Detalhe da pesquisa
1.
IDPpub: Illuminating the Dark Phosphoproteome Through PubMed Mining.
Mol Cell Proteomics
; 23(1): 100682, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-37993103
2.
Machine learning-based donor permission extraction from informed consent documents.
BMC Bioinformatics
; 24(Suppl 3): 477, 2023 Dec 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-38102593
3.
Using Natural Language Processing to Automatically Identify Dysplasia in Pathology Reports for Patients With Barrett's Esophagus.
Clin Gastroenterol Hepatol
; 21(5): 1198-1204, 2023 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-36115659
4.
A dual-interpolator method for improving parallel MRI reconstruction.
Magn Reson Imaging
; 92: 108-119, 2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-35772581
5.
Virtual Conjugate Coil for Improving KerNL Reconstruction.
Annu Int Conf IEEE Eng Med Biol Soc
; 2022: 599-602, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-36085691
6.
Interpretable Dimension Reduction for MRI Channel Suppression.
Annu Int Conf IEEE Eng Med Biol Soc
; 2022: 1456-1459, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-36085960
7.
Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.
J Am Med Inform Assoc
; 28(7): 1393-1400, 2021 07 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-33647938
8.
COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model.
J Am Med Inform Assoc
; 28(6): 1275-1283, 2021 06 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-33674830
9.
Nonselective beta-blockers are associated with a lower risk of hepatocellular carcinoma among cirrhotic patients in the United States.
Aliment Pharmacol Ther
; 54(4): 481-492, 2021 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-34224163
10.
COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model.
ArXiv
; 2020 Jul 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-32908948