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Publication search results
found 17 matches
- 2024
- Awais Ahmed, Xiaoyang Zeng, Rui Xi, Mengshu Hou, Syed Attique Shah:
MED-Prompt: A novel prompt engineering framework for medicine prediction on free-text clinical notes. J. King Saud Univ. Comput. Inf. Sci. 36(2): 101933 (2024) - 2023
- Jahyun Nam, Jee-Woo Choi, Yong-Goo Shin, Seung Park:
A BERT-Based Artificial Intelligence to Analyze Free-Text Clinical Notes for Binary Classification in Papillary Thyroid Carcinoma Recurrence. ICCE 2023: 1-2 - Callandra Moore, Jonathan Ranisau, Walter Nelson, Jeremy Petch, Alistair Johnson:
Pyclipse, a library for deidentification of free-text clinical notes. CoRR abs/2311.02748 (2023) - 2022
- Eunsuk Chang:
Cohort identification from Free-Text Clinical Notes using SNOMED CT's Semantic Relations. University of North Carolina, Chapel Hill, USA, 2022 - Eun Suk Chang, Javed Mostafa:
Cohort Identification from Free-Text Clinical Notes Using SNOMED CT's Hierarchical Semantic Relations. AMIA 2022 - Yuanda Zhu, Aishwarya Mahale, Kourtney Peters, Lejy Mathew, Felipe O. Giuste, Blake J. Anderson, May D. Wang:
Using natural language processing on free-text clinical notes to identify patients with long-term COVID effects. BCB 2022: 46:1-46:9 - Ian Pépin, Farhana H. Zulkernine:
A Comparative Study of De-identification Tools to Apply to Free-Text Clinical Notes. CASCON 2022: 181-186 - 2020
- Mohammad Hashir, Rapinder Sawhney:
Towards unstructured mortality prediction with free-text clinical notes. J. Biomed. Informatics 108: 103489 (2020) - Beau Norgeot, Kathleen Muenzen, Thomas A. Peterson, Xuancheng Fan, Benjamin S. Glicksberg, Gundolf Schenk, Eugenia Rutenberg, Boris Oskotsky, Marina Sirota, Jinoos Yazdany, Gabriela Schmajuk, Dana Ludwig, Theodore C. Goldstein, Atul J. Butte:
Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes. npj Digit. Medicine 3 (2020) - 2019
- Engy Yehia, Hussein Boshnak, Sayed AbdelGaber, Amany Abdo, Doaa S. Elzanfaly:
Ontology-based clinical information extraction from physician's free-text notes. J. Biomed. Informatics 98 (2019) - Aaron Kub, Amanda Yoho:
Descriptive Comparison of Patient Cohorts with Cognitive Function Testing Results from Structured vs Free-Text Clinical Notes. AMIA 2019 - Aryan Arbabi, David R. Adams, Sanja Fidler, Michael Brudno:
Identifying Clinical Terms in Free-Text Notes Using Ontology-Guided Machine Learning. RECOMB 2019: 19-34 - Mohammad Hashir, Rapinder Sawhney:
Towards unstructured mortality prediction with free-text clinical notes. CoRR abs/1911.08437 (2019) - 2018
- Guadalupe Escuti Caballero:
Documentation of clinical notes in the EHR: free text versus structured style. AMIA 2018 - 2017
- Wen-wai Yim, Sharon W. Kwan, Meliha Yetisgen:
Automatic Liver Cancer Stage Prediction From Free-Text Clinical Notes. CRI 2017 - 2016
- Hans Moen, Laura-Maria Peltonen, Juho Heimonen, Antti Airola, Tapio Pahikkala, Tapio Salakoski, Sanna Salanterä:
Comparison of automatic summarisation methods for clinical free text notes. Artif. Intell. Medicine 67: 25-37 (2016) - 2010
- Qiang Zeng, Xiaoyan Zhang, Zuofeng Li, Lei Liu, Weide Zhang:
Extracting clinical information from free-text of pathology and operation notes via Chinese natural language processing. BIBM Workshops 2010: 593-597
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