Results 81 to 90 of about 682,007 (184)
Mining the neuroimaging literature
Automated analysis of the biomedical literature (literature mining) offers a rich source of insights. However, such analysis requires collecting a large number of articles and extracting and processing their content.
Jérome Dockès +4 more
doaj +1 more source
The study of ‘linguistic markers’ has gained prominence as a method of exploring how depressive symptoms are reflected in language use. In the context of depression, existing research has predominantly focused on perspectives of analysis related to ...
Clara Khuon +6 more
doaj +1 more source
Automated Text Analysis Based on Skip-Gram Model for Food Evaluation in Predicting Consumer Acceptance. [PDF]
Kim AY, Ha JG, Choi H, Moon H.
europepmc +1 more source
BackgroundClinicians collect session therapy notes within patient session records. Session records contain valuable information about patients’ treatment progress.
Sophie M. Huisman +3 more
doaj +1 more source
Multimodal deep learning for dementia classification using text and audio
Dementia is a progressive neurological disorder that affects the daily lives of older adults, impacting their verbal communication and cognitive function.
Kaiying Lin, Peter Y. Washington
doaj +1 more source
The potential of automated text analysis for higher education research [PDF]
Daenekindt, Stijn
core
Leveraging Narrative Feedback in Programmatic Assessment: The Potential of Automated Text Analysis to Support Coaching and Decision-Making in Programmatic Assessment. [PDF]
Nair BR +3 more
europepmc +1 more source
Automated ECG Report as a Factor in the Clinical Decision Pathway for Acute Chest Pain in the Emergency Department. [PDF]
Sankaranarayanan AK +4 more
europepmc +1 more source
Automated information extraction from plant specimen labels using OCR and large language models. [PDF]
Wen J.
europepmc +1 more source

