Detalhe da pesquisa
1.
Artificial intelligence: revolutionizing cardiology with large language models.
Eur Heart J
; 45(5): 332-345, 2024 Feb 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-38170821
2.
Detecting goals of care conversations in clinical notes with active learning.
J Biomed Inform
; 151: 104618, 2024 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-38431151
3.
Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review.
J Med Internet Res
; 26: e47923, 2024 Mar 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-38488839
4.
GeoBoost2: a natural languageprocessing pipeline for GenBank metadata enrichment for virus phylogeography.
Bioinformatics
; 36(20): 5120-5121, 2020 12 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-32683454
5.
Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set.
J Med Internet Res
; 23(1): e25314, 2021 01 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-33449904
6.
A natural language processing pipeline to advance the use of Twitter data for digital epidemiology of adverse pregnancy outcomes.
J Biomed Inform
; 112S: 100076, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-34417007
7.
Deep neural networks and distant supervision for geographic location mention extraction.
Bioinformatics
; 34(13): i565-i573, 2018 07 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29950020
8.
GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records.
Bioinformatics
; 34(9): 1606-1608, 2018 05 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29240889
9.
Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter.
J Biomed Inform
; 87: 68-78, 2018 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-30292855
10.
Knowledge-driven geospatial location resolution for phylogeographic models of virus migration.
Bioinformatics
; 31(12): i348-56, 2015 Jun 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-26072502
11.
Patient-Related Metadata Reported in Sequencing Studies of SARS-CoV-2: Protocol for a Scoping Review and Bibliometric Analysis.
medRxiv
; 2024 Mar 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-37503241
12.
Patient-Reported Reasons for Antihypertensive Medication Change: A Quantitative Study Using Social Media.
Drug Saf
; 47(1): 81-91, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-37995049
13.
PhenoID, a language model normalizer of physical examinations from genetics clinical notes.
medRxiv
; 2024 Jan 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-37904943
14.
Text mining biomedical literature to identify extremely unbalanced data for digital epidemiology and systematic reviews: dataset and methods for a SARS-CoV-2 genomic epidemiology study.
medRxiv
; 2023 Aug 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-37577535
15.
Monitoring the Epidemiology of Otitis Using Free-Text Pediatric Medical Notes: A Deep Learning Approach.
J Pers Med
; 14(1)2023 Dec 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-38248729
16.
Automatic Extraction of Medication Mentions from Tweets-Overview of the BioCreative VII Shared Task 3 Competition.
Database (Oxford)
; 20232023 02 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36734300
17.
SEED: Symptom Extraction from English Social Media Posts using Deep Learning and Transfer Learning.
medRxiv
; 2022 Mar 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-33594374
18.
Patient-Reported Reasons for Switching or Discontinuing Statin Therapy: A Mixed Methods Study Using Social Media.
Drug Saf
; 45(9): 971-981, 2022 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-35933649
19.
A chronological and geographical analysis of personal reports of COVID-19 on Twitter from the UK.
Digit Health
; 8: 20552076221097508, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35574580
20.
Automatic Cohort Determination from Twitter for HIV Prevention amongst Black and Hispanic Men.
AMIA Jt Summits Transl Sci Proc
; 2022: 504-513, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35854738