Tailored diagnostic decision tree resulting from m...
Poster entitled "Tailored diagnostic decision tree resulting from machine learning to improve early diagnosis of ASMD" presented during WORLDSympos...
Poster entitled "Tailored diagnostic decision tree resulting from machine learning to improve early diagnosis of ASMD" presented during WORLDSympos...
The selection of an appropriate registry plays a critical role in RWD-based research, as registry features directly impact the quality of statistic...
To meet decision makers' expectations, a cross-sectional survey was conducted to evaluate current practices in identifying, selecting, and assessin...
Authors: C. Jiang, J. Tanniou, B. Amzal Date: 14 November 2023 DOI:...
The More-EUROPA project consortium brings together 14 public and private entities from 7 countries with the aim of enhancing the ethical and effect...
Numerous digital surveillance tools were developed during the COVID-19 pandemic to support public health decisions. Yet, those ad-hoc tools were es...
Machine learning on electronic health records (EHR) was used to produce a data-driven decision tree (algorithm) to flag high-risk patients for ASMD...
The purpose of this work is to explore and identify early predictors of IO responses measured in real-world practice, with the goal of guiding pres...
The purpose of this work is to propose a regulatory-grade, data-integrative, real-world-value-based and disease-centric approach to accelerate and ...
This non-comparative, retrospective study aimed to characterize the profiles of erectile disfunction (ED) patients prescribed with tadalafil by clu...