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- 2023
-
Mark
Removing Biases in Communication of Severity Assessments of Intimate Partner Violence : Model Development and Evaluation
(
- Contribution to journal › Article
-
Mark
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text
2023)(
- Working paper/Preprint › Preprint in preprint archive
-
Mark
OpenChart-SE: A corpus of artificial Swedish electronic health records for imagined emergency care patients written by physicians in a crowd-sourcing project
2023)(
- Working paper/Preprint › Preprint in preprint archive
-
Mark
Novel methodology for the evaluation of symptoms reported by patients with newly diagnosed atrial fibrillation : Application of natural language processing to electronic medical records data
(
- Contribution to journal › Article
-
Mark
Language and gender : Computerized text analyses predict gender ratios from organizational descriptions
(
- Contribution to journal › Article
-
Mark
Natural Language Response Formats for Assessing Depression
2023) 12th Conference of the International Society for Affective Disorders(
- Contribution to conference › Abstract
- 2022
-
Mark
Connecting firm's web scraped textual content to body of science : Utilizing microsoft academic graph hierarchical topic modeling
(
- Contribution to journal › Article
- 2021
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Mark
Freely Generated Word Responses Analyzed With Artificial Intelligence Predict Self-Reported Symptoms of Depression, Anxiety, and Worry
(
- Contribution to journal › Article
-
Mark
Clinical notes as prognostic markers of mortality associated with diabetes mellitus following critical care : A retrospective cohort analysis using machine learning and unstructured big data
(
- Contribution to journal › Article
- 2020
-
Mark
Dynamic Spatio-Temporal Tweet Mining for Event Detection : A Case Study of Hurricane Florence
(
- Contribution to journal › Article