Objective Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activity in real‐world electronic health records (EHRs) data has limited the ability to generate real‐world evidence (RWE).
David Cheng +34 more
wiley +1 more source
Correction: A novel framework for enhancing transparency in credit scoring: Leveraging Shapley values for interpretable credit scorecards. [PDF]
Hlongwane R, Ramaboa K, Mongwe W.
europepmc +1 more source
Cancer in Systemic Sclerosis: Clinical Associations and Prognostic Impact From the EUSTAR Registry
Objective Cancer represents a major cause of death in systemic sclerosis (SSc). Established risk factors are limited to specific subsets, particularly early diffuse anti‐RNA polymerase III (POLR3)–positive disease, needing further exploration. Methods We performed a nested case‐control study within the European Scleroderma Trials and Research group ...
Antonio Tonutti +52 more
wiley +1 more source
An investigation into the impact of temporality on COVID-19 infection and mortality predictions: new perspective based on Shapley Values. [PDF]
Chen M, Qian Q, Pan X, Li T.
europepmc +1 more source
Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions. [PDF]
Rodríguez-Pérez R, Bajorath J.
europepmc +1 more source
Abstract Biomass gasification technology has been extensively researched around the world; however, there is a need to evaluate the current research landscape and evolutionary direction of research in the broader context of energy transition. A systematic bibliometric analysis of the Web of Science database was performed for articles that fall within ...
Olasunkanmi Opeoluwa Adeoye +5 more
wiley +1 more source
Comparing Explanations of Molecular Machine Learning Models Generated with Different Methods for the Calculation of Shapley Values. [PDF]
Lamens A, Bajorath J.
europepmc +1 more source
Accelerating green heterocyclic synthesis: Convergence of AI, automation, and sustainable chemistry
Green heterocyclic synthesis and data‐driven tools such as AI, high‐throughput experimentation, continuous flow, and self‐driving laboratories have developed largely in parallel. This review connects them and asks how green metrics such as E‐factor and PMI might serve as explicit optimization targets rather than post‐hoc measures, toward sustainable ...
Noor Aisyah Ahmad Shah +8 more
wiley +1 more source
Bridging the translational gap in clinical nanomedicine: From rational design to clinical reality
Nanotechnology offers a multi‐faceted approach to modern healthcare, encompassing high‐sensitivity diagnostic imaging, innovative vaccine delivery, and targeted therapeutics. This review explores how these nanomedicine applications address critical challenges in cancer recurrence and the treatment of neurologic and respiratory diseases to combat rising
Ahmed H. Ghonaim +9 more
wiley +1 more source
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez +3 more
wiley +1 more source

