Extracting Critical Information from Unstructured Clinicians' Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study.
第一作者:
Ravi,Prakash
第一单位:
Thomas Lord Department of Mechanical Engineering and Materials Science, Pratt School of Engineering, Duke University, Durham, NC, United States.
作者:
关键词
ADADRDAIAlzheimer's diseaseAlzheimer's disease and related dementiasEHREMRLLMNLPPHRartificial intelligencedeep learningdementiaelectric medical recordelectronic health recordgeriatric syndromeshealth recordlarge language modelnatural language processingpatient recordpersonal health recordrule based analysisunstructured data
主题词
人类(Humans);可行性研究(Feasibility Studies);电子健康病历(Electronic Health Records);痴呆(Dementia);疾病严重程度指数(Severity of Illness Index);男(雄)性(Male);女(雌)性(Female);老年人(Aged);阿尔茨海默病(Alzheimer Disease);老年人, 80以上(Aged, 80 and over)
DOI
10.2196/57926
PMID
39316421
发布时间
2024-10-11
- 浏览0
JMIR aging
2024年7卷
e57926页
相似文献
- 中文期刊
- 外文期刊
- 学位论文
- 会议论文