[HTML][HTML] Automated Extraction of Stroke Severity from Unstructured Electronic Health Records using Natural Language Processing
M Fernandes, MB Westover, AB Singhal, SF Zafar - medRxiv, 2024 - ncbi.nlm.nih.gov
BACKGROUND: Multi-center electronic health records (EHR) can support quality
improvement initiatives and comparative effectiveness research in stroke care. However …
improvement initiatives and comparative effectiveness research in stroke care. However …
Automated Extraction of Stroke Severity from Unstructured Electronic Health Records using Natural Language Processing
M Bento Fernandes, B Westover, AB Singhal, SF Zafar - medRxiv, 2024 - medrxiv.org
BACKGROUND: Multi-center electronic health records (EHR) can support quality
improvement initiatives and comparative effectiveness research in stroke care. However …
improvement initiatives and comparative effectiveness research in stroke care. However …
Assessing stroke severity using electronic health record data: a machine learning approach
E Kogan, K Twyman, J Heap, D Milentijevic… - BMC medical informatics …, 2020 - Springer
Background Stroke severity is an important predictor of patient outcomes and is commonly
measured with the National Institutes of Health Stroke Scale (NIHSS) scores. Because these …
measured with the National Institutes of Health Stroke Scale (NIHSS) scores. Because these …
P287 Use of machine learning to determine stroke severity of patients diagnosed with stroke in claims data
E Kogan, K Twyman, J Heap, D Milentijevic… - European Heart …, 2018 - academic.oup.com
Background: The National Institutes of Health Stroke Scale (NIHSS) scores are often
recorded as free text in the neurologist's diagnosis reports, and not readily available in …
recorded as free text in the neurologist's diagnosis reports, and not readily available in …
Use of machine learning to determine stroke severity of patients diagnosed with stroke in integrated claims-medical records dataset
E Kogan, K Twyman, J Heap, D Milentijevic, JH Lin… - Circulation, 2017 - Am Heart Assoc
Introduction: The National Institutes of Health Stroke Scale (NIHSS) scores are often
recorded in a form of free text in the neurologist's diagnosis reports and this information is …
recorded in a form of free text in the neurologist's diagnosis reports and this information is …
[HTML][HTML] Automatic quantitative stroke severity assessment based on Chinese clinical named entity recognition with domain-adaptive pre-trained large language …
Background: Stroke is a prevalent disease with a significant global impact. Effective
assessment of stroke severity is vital for an accurate diagnosis, appropriate treatment, and …
assessment of stroke severity is vital for an accurate diagnosis, appropriate treatment, and …
[HTML][HTML] Identifying stroke-related quantified evidence from electronic health records in real-world studies
L Yang, X Huang, J Wang, X Yang, L Ding, Z Li… - Artificial Intelligence in …, 2023 - Elsevier
Background Stroke is one of the leading causes of death and disability worldwide. The
National Institutes of Health Stroke Scale (NIHSS) scores in electronic health records …
National Institutes of Health Stroke Scale (NIHSS) scores in electronic health records …
Abstract TP307: Validation of a Machine Learning Approach to Determine Stroke Severity of Patients Diagnosed With Stroke in Claims Data
E Kogan, E Sjoeland, D Milentijevic, JH Lin, M Alberts - Stroke, 2020 - Am Heart Assoc
Introduction: The National Institutes of Health Stroke Scale (NIHSS) scores are often not
readily available in structured claims databases. We have previously demonstrated that a …
readily available in structured claims databases. We have previously demonstrated that a …
[HTML][HTML] Extraction of Radiological Characteristics From Free-Text Imaging Reports Using Natural Language Processing Among Patients With Ischemic and …
Background Neuroimaging is the gold-standard diagnostic modality for all patients
suspected of stroke. However, the unstructured nature of imaging reports remains a major …
suspected of stroke. However, the unstructured nature of imaging reports remains a major …
StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records
Determining acute ischemic stroke (AIS) etiology is fundamental to secondary stroke
prevention efforts but can be diagnostically challenging. We trained and validated an …
prevention efforts but can be diagnostically challenging. We trained and validated an …