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Cited by in F6Publishing
For: Alabi RO, Mäkitie AA, Pirinen M, Elmusrati M, Leivo I, Almangush A. Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer. Int J Med Inform 2021;145:104313. [PMID: 33142259 DOI: 10.1016/j.ijmedinf.2020.104313] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Kaur I, Doja MN, Ahmad T, Ahmad M, Hussain A, Nadeem A, Abd El-Latif AA. An Integrated  Approach for Cancer Survival Prediction Using Data Mining Techniques. Comput Intell Neurosci 2021;2021:6342226. [PMID: 34992648 DOI: 10.1155/2021/6342226] [Reference Citation Analysis]
2 Adeoye J, Hui L, Koohi-Moghadam M, Tan JY, Choi SW, Thomson P. Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis. Int J Med Inform 2022;157:104635. [PMID: 34800847 DOI: 10.1016/j.ijmedinf.2021.104635] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
3 Alabi RO, Bello IO, Youssef O, Elmusrati M, Mäkitie AA, Almangush A. Utilizing Deep Machine Learning for Prognostication of Oral Squamous Cell Carcinoma-A Systematic Review. Front Oral Health 2021;2:686863. [PMID: 35048032 DOI: 10.3389/froh.2021.686863] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Kaur I, Doja M, Ahmad T. Data Mining and Machine Learning in Cancer Survival Research: An Overview and Future Recommendations. Journal of Biomedical Informatics 2022. [DOI: 10.1016/j.jbi.2022.104026] [Reference Citation Analysis]
5 Adeoye J, Tan JY, Choi SW, Thomson P. Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review. Int J Med Inform 2021;154:104557. [PMID: 34455119 DOI: 10.1016/j.ijmedinf.2021.104557] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
6 Liu Y, Zhang Y, Zhang X, Liu X, Zhou Y, Jin Y, Yu C. Nomogram and Machine Learning Models Predict 1-Year Mortality Risk in Patients With Sepsis-Induced Cardiorenal Syndrome. Front Med 2022;9:792238. [DOI: 10.3389/fmed.2022.792238] [Reference Citation Analysis]
7 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: 1] [Article Influence: 1.0] [Reference Citation Analysis]