2023, 12 May
Estimating the pertussis burden in adolescents and...
We developed a machine learning algorithm to identify undiagnosed pertussis episodes in adolescent and adult patients with reported acute respirato...
2023, 12 May
Development of an algorithm for finding pertussis ...
While tetanus-diphtheria-acellular pertussis (Tdap) vaccines for adolescents and adults were licensed in 2005 and immunization strategies proposed,...
2023, 27 April
Cluster analysis of kidney function decline among ...
Fabry disease (FD) is an X-linked lysosomal storage disorder caused by deficient α-galactosidase A activity. The spectrum of disease includes phen...
2023, 27 April
Identification of Predictive Factors of Diabetic K...
To identify predictive factors for diabetic ketoacidosis (DKA) by retrospective analysis of registry data and the use of a subgroup discovery algor...
2023, 06 February
Qluster: An easy-to-implement generic workflow for...
The exploration of heath data by clustering algorithms allows to better describe the populations of interest by seeking the sub-profiles that compo...
2022, 23 December
ALIBERT: A PRETRAINED LANGUAGE MODEL FOR FRENCH BI...
Over the past few years, domain specific pretrained language models have been investigated and have shown remarkable achievements in different down...
2022, 22 December
LiSA : An assisted literature search pipeline for ...
Detecting safety signals attributed to a drug in scientific literature is a fundamental issue in pharmacovigilance. The constant increase in the vo...
2022, 14 November
Modeling approaches for early warning and monitori...
The COVID-19 pandemic has highlighted the lack of preparedness of many healthcare systems against pandemic situations
2022, 01 August
Epidemiology, treatment patterns, clinical outcome...
Immune‐mediated thrombotic thrombocytopenic purpura (iTTP) is a life‐threatening thrombotic microangiopathy. Due to its rarity, epidemiology an...
2020, 28 April
Rationale and methodology for a European pooled an...
Type 2 diabetes mellitus (T2DM) is a common and heterogeneous disease. Using advanced analytic approaches to explore real-world data may identify d...