ABSTRACT Machine learning (ML) algorithms have been increasingly used to predict learning disability (LD) risk across various disciplines, but the effectiveness of different algorithms remains unclear. We summarize the literature on ML applications for the identification and classification of LDs using behavioral (e.g., phoneme manipulation and sound ...
Yusra Ahmed +4 more
wiley +1 more source
Portraying identity Mahua through emotional attachment toward Chinese Mandarin among Malaysian Chinese heritage language learners. [PDF]
Qian L.
europepmc +1 more source
Loneliness and coping strategies in older adults in nursing homes in the Northern region of Malaysia: A mixed-method study. [PDF]
Ilham AZ, Norhayati MN, Bahari IS.
europepmc +1 more source
A bilingual Malay-English social media dataset for binary hate speech detection. [PDF]
Tan JC, Ong LY, Leow MC.
europepmc +1 more source
Sexual dimorphism in mental foramen position: A discriminant function study in the Malay population. [PDF]
Vandrangi SK +5 more
europepmc +1 more source
The Health for Life in Singapore (HELIOS) Study: delivering precision medicine research for Asian populations. [PDF]
Wang X +43 more
europepmc +1 more source
Digital motivation for cervical cancer screening: A quasi-experimental trial of the SeDAR Video among middle adulthood Malaysian women. [PDF]
Romli R +5 more
europepmc +1 more source
Association of GLP-1 receptor agonist use with cardiovascular outcomes in patients with non-obstructive hypertrophic cardiomyopathy. [PDF]
Bal HS +7 more
europepmc +1 more source
Toward robust social media sentiment for SMEs: a comparative study of dictionary-based and machine learning approaches with insights for hybrid methodologies. [PDF]
Susanto H +10 more
europepmc +1 more source
Accuracy of Ultrasound Estimation of Fetal Weight (EFW) at Term: Insights From a Malaysian Tertiary Hospital for Primary Care Implementation. [PDF]
Sia WT +3 more
europepmc +1 more source

