Results 161 to 170 of about 83,645 (264)

Applying machine learning to pharmacovigilance data: A proof‐of‐concept study

British Journal of Clinical Pharmacology, EarlyView.
Aim Machine learning (ML) applications in pharmacovigilance remain limited and underexplored. Using data from the French National pharmacovigilance database (FNPV), this proof‐of‐concept study aimed to assess the feasibility of using a ML algorithm—eXtreme Gradient Boosting (XGBoost)—combined with SHapley Additive exPlanations (SHAP) analysis, to ...
Romain Barus, Pauline Schiro, Jean‐Luc Faillie, Romane Freppel, Johana Béné, Claire de Canecaude, François Montastruc   +6 more
wiley   +1 more source

Automated ROI detection allows rapid quantification of synaptic activity across tens of thousands of synapses in cell culture. [PDF]

Front Synaptic Neurosci
Begley JC, Prüss H, Turko P, Dean C.
europepmc   +1 more source

Relationship between continuous infusion meropenem PK/PD target attainment and C‐reactive protein dynamics in onco‐haematologic patients with febrile neutropenia

British Journal of Clinical Pharmacology, EarlyView.
Aim Meropenem is a second‐line antimicrobial agent in the treatment of febrile neutropenia in onco‐haematological patients. A population pharmacokinetic/pharmacodynamic (PK/PD) analysis for assessing the relationship between meropenem exposure and C‐reactive protein (C‐RP) over time was conducted.
Chun Liu, Pier Giorgio Cojutti, J. G. Coen van Hasselt, Michele Bartoletti, Maddalena Giannella, Pierluigi Zinzani, Pierluigi Viale, Federico Pea   +7 more
wiley   +1 more source

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

British Educational Research Journal, EarlyView.
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran, Ercümend Ersanlı, Hurinur Çelik   +2 more
wiley   +1 more source

Applying supervised machine learning algorithms and ensemble models to enhance credit card fraud detection. [PDF]

Front Artif Intell
Al-Bulushi A, Shaikh AK, Adhikari N.
europepmc   +1 more source

Machine Learning Models of Phase Contrast Images Predict Efficiency of Human Pluripotent Stem Cell Differentiation to Cardiomyocytes

Biotechnology and Bioengineering, EarlyView.
Human pluripotent stem cells were differentiated to cTnT+ cardiomyocytes and imaged throughout the process using phase contrast. We predicted differentiation efficiency (cTnT+ area) from phase contrast and compared model performance with a live‐cell cTnT‐GFP reporter.
Austin K. Feeney, Yaniv Ovadia, Aaron D. Simmons, Christian Elabd, Claire J. Peplinski, Frank Li, Sean P. Palecek   +6 more
wiley   +1 more source

Addressing Class Imbalance in Fetal Health Classification: Rigorous Benchmarking of Multi-Class Resampling Methods on Cardiotocography Data. [PDF]

Diagnostics (Basel)
Hawrami ZSM, Cengiz MA, Dünder E.
europepmc   +1 more source

The Impact of Sustainability Orientation and Sustainability Challenges in SME Responses to Institutional Support

Business Strategy and the Environment, EarlyView.
ABSTRACT SMEs receive increasing institutional support to embed sustainability, yet they vary widely in their ability to translate such support into practice. This study addresses this gap by examining the internal cognitive and strategic mechanism (sustainability orientation) through which managers interpret institutional support and the contextual ...
Michael Zisuh Ngoasong, Aqueel Imtiaz Wahga, Sam Zisuh Njinyah, Yen‐Jung Tseng   +3 more
wiley   +1 more source

Root canal segmentation from cone-beam computed tomography guided by micro-computed tomography based on deep learning. [PDF]

BMC Oral Health
Gao X, Ma J, Li B, Fang Y, Hu L, Zhou M, Fan B.   +6 more
europepmc   +1 more source

A Decision‐Making Model for Implementing Green Technology in Sustainable Building Projects

Business Strategy and the Environment, EarlyView.
ABSTRACT Green technology (GT) adoption is pivotal for reconciling environmental stewardship with economic viability in the built environment, particularly in resource‐constrained emerging economies. However, empirical evidence on how specific GT drivers actively mitigate adoption barriers remains scarce.
Abdelazim Ibrahim, Ahmed Farouk Kineber, Ayodeji Emmanuel Oke, Mehrdad Arashpour, M. K. S. Al‐Mhdawi, Abe Abimbola Maxwell   +5 more
wiley   +1 more source