Results 211 to 220 of about 1,667,708 (262)
Multimodal deep learning with missing data robustness for enhanced early diagnosis of coronary artery disease using CCTA, clinical, and ECG data. [PDF]
Tu Y +8 more
europepmc +1 more source
Latent space reconstruction for missing data problems in CT. [PDF]
Kabelac A +5 more
europepmc +1 more source
Re: Optimizing the handling of missing data in the UNOS database. [PDF]
Baker WL +5 more
europepmc +1 more source
RETRACTION: LncRNA AATBC Regulates Pinin to Promote Metastasis in Nasopharyngeal Carcinoma
RETRACTION: T. Tang, L. Yang, Y. Cao, M. Wang, S. Zhang, Z. Gong, F. Xiong, Y. He, Y. Zhou, Q. Liao, B. Xiang, M. Zhou, C. Guo, X. Li, Y. Li, W. Xiong, G. Li, and Z. Zeng, “LncRNA AATBC Regulates Pinin to Promote Metastasis in Nasopharyngeal Carcinoma,” Molecular Oncology 14, no. 9 (2020): 2251‐2270, https://doi.org/10.1002/1878‐0261.12703.
wiley +1 more source
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Journal of Nursing Education, 2022
If left unattended, missingness can undermine the conclusions nurse researchers draw in their studies. Unfortunately, a cursory review of quantitative and mixed methods works recently published in the Journal of Nursing Education suggests missing data is left relatively unattended within our community.
Abdulaziz, Abaoud, John M, Taylor
openaire +2 more sources
If left unattended, missingness can undermine the conclusions nurse researchers draw in their studies. Unfortunately, a cursory review of quantitative and mixed methods works recently published in the Journal of Nursing Education suggests missing data is left relatively unattended within our community.
Abdulaziz, Abaoud, John M, Taylor
openaire +2 more sources

