed ID: 38704899
[TBL] [Abstract][Full Text] [Related]
9.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
10.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
11.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
12.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
13.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
14.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
15.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
16.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]