Detalhe da pesquisa
1.
Development of Predictive Models to Inform a Novel Risk Categorization Framework for Antibiotic Resistance in E. coli-Causing Uncomplicated Urinary Tract Infection.
Clin Infect Dis
; 2024 Apr 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-38573310
2.
Tree-Based Machine Learning to Identify Predictors of Psoriasis Incidence at the Neighborhood Level: A Populational Study from Quebec, Canada.
Am J Clin Dermatol
; 25(3): 497-508, 2024 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-38498268
3.
Development and evaluation of a predictive algorithm for unsatisfactory response among patients with pulmonary arterial hypertension using health insurance claims data.
Curr Med Res Opin
; 38(6): 1019-1030, 2022 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-35243952
4.
Predicting Clinical Remission of Chronic Urticaria Using Random Survival Forests: Machine Learning Applied to Real-World Data.
Dermatol Ther (Heidelb)
; 12(12): 2747-2763, 2022 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-36301485
5.
Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance prediction.
EBioMedicine
; 43: 356-369, 2019 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-31047860
6.
The economic impact of a partnership-measurement model of disease management: Improving Cardiovascular Outcomes in Nova Scotia (ICONS).
Healthc Q
; 10(2): 38-46, 2007.
Artigo
em Inglês
| MEDLINE | ID: mdl-17491566
7.
The value of antihypertensive drugs: a perspective on medical innovation.
Health Aff (Millwood)
; 26(1): 97-110, 2007.
Artigo
em Inglês
| MEDLINE | ID: mdl-17211019