Detalhe da pesquisa
1.
BarlowTwins-CXR: enhancing chest X-ray abnormality localization in heterogeneous data with cross-domain self-supervised learning.
BMC Med Inform Decis Mak
; 24(1): 126, 2024 May 16.
Artigo
Inglês
| MEDLINE | ID: mdl-38755563
2.
Spatio-temporal heterogeneity in the international trade resilience during COVID-19.
Appl Geogr
; 154: 102923, 2023 May.
Artigo
Inglês
| MEDLINE | ID: mdl-36915293
3.
Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence.
J Biomed Inform
; 134: 104151, 2022 10.
Artigo
Inglês
| MEDLINE | ID: mdl-35872264
4.
Patients dispensed medications with actionable pharmacogenomic biomarkers: rates and characteristics.
Genet Med
; 23(4): 782-786, 2021 04.
Artigo
Inglês
| MEDLINE | ID: mdl-33420348
5.
FeARH: Federated machine learning with anonymous random hybridization on electronic medical records.
J Biomed Inform
; 117: 103735, 2021 05.
Artigo
Inglês
| MEDLINE | ID: mdl-33711540
6.
Integrative construction of regulatory region networks in 127 human reference epigenomes by matrix factorization.
Nucleic Acids Res
; 47(14): 7235-7246, 2019 08 22.
Artigo
Inglês
| MEDLINE | ID: mdl-31265076
7.
Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models.
J Med Internet Res
; 22(8): e20285, 2020 08 17.
Artigo
Inglês
| MEDLINE | ID: mdl-32730217
8.
Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models.
J Med Internet Res
; 22(9): e23996, 2020 Sep 22.
Artigo
Inglês
| MEDLINE | ID: mdl-32960774
9.
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records.
J Biomed Inform
; 99: 103291, 2019 11.
Artigo
Inglês
| MEDLINE | ID: mdl-31560949
10.
Universal attenuators and their interactions with feedback loops in gene regulatory networks.
Nucleic Acids Res
; 45(12): 7078-7093, 2017 Jul 07.
Artigo
Inglês
| MEDLINE | ID: mdl-28575450
11.
Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes.
JCO Clin Cancer Inform
; 7: e2200196, 2023 05.
Artigo
Inglês
| MEDLINE | ID: mdl-37235847
12.
Machine learning approaches to predicting no-shows in pediatric medical appointment.
NPJ Digit Med
; 5(1): 50, 2022 Apr 20.
Artigo
Inglês
| MEDLINE | ID: mdl-35444260
13.
Using Artificial Neural Network Condensation to Facilitate Adaptation of Machine Learning in Medical Settings by Reducing Computational Burden: Model Design and Evaluation Study.
JMIR Form Res
; 5(12): e20767, 2021 Dec 08.
Artigo
Inglês
| MEDLINE | ID: mdl-34889747
14.
High-throughput 5' UTR engineering for enhanced protein production in non-viral gene therapies.
Nat Commun
; 12(1): 4138, 2021 07 06.
Artigo
Inglês
| MEDLINE | ID: mdl-34230498
15.
Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation.
JMIR Form Res
; 4(12): e17265, 2020 Dec 22.
Artigo
Inglês
| MEDLINE | ID: mdl-33350391
16.
LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data.
PLoS One
; 15(4): e0230706, 2020.
Artigo
Inglês
| MEDLINE | ID: mdl-32302316
17.
The role of environmental factors on transmission rates of the COVID-19 outbreak: an initial assessment in two spatial scales.
Sci Rep
; 10(1): 17002, 2020 10 12.
Artigo
Inglês
| MEDLINE | ID: mdl-33046802
18.
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models.
ArXiv
; 2020 Apr 08.
Artigo
Inglês
| MEDLINE | ID: mdl-32550248
19.
The Role of Environmental Factors on Transmission Rates of the COVID-19 Outbreak: An Initial Assessment in Two Spatial Scales.
SSRN
; : 3552677, 2020 Mar 12.
Artigo
Inglês
| MEDLINE | ID: mdl-32714106
20.
Patients with Cancer Appear More Vulnerable to SARS-CoV-2: A Multicenter Study during the COVID-19 Outbreak.
Cancer Discov
; 10(6): 783-791, 2020 06.
Artigo
Inglês
| MEDLINE | ID: mdl-32345594