Back
Top 57%
10.8%
Top 1%
8.9%
Top 28%
7.7%
Top 0.5%
7.7%
Top 4%
5.9%
Top 2%
5.9%
Top 4%
5.5%
Top 0.8%
4.1%
Top 4%
3.8%
Top 4%
3.8%
Top 4%
3.8%
Top 5%
1.9%
Top 6%
1.9%
Top 4%
1.5%
Top 3%
1.5%
Top 5%
1.5%
Top 3%
1.3%
Top 21%
1.3%
Top 1.0%
1.2%
Top 63%
0.9%
Top 6%
0.7%
Top 2%
0.7%
Cannabis Use Documentation within the Electronic Health Record: A Use Case for Natural Language Processing Methods
2026-03-02
addiction medicine
Title + abstract only
View on medRxiv
Show abstract
IntroductionRecreational and medical cannabis use (CU) information is often available within the electronic health record (EHR) in a format that is impractical for health care provider use. Transformation of free-text EHR documentation in notes to discrete elements is possible using natural language processing (NLP) and has the potential to characterize CU efficiently. The objective of this study was to develop an NLP algorithm to identify documentation of CU within EHR unstructured clinical not...
Predicted journal destinations
1
PLOS ONE
1737 training papers
2
PLOS Digital Health
88 training papers
3
Scientific Reports
701 training papers
4
Drug and Alcohol Dependence
21 training papers
5
npj Digital Medicine
85 training papers
6
JAMA Network Open
125 training papers
7
Journal of Medical Internet Research
81 training papers
8
Addiction
24 training papers
9
Frontiers in Psychiatry
56 training papers
10
JAMIA Open
35 training papers
11
BMC Medical Informatics and Decision Making
36 training papers
12
Journal of the American Medical Informatics Association
53 training papers
13
Translational Psychiatry
94 training papers
14
International Journal of Medical Informatics
25 training papers
15
Neuropsychopharmacology
29 training papers
16
Journal of Biomedical Informatics
37 training papers
17
Brain Stimulation
27 training papers
18
International Journal of Environmental Research and Public Health
116 training papers
19
Sexually Transmitted Infections
20 training papers
20
BMJ Open
553 training papers
21
BMC Health Services Research
43 training papers
22
Journal of General Internal Medicine
19 training papers