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For: Brnabic A, Hess LM. Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making. BMC Med Inform Decis Mak 2021;21:54. [PMID: 33588830 DOI: 10.1186/s12911-021-01403-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Alsoof D, McDonald CL, Kuris EO, Daniels AH. Machine Learning for the Orthopaedic Surgeon: Uses and Limitations. J Bone Joint Surg Am 2022. [PMID: 35383655 DOI: 10.2106/JBJS.21.01305] [Reference Citation Analysis]
2 Sabeti M, Boostani R, Moradi E, Shakoor MH. Machine learning-based identification of craniosynostosis in newborns. Machine Learning with Applications 2022;8:100292. [DOI: 10.1016/j.mlwa.2022.100292] [Reference Citation Analysis]
3 Carrieri V, Lagravinese R, Resce G. Predicting vaccine hesitancy from area-level indicators: A machine learning approach. Health Econ 2021;30:3248-56. [PMID: 34523180 DOI: 10.1002/hec.4430] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Rajendran P, Sharma A, Pramanik M. Photoacoustic imaging aided with deep learning: a review. Biomed Eng Lett . [DOI: 10.1007/s13534-021-00210-y] [Reference Citation Analysis]
5 Rabbani N, Kim GY, Suarez CJ, Chen JH. Applications of Machine Learning in Routine Laboratory Medicine: Current State and Future Directions. Clinical Biochemistry 2022. [DOI: 10.1016/j.clinbiochem.2022.02.011] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Bahar E, Yoon H. Modeling and Predicting the Cell Migration Properties from Scratch Wound Healing Assay on Cisplatin-Resistant Ovarian Cancer Cell Lines Using Artificial Neural Network. Healthcare (Basel) 2021;9:911. [PMID: 34356289 DOI: 10.3390/healthcare9070911] [Reference Citation Analysis]