BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Wang Y, Liu S, Wang Z, Fan Y, Huang J, Huang L, Li Z, Li X, Jin M, Yu Q, Zhou F. A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung Cancers. Medicina (Kaunas) 2021;57:99. [PMID: 33499377 DOI: 10.3390/medicina57020099] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
Number Citing Articles
1 Sedighi-maman Z, Heath JJ. An Interpretable Two-Phase Modeling Approach for Lung Cancer Survivability Prediction. Sensors 2022;22:6783. [DOI: 10.3390/s22186783] [Reference Citation Analysis]
2 Li Z, Li X, Jin M, Liu Y, He Y, Jia N, Cui X, Liu Y, Hu G, Yu Q. Identification of potential biomarkers and their correlation with immune infiltration cells in schizophrenia using combinative bioinformatics strategy. Psychiatry Res 2022;314:114658. [PMID: 35660966 DOI: 10.1016/j.psychres.2022.114658] [Reference Citation Analysis]
3 Kumar N, Sharma M, Singh VP, Madan C, Mehandia S. An empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images. Biomedical Signal Processing and Control 2022;75:103596. [DOI: 10.1016/j.bspc.2022.103596] [Cited by in Crossref: 2] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
4 Marwah N, Aggarwal P, Kaur R. Lung Cancer Survivability prediction with Recursive Feature Elimination using Random Forest and Ensemble Classifiers. 2022 2nd International Conference on Computing and Machine Intelligence (ICMI) 2022. [DOI: 10.1109/icmi55296.2022.9873658] [Reference Citation Analysis]
5 Golder S, O’connor K, Wang Y, Stevens R, Gonzalez-hernandez G. Best Practices on Big Data Analytics to Address Sex-Specific Biases in our Understanding of the Etiology, Diagnosis and Prognosis of Diseases.. [DOI: 10.1101/2022.01.31.22270183] [Reference Citation Analysis]
6 Morgado J, Pereira T, Silva F, Freitas C, Negrão E, de Lima BF, da Silva MC, Madureira AJ, Ramos I, Hespanhol V, Costa JL, Cunha A, Oliveira HP. Machine Learning and Feature Selection Methods for EGFR Mutation Status Prediction in Lung Cancer. Applied Sciences 2021;11:3273. [DOI: 10.3390/app11073273] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 10.0] [Reference Citation Analysis]