Detalhe da pesquisa
1.
Extracting medication changes in clinical narratives using pre-trained language models.
J Biomed Inform
; 139: 104302, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36754129
2.
Evaluating construct validity of computable acute respiratory distress syndrome definitions in adults hospitalized with COVID-19: an electronic health records based approach.
BMC Pulm Med
; 23(1): 292, 2023 Aug 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-37559024
3.
Prediction of American Society of Anesthesiologists Physical Status Classification from preoperative clinical text narratives using natural language processing.
BMC Anesthesiol
; 23(1): 296, 2023 09 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-37667258
4.
Event-Based Clinical Finding Extraction from Radiology Reports with Pre-trained Language Model.
J Digit Imaging
; 36(1): 91-104, 2023 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-36253581
5.
Extracting COVID-19 diagnoses and symptoms from clinical text: A new annotated corpus and neural event extraction framework.
J Biomed Inform
; 117: 103761, 2021 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-33781918
6.
Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction.
J Biomed Inform
; 113: 103631, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33290878
7.
Predicting severe clinical events by learning about life-saving actions and outcomes using distant supervision.
J Biomed Inform
; 107: 103425, 2020 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-32348850
8.
Clinical natural language processing for secondary uses.
J Biomed Inform
; 150: 104596, 2024 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-38278312
9.
Call for papers: Special issue on clinical natural language processing for secondary use applications.
J Biomed Inform
; 133: 104152, 2022 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-35985622
10.
Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction.
J Biomed Inform
; 64: 179-191, 2016 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-27729234
11.
Large language models for biomedicine: foundations, opportunities, challenges, and best practices.
J Am Med Inform Assoc
; 2024 Apr 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-38657567
12.
The 2022 n2c2/UW shared task on extracting social determinants of health.
J Am Med Inform Assoc
; 30(8): 1367-1378, 2023 07 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-36795066
13.
Generalizing through Forgetting - Domain Generalization for Symptom Event Extraction in Clinical Notes.
AMIA Jt Summits Transl Sci Proc
; 2023: 622-631, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37350923
14.
Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes.
AMIA Annu Symp Proc
; 2023: 923-932, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-38222433
15.
Improving Model Transferability for Clinical Note Section Classification Models Using Continued Pretraining.
medRxiv
; 2023 Apr 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-37162963
16.
Leveraging natural language processing to augment structured social determinants of health data in the electronic health record.
J Am Med Inform Assoc
; 30(8): 1389-1397, 2023 07 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-37130345
17.
Improving model transferability for clinical note section classification models using continued pretraining.
J Am Med Inform Assoc
; 31(1): 89-97, 2023 12 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-37725927
18.
Aci-bench: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation.
Sci Data
; 10(1): 586, 2023 09 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-37673893
19.
LeafAI: query generator for clinical cohort discovery rivaling a human programmer.
J Am Med Inform Assoc
; 30(12): 1954-1964, 2023 11 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-37550244
20.
Symptoms and signs of lung cancer prior to diagnosis: case-control study using electronic health records from ambulatory care within a large US-based tertiary care centre.
BMJ Open
; 13(4): e068832, 2023 04 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-37080616