换一批
换一批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
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