Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification. [PDF]
Srisuradetchai P.
europepmc +1 more source
To address the limitations of conventional trial‐and‐error approaches, perovskite solar cell research is shifting toward a new paradigm that utilizes datasets and AI. This review examines the fundamental elements of data‐driven and AI‐integrated research: data platforms, AI methodologies, and self‐driving laboratories, demonstrating how their ...
Jaehee Lee +5 more
wiley +1 more source
Multimodal imaging and machine learning for diagnosis of Parkinson's disease with cognitive impairment: ASL and QSM as potential biomarkers. [PDF]
Qi W +6 more
europepmc +1 more source
Impacts of Biostimulants on Nitrous Oxide Emissions and the Soil Microbiome
Soil incubation experiment examining the influence of biostimulants on greenhouse gas emissions and the soil microbiome in fertilized soils. ABSTRACT Background Overapplication of nitrogenous fertilizer and enhanced microbial activity in agricultural soils are drivers of increasing greenhouse gas emissions.
Conor Blunt +4 more
wiley +1 more source
Ensemble machine learning strategies for mineral prospectivity mapping under data scarcity. [PDF]
Amirajlo P +3 more
europepmc +1 more source
Abstract Purpose The tibial slope is a well‐known risk factor for anterior cruciate ligament (ACL) injury. As machine learning continues to progress, it has become an increasingly explored tool for clinical screening and risk factor analysis. This study aims to develop and validate a prognostic machine learning model to predict the outcome of ACL ...
Cheng‐Hao Kao +3 more
wiley +1 more source
Refining cancer prediction with DNA sequencing and combined machine learning approaches. [PDF]
Malakouti SM.
europepmc +1 more source
Machine learning models developed from matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry spectra can rapidly predict antimicrobial resistance in Klebsiella pneumoniae. By transforming routine spectral data into accurate resistance profiles within minutes, this approach could reduce diagnostic delays and support earlier ...
Stephen Mark Edward Fordham
wiley +1 more source
Explainable machine learning for early diagnosis of esophageal cancer: A feature-enriched Light Gradient Boosting Machine framework with Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretations. [PDF]
Ridwan AM, Mohi Uddin KM.
europepmc +1 more source
ABSTRACT Physiological markers are increasingly used to monitor individuals undergoing Virtual Reality (VR) stress interventions. However, several challenges arise when employing these markers to assess the impact of VR stress interventions. This systematic review synthesises and critically discusses the literature on VR stress interventions across ...
Lisanne M. Robbemond +3 more
wiley +1 more source

