2023, 27 April
Identifiying predictive factors of diabetic ketoac...
The article “Identification of Predictive Factors of Diabetic Ketoacidosis in Type 1 Diabetes Using a Subgroup Discovery Algorithm” was written...
2023, 27 April
Identification of Predictive Factors of Diabetic K...
Q-Finder, a supervised non-parametric proprietary subgroup discovery algorithm, was used to identify subgroups with clinical characteristics associ...
2021, 28 July
Assay Harmonization and Use of Biological Standard...
The hemagglutination inhibition (HAI) assay is an established technique for assessing influenza immunity, through measurement of antihemagglutinin ...
2020, 17 December
Q-Finder: An Algorithm for Credible Subgroup Disco...
In this paper, we present the Q-Finder algorithm that aims to generate statistically credible subgroups to answer clinical questions, such as findi...
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...
2019, 18 September
Identification of predictive factors of DKA using ...
Diabetic ketoacidosis (DKA) is a serious complication of type 1 diabetes (T1D), which is difficult to diagnose due to variability in symptoms. Bett...
2019, 03 May
Identification of subgroups of patients with Type ...
To investigate the effects of sodium-glucose co-transporter-2 (SGLT2) inhibitors vs. dipeptidyl peptidase-4 (DPP-4) inhibitors on renal function pr...
2018, 10 November
Compare renal function preservation outcome of SGL...
This study aimed to evaluate renal function preservation (RFP) of SGLT2i vs DPP4i in Japanese type 2 diabetes patients and identify patient sub-gro...
2018, 03 October
A machine learning algorithm can identify clusters...
Detecting consistent patterns of interest can be performed using data-driven subgroup discovery algorithms. These may be instrumental in exploiting...
2018, 26 April
A predictive model for risk of early grade ≥...
Infections are a major cause of death in patients with multiple myeloma. A post hoc analysis of the phase 3 FIRST trial was conducted to characteri...