Sustainability in Healthcare: The Role of Digital Technologies for Improving Patient Engagement
ABSTRACT Sustainability in healthcare is getting considerable research attention as systems worldwide tend to balance environmental, social, and economic factors. In this context, digital technologies have demonstrated significant potential to enhance engagement among different consumer groups across various industries.
Francesco Schiavone +4 more
wiley +1 more source
Multi-class machine learning classification and important features on anemia among women in Tanzania and Rwanda. [PDF]
Kebede SG +3 more
europepmc +1 more source
Abstract Background Academic buoyancy is conceptualized as students' capacity to cope with academic challenges. Studies that examine how academic buoyancy and coping responses are reciprocally related, or that include relations with achievement, are lacking.
David W. Putwain, Laura J. Nicholson
wiley +1 more source
Recursive Ectopic Gene Conversion Leads to Elevated DNA Mutation, Gene Loss, and Novel Gene Formation in Aspergillus. [PDF]
Wang R +8 more
europepmc +1 more source
Detecting Critical Change in Dynamics Through Outlier Detection with Time‐Varying Parameters
Abstract Intensive longitudinal data are often found to be non‐stationary, namely, showing changes in statistical properties, such as means and variance‐covariance structures, over time. One way to accommodate non‐stationarity is to specify key parameters that show over‐time changes as time‐varying parameters (TVPs). However, the nature and dynamics of
Meng Chen +2 more
wiley +1 more source
Global Convergence of Implicit STC Based on Recursive Least Squares Method
Hiroshi HASHIMOTO, Kageo AKIZUKI
openaire +2 more sources
Development of a machine learning prognostic model for early prediction of scrub typhus progression at hospital admission based on clinical and laboratory features. [PDF]
Lu Y +11 more
europepmc +1 more source
ReMoDe – Recursive modality detection in distributions of ordinal data
Abstract The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data.
Madlen Hoffstadt +3 more
wiley +1 more source
SEISMIC DAMAGE TRACKING OF MULTISTORY BUILDINGS USING RECURSIVE LEAST SQUARES METHOD
Takuji HAMAMOTO +2 more
openaire +2 more sources
Improved logistic regression combined with recursive feature elimination for investigating key influencing factors of Tornado Kick Turn in Wushu Routines. [PDF]
Xu M, Shu Y, Hua Y, Yuan J, Zha S, Wu X.
europepmc +1 more source

