170 related articles for article (PubMed ID: 36276292)
21. A Machine Learning Algorithm for Predicting the Risk of Developing to M1b Stage of Patients With Germ Cell Testicular Cancer.
Ding L; Wang K; Zhang C; Zhang Y; Wang K; Li W; Wang J
Front Public Health; 2022; 10():916513. PubMed ID: 35844840
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Development of a Machine Learning-Based Predictive Model for Lung Metastasis in Patients With Ewing Sarcoma.
Li W; Hong T; Liu W; Dong S; Wang H; Tang ZR; Li W; Wang B; Hu Z; Liu Q; Qin Y; Yin C
Front Med (Lausanne); 2022; 9():807382. PubMed ID: 35433754
[TBL] [Abstract][Full Text] [Related]
24. The predictors of death within 1 year in acute ischemic stroke patients based on machine learning.
Wang K; Gu L; Liu W; Xu C; Yin C; Liu H; Rong L; Li W; Wei X
Front Neurol; 2023; 14():1092534. PubMed ID: 36908612
[TBL] [Abstract][Full Text] [Related]
25. Development and External Validation of Machine Learning-Based Models for Predicting Lung Metastasis in Kidney Cancer: A Large Population-Based Study.
Yi X; Zhang Y; Cai J; Hu Y; Wen K; Xie P; Yin N; Zhou X; Luo H
Int J Clin Pract; 2023; 2023():8001899. PubMed ID: 37383704
[TBL] [Abstract][Full Text] [Related]
26. Risk Assessment of Bone Metastasis for Cervical Cancer Patients by Multiple Models: A Large Population Based Real-World Study.
Han Y; Wang B; Zhang J; Zhou S; Dai J; Wu M; Li Y; Wang S
Front Med (Lausanne); 2021; 8():725298. PubMed ID: 34676225
[No Abstract] [Full Text] [Related]
27. Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma.
Zhu J; Zheng J; Li L; Huang R; Ren H; Wang D; Dai Z; Su X
Front Med (Lausanne); 2021; 8():635771. PubMed ID: 33768105
[No Abstract] [Full Text] [Related]
28. Application of machine learning model to predict osteoporosis based on abdominal computed tomography images of the psoas muscle: a retrospective study.
Huang CB; Hu JS; Tan K; Zhang W; Xu TH; Yang L
BMC Geriatr; 2022 Oct; 22(1):796. PubMed ID: 36229793
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. 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]
31. Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data.
Jiang X; Xu C
J Clin Med; 2022 Sep; 11(19):. PubMed ID: 36233640
[TBL] [Abstract][Full Text] [Related]
32. Prediction Model of Ocular Metastases in Gastric Adenocarcinoma: Machine Learning-Based Development and Interpretation Study.
Zou J; Shen YK; Wu SN; Wei H; Li QJ; Xu SH; Ling Q; Kang M; Liu ZL; Huang H; Chen X; Wang YX; Liao XL; Tan G; Shao Y
Technol Cancer Res Treat; 2024; 23():15330338231219352. PubMed ID: 38233736
[No Abstract] [Full Text] [Related]
33. 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]
34. A Web-Based Calculator to Predict Early Death Among Patients With Bone Metastasis Using Machine Learning Techniques: Development and Validation Study.
Lei M; Wu B; Zhang Z; Qin Y; Cao X; Cao Y; Liu B; Su X; Liu Y
J Med Internet Res; 2023 Oct; 25():e47590. PubMed ID: 37870889
[TBL] [Abstract][Full Text] [Related]
35. A Machine Learning Approach Using XGBoost Predicts Lung Metastasis in Patients with Ovarian Cancer.
Yuan Y; Wang R; Luo M; Zhang Y; Guo F; Bai G; Yang Y; JingZhao
Biomed Res Int; 2022; 2022():8501819. PubMed ID: 36277898
[TBL] [Abstract][Full Text] [Related]
36. Integration of ultrasound radiomics features and clinical factors: A nomogram model for identifying the Ki-67 status in patients with breast carcinoma.
Wu J; Fang Q; Yao J; Ge L; Hu L; Wang Z; Jin G
Front Oncol; 2022; 12():979358. PubMed ID: 36276108
[TBL] [Abstract][Full Text] [Related]
37. Development and validation of a machine learning model for bone metastasis in prostate cancer: Based on inflammatory and nutritional indicators.
Jin T; An J; Wu W; Zhou F
Urology; 2024 May; ():. PubMed ID: 38825085
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Development and Validation of a Predictive Model to Evaluate the Risk of Bone Metastasis in Kidney Cancer.
Dong S; Yang H; Tang ZR; Ke Y; Wang H; Li W; Tian K
Front Oncol; 2021; 11():731905. PubMed ID: 34900681
[TBL] [Abstract][Full Text] [Related]
40. Development and validation of an early diagnosis model for bone metastasis in non-small cell lung cancer based on serological characteristics of the bone metastasis mechanism.
Teng X; Han K; Jin W; Ma L; Wei L; Min D; Chen L; Du Y
EClinicalMedicine; 2024 Jun; 72():102617. PubMed ID: 38707910
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]