161 related articles for article (PubMed ID: 36203663)
1. Predictive models based on machine learning for bone metastasis in patients with diagnosed colorectal cancer.
Li T; Huang H; Zhang S; Zhang Y; Jing H; Sun T; Zhang X; Lu L; Zhang M
Front Public Health; 2022; 10():984750. PubMed ID: 36203663
[TBL] [Abstract][Full Text] [Related]
2. A reliable method for colorectal cancer prediction based on feature selection and support vector machine.
Zhao D; Liu H; Zheng Y; He Y; Lu D; Lyu C
Med Biol Eng Comput; 2019 Apr; 57(4):901-912. PubMed ID: 30478811
[TBL] [Abstract][Full Text] [Related]
3. Machine learning for the prediction of bone metastasis in patients with newly diagnosed thyroid cancer.
Liu WC; Li ZQ; Luo ZW; Liao WJ; Liu ZL; Liu JM
Cancer Med; 2021 Apr; 10(8):2802-2811. PubMed ID: 33709570
[TBL] [Abstract][Full Text] [Related]
4. Blood Biomarkers Panels for Screening of Colorectal Cancer and Adenoma on a Machine Learning-Assisted Detection Platform.
Wang H; Zhou Z; Li H; Xiang W; Lan Y; Dou X; Zhang X
Cancer Control; 2023; 30():10732748231222109. PubMed ID: 38146088
[TBL] [Abstract][Full Text] [Related]
5. Construction and validation of machine learning models for predicting distant metastases in newly diagnosed colorectal cancer patients: A large-scale and real-world cohort study.
Wei R; Yu G; Wang X; Jiang Z; Guan X
Cancer Med; 2024 Mar; 13(5):e6971. PubMed ID: 38491804
[TBL] [Abstract][Full Text] [Related]
6. Artificial intelligence based personalized predictive survival among colorectal cancer patients.
Susič D; Syed-Abdul S; Dovgan E; Jonnagaddala J; Gradišek A
Comput Methods Programs Biomed; 2023 Apr; 231():107435. PubMed ID: 36842345
[TBL] [Abstract][Full Text] [Related]
7. Application of Machine Learning Techniques to Predict Bone Metastasis in Patients with Prostate Cancer.
Liu WC; Li MX; Qian WX; Luo ZW; Liao WJ; Liu ZL; Liu JM
Cancer Manag Res; 2021; 13():8723-8736. PubMed ID: 34849027
[TBL] [Abstract][Full Text] [Related]
8. Machine learning-based classifiers to predict metastasis in colorectal cancer patients.
Talebi R; Celis-Morales CA; Akbari A; Talebi A; Borumandnia N; Pourhoseingholi MA
Front Artif Intell; 2024; 7():1285037. PubMed ID: 38327669
[TBL] [Abstract][Full Text] [Related]
9. A clinical model to predict the risk of synchronous bone metastasis in newly diagnosed colorectal cancer: a population-based study.
Guan X; Ma CX; Quan JC; Li S; Zhao ZX; Chen HP; Yang M; Liu Z; Jiang Z; Wang XS
BMC Cancer; 2019 Jul; 19(1):704. PubMed ID: 31315606
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Comparison between logistic regression and machine learning algorithms on survival prediction of traumatic brain injuries.
Feng JZ; Wang Y; Peng J; Sun MW; Zeng J; Jiang H
J Crit Care; 2019 Dec; 54():110-116. PubMed ID: 31408805
[TBL] [Abstract][Full Text] [Related]
12. Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review.
Buchlak QD; Esmaili N; Leveque JC; Farrokhi F; Bennett C; Piccardi M; Sethi RK
Neurosurg Rev; 2020 Oct; 43(5):1235-1253. PubMed ID: 31422572
[TBL] [Abstract][Full Text] [Related]
13. Using Machine Learning Approaches to Predict Short-Term Risk of Cardiotoxicity Among Patients with Colorectal Cancer After Starting Fluoropyrimidine-Based Chemotherapy.
Li C; Chen L; Chou C; Ngorsuraches S; Qian J
Cardiovasc Toxicol; 2022 Feb; 22(2):130-140. PubMed ID: 34792740
[TBL] [Abstract][Full Text] [Related]
14. Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data.
Li H; Lin J; Xiao Y; Zheng W; Zhao L; Yang X; Zhong M; Liu H
Technol Cancer Res Treat; 2021; 20():15330338211058352. PubMed ID: 34806496
[No Abstract] [Full Text] [Related]
15. Can machine learning predict pharmacotherapy outcomes? An application study in osteoporosis.
Lin YT; Chu CY; Hung KS; Lu CH; Bednarczyk EM; Chen HY
Comput Methods Programs Biomed; 2022 Oct; 225():107028. PubMed ID: 35930862
[TBL] [Abstract][Full Text] [Related]
16. Prediction of lung metastases in thyroid cancer using machine learning based on SEER database.
Liu W; Wang S; Ye Z; Xu P; Xia X; Guo M
Cancer Med; 2022 Jun; 11(12):2503-2515. PubMed ID: 35191613
[TBL] [Abstract][Full Text] [Related]
17. Development and validation of an artificial intelligence prediction model and a survival risk stratification for lung metastasis in colorectal cancer from highly imbalanced data: A multicenter retrospective study.
Zhang W; Guan X; Jiao S; Wang G; Wang X
Eur J Surg Oncol; 2023 Dec; 49(12):107107. PubMed ID: 37883884
[TBL] [Abstract][Full Text] [Related]
18. Machine Learning-Based Prediction of Subsequent Vascular Events After 6 Months in Chinese Patients with Minor Ischemic Stroke.
Zhang R; Wang J
Int J Gen Med; 2022; 15():3797-3808. PubMed ID: 35418774
[TBL] [Abstract][Full Text] [Related]
19. Machine Learning for the Prediction of Synchronous Organ-Specific Metastasis in Patients With Lung Cancer.
Gao H; He ZY; Du XL; Wang ZG; Xiang L
Front Oncol; 2022; 12():817372. PubMed ID: 35646679
[TBL] [Abstract][Full Text] [Related]
20. Parameter tuning in machine learning based on radiomics biomarkers of lung cancer.
Luo Y; Li Y; Zhang Y; Zhang J; Liang M; Jiang L; Guo L
J Xray Sci Technol; 2022; 30(3):477-490. PubMed ID: 35342074
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]