开放期刊系统

口腔医学数据特征建设

韩 文雯, 陈 红利

摘要

随着现代医学的迅猛发展,口腔医学领域的数据特征建设逐渐成为提高诊疗质量和科研效率的重要环节。本文将从口腔医学数据特征的重要性、特征建设的内容与方法进行阐述。

关键词

数据特征;口腔医学;精准医疗

全文:

PDF

参考

[1]Tatsugami,F. et al. Recent advances in artificial intelligence for cardiac CT:Enhancing diagnosis and prognosis prediction.

Diagnostic and Interventional Imaging 104,521-528,doi:10.1016/j.diii.2023.06.011(2023).

[2]Hossain,E. et al. Natural Language Processing in Electronic Health Records in relation to healthcare decision-making:A systematic

review. Comput Biol Med 155,106649,doi:10.1016/j.compbiomed.2023.106649(2023).

[3]Chen,L. et al. Extracting medications and associated adverse drug events using a natural language processing system combining

knowledge base and deep learning. J Am Med Inform Assoc 27,56-64,doi:10.1093/jamia/ocz141(2020).

[4]Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations,1990-2021:a systematic

analysis for the Global Burden of Disease Study 2021. Lancet 403,2162-2203,doi:10.1016/S0140-6736(24)00933-4(2024).

[5]Suskiewicz,M. J. et al. Updated protein domain annotation of the PARP protein family sheds new light on biological function. Nucleic

Acids Research 51,8217-8236,doi:10.1093/nar/gkad514(2023).

[6]Schwendicke,F. & Krois,J. Data Dentistry:How Data Are Changing Clinical Care and Research. Journal of Dental Research 101,

21-29,doi:10.1177/00220345211020265(2022).

[7]Liu,M. et al. Design and development of a disease-specific clinical database system to increase the availability of hospital data in

China. Health Inf Sci Syst 11,11,doi:10.1007/s13755-023-00211-4(2023).

[8]Frey,L. J. Artificial Intelligence and Integrated Genotype⁻Phenotype Identification. Genes(Basel)10,doi:10.3390/genes10010018

(2018).

[9]Schwendicke,F. et al. Artificial Intelligence for Caries Detection:Value of Data and Information. Journal of Dental Research 101,

1350-1356,doi:10.1177/00220345221113756(2022).

[10]Kühnisch,J. et al. ORCA-EFCD consensus report on clinical recommendation for caries diagnosis. Paper I:caries lesion detection

and depth assessment. Clin Oral Investig 28,227,doi:10.1007/s00784-024-05597-3(2024).[11]Schwendicke,F.,Samek,W. & Krois,J. Artificial Intelligence in Dentistry:Chances and Challenges. Journal of Dental Research

99,769-774,doi:10.1177/0022034520915714(2020).

[12]Queralt-Rosinach,N. et al. Structured reviews for data and knowledge-driven research. Database(Oxford)2020,doi:

10.1093/database/baaa015(2020).

[13]Elhussein,A.,Baymuradov,U.,Elhadad,N.,Natarajan,K. & Gürsoy,G. A framework for sharing of clinical and genetic data

for precision medicine applications. Nat Med 30,3578-3589,doi:10.1038/s41591-024-03239-5(2024).

[14]Frey , L. J. Data integration strategies for predictive analytics in precision medicine. Per Med 15 , 543-551 , doi :

10.2217/pme-2018-0035(2018).

[15]Sommer,K. K. et al. Structured,Harmonized,and Interoperable Integration of Clinical Routine Data to Compute Heart Failure Risk

Scores. Life(Basel)12,doi:10.3390/life12050749(2022).

[16]Schwaninger,D. R. et al. FDG-PET/CT for oral focus assessment in head and neck cancer patients. Clin Oral Investig 26,

4407-4418,doi:10.1007/s00784-022-04403-2(2022).

[17]Meerwein,C. M. et al. Contrast-enhanced 18F-FDG-PET/CT for Differentiating Tumour and Radionecrosis in Head and Neck

Cancer:Our experience in 37 Patients. Clin Otolaryngol 43,1594-1599,doi:10.1111/coa.13185(2018).

基金项目:四川大学华西口腔医院基础与应用基础研究项目(RD-02-202105)

通讯作者简介:陈红利(1991-),女,硕士,实验师,从事生物样本库及实验设备管理工作。


(4 摘要 Views, 31 PDF Downloads)

Refbacks

  • 当前没有refback。