242 related articles for article (PubMed ID: 37078130)
21. A machine learning-based model for clinical prediction of distal metastasis in chondrosarcoma: a multicenter, retrospective study.
Wei J; Lu S; Liu W; Liu H; Feng L; Tao Y; Pu Z; Liu Q; Hu Z; Wang H; Li W; Kang W; Yin C; Feng Z
PeerJ; 2023; 11():e16485. PubMed ID: 38130920
[TBL] [Abstract][Full Text] [Related]
22. Application of interpretable machine learning algorithms to predict distant metastasis in osteosarcoma.
Bai BL; Wu ZY; Weng SJ; Yang Q
Cancer Med; 2023 Feb; 12(4):5025-5034. PubMed ID: 36082478
[TBL] [Abstract][Full Text] [Related]
23. Using Machine Learning Methods to Predict Bone Metastases in Breast Infiltrating Ductal Carcinoma Patients.
Liu WC; Li MX; Wu SN; Tong WL; Li AA; Sun BL; Liu ZL; Liu JM
Front Public Health; 2022; 10():922510. PubMed ID: 35875050
[TBL] [Abstract][Full Text] [Related]
24. A Machine Learning-Based Predictive Model for Predicting Lymph Node Metastasis in Patients With Ewing's Sarcoma.
Li W; Zhou Q; Liu W; Xu C; Tang ZR; Dong S; Wang H; Li W; Zhang K; Li R; Zhang W; Hu Z; Shibin S; Liu Q; Kuang S; Yin C
Front Med (Lausanne); 2022; 9():832108. PubMed ID: 35463005
[TBL] [Abstract][Full Text] [Related]
25. Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning.
Zhong X; Lin Y; Zhang W; Bi Q
Sci Rep; 2023 Oct; 13(1):18301. PubMed ID: 37880320
[TBL] [Abstract][Full Text] [Related]
26. Integrative radiogenomics analysis for predicting molecular features and survival in clear cell renal cell carcinoma.
Zeng H; Chen L; Wang M; Luo Y; Huang Y; Ma X
Aging (Albany NY); 2021 Mar; 13(7):9960-9975. PubMed ID: 33795526
[TBL] [Abstract][Full Text] [Related]
27. A machine learning-based model for predicting the risk of early-stage inguinal lymph node metastases in patients with squamous cell carcinoma of the penis.
Ding L; Zhang C; Wang K; Zhang Y; Wu C; Xia W; Li S; Li W; Wang J
Front Surg; 2023; 10():1095545. PubMed ID: 37009612
[TBL] [Abstract][Full Text] [Related]
28. Artificial intelligence based system for predicting permanent stoma after sphincter saving operations.
Kuo CY; Kuo LJ; Lin YK
Sci Rep; 2023 Sep; 13(1):16039. PubMed ID: 37749194
[TBL] [Abstract][Full Text] [Related]
29. Machine Learning-Based Prediction of Lymph Node Metastasis Among Osteosarcoma Patients.
Li W; Liu Y; Liu W; Tang ZR; Dong S; Li W; Zhang K; Xu C; Hu Z; Wang H; Lei Z; Liu Q; Guo C; Yin C
Front Oncol; 2022; 12():797103. PubMed ID: 35515104
[TBL] [Abstract][Full Text] [Related]
30. Nomogram for predicting cancer-specific survival of patients with clear-cell renal cell carcinoma: a SEER-based population study.
Wang J; Wen Q; Wang X; Liu C; Zhao K; Li Y; Yang J; Liang X
Gen Physiol Biophys; 2022 Nov; 41(6):591-601. PubMed ID: 36454119
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Development and validation of a prognostic nomogram for predicting cancer-specific survival in patients with metastatic clear cell renal carcinoma: A study based on SEER database.
Huang G; Liao J; Cai S; Chen Z; Qin X; Ba L; Rao J; Zhong W; Lin Y; Liang Y; Wei L; Li J; Deng K; Li X; Guo Z; Wang L; Zhuo Y
Front Oncol; 2022; 12():949058. PubMed ID: 36237316
[TBL] [Abstract][Full Text] [Related]
33. Machine learning to improve prognosis prediction of metastatic clear-cell renal cell carcinoma treated with cytoreductive nephrectomy and systemic therapy.
Yang W; Ma L; Dong J; Wei M; Ji R; Chen H; Xue X; Li Y; Jin Z; Xu W; Ji Z
Biomol Biomed; 2023 May; 23(3):471-482. PubMed ID: 36326180
[TBL] [Abstract][Full Text] [Related]
34. Development of machine learning models to predict lymph node metastases in major salivary gland cancers.
Costantino A; Canali L; Festa BM; Kim SH; Spriano G; De Virgilio A
Eur J Surg Oncol; 2023 Sep; 49(9):106965. PubMed ID: 37393130
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Application of several machine learning algorithms for the prediction of afatinib treatment outcome in advanced-stage EGFR-mutated non-small-cell lung cancer.
Kim T; Lee SJ; Jang TW
Thorac Cancer; 2022 Dec; 13(23):3353-3361. PubMed ID: 36278315
[TBL] [Abstract][Full Text] [Related]
37. Identification of a Risk Stratification Model to Predict Overall Survival and Surgical Benefit in Clear Cell Renal Cell Carcinoma With Distant Metastasis.
Chen J; Cao N; Li S; Wang Y
Front Oncol; 2021; 11():630842. PubMed ID: 33777784
[No Abstract] [Full Text] [Related]
38. 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]
39. Predicting metastasis in gastric cancer patients: machine learning-based approaches.
Talebi A; Celis-Morales CA; Borumandnia N; Abbasi S; Pourhoseingholi MA; Akbari A; Yousefi J
Sci Rep; 2023 Mar; 13(1):4163. PubMed ID: 36914697
[TBL] [Abstract][Full Text] [Related]
40. Development of a web-based calculator to predict three-month mortality among patients with bone metastases from cancer of unknown primary: An internally and externally validated study using machine-learning techniques.
Cui Y; Wang Q; Shi X; Ye Q; Lei M; Wang B
Front Oncol; 2022; 12():1095059. PubMed ID: 36568149
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
