Results 121 to 130 of about 18,911 (296)
Teaching Mishaps With Mistakes: A Peer‐Led Seminar Using Student Case Studies to Enhance Retention
ABSTRACT Traditional teaching often emphasizes correct methods, limiting opportunities to explore analytical errors and biases. We introduce a seminar framework that integrates peer‐to‐peer teaching with intentional exposure to statistical and machine learning mishaps through flawed, student‐designed case studies.
Elizabeth Y. Yuu, Bernhard Y. Renard
wiley +1 more source
Background Musculoskeletal disorders (MSDs) are a major health concern for children. Traditional assessment methods, which are based on subjective assessments, may be inaccurate.
Sara Manoochehri +4 more
doaj +1 more source
SMOTE-SVM for Handling Imbalanced Data in Obesity Classification
Obesity is a significant health issue associated with various chronic diseases, making its early classification critical for effective interventions.
Muhammad Kunta Biddinika +3 more
doaj +1 more source
A Country That Never Sleeps? A Web Scrapping Analysis of the 24‐h Economy Policy in Ghana
ABSTRACT In light of revitalizing Ghana's economic landscape through sustainable job creation underpinned by 24‐h operations across all key sectors, the National Democratic Congress proposed the ‘24‐h economy’ policy proposal. This study employs the web‐scraping technique through text mining and python codes to analyse 1820 comments from Facebook, X ...
Pius Gamette +3 more
wiley +1 more source
Penerapan: Penerapan Metode SMOTE Untuk Mengatasi Imbalanced Data Pada Klasifikasi Ujaran Kebencian
Ujaran kebencian adalah penyebaran kebencian terhadap individu atau kelompok atas dasar suku, agama, ras, dan karakteristik lain yang dapat menimbulkan diskriminasi, kekerasan, dan konflik sosial.
Ridwan Ridwan +2 more
doaj +1 more source
A comparative study on SMOTE, CTGAN, and hybrid SMOTE-CTGAN for medical data augmentation
The imbalance of clinical datasets remains a challenge in medical data mining, often resulting in models biased toward majority outcomes and reduced sensitivity to rare but clinically critical cases. This study presents a comparative evaluation of three augmentation strategies—Synthetic Minority Oversampling Technique (SMOTE), Conditional Tabular GAN ...
Ninda Khoirunnisa, Miftahurrahma Rosyda
openaire +1 more source
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Hospital readmission among diabetic patients poses a significant burden on healthcare systems due to its frequency and associated costs. This study presents a machine learning framework for predicting 30-day readmission in diabetic patients using the ...
Joshua Pinem, Widi Astuti, Adiwijaya
doaj +1 more source
Read the free Plain Language Summary for this article on the Journal blog. Abstract Soil pH is recognized as a major determinant of soil biodiversity. However, the extent to which soil pH regulates soil biodiversity by influencing the biotic associations among species is unclear.
Cunzhi Zhang +9 more
wiley +1 more source
The rapid growth of the Internet of Things (IoT) has increased the risk of malware attacks, posing serious threats especially to micro, small, and medium enterprises (MSMEs) that often lack sufficient cybersecurity resources.
Muhammad Nurus Siroj +2 more
doaj +1 more source

