Interpretable XGBoost model identifies idiopathic central precocious puberty in girls using four clinical and imaging features by Lu Tian, Yan Zeng, Helin Zheng, Jinhua Cai

Get full text

Analyzing Student Graduation and Dropout Patterns Using Artificial Intelligence and Survival Strategies by Behrouz Alefy, Vahid Babazadeh

Subjects: Get full text

Evaluating the Performance of Artificial Intelligence-Based Large Language Models in Orthodontics—A Systematic Review and Meta-Analysis by Farraj Albalawi, Sanjeev B. Khanagar, Kiran Iyer, Nora Alhazmi, Afnan Alayyash, Anwar S. Alhazmi, Mohammed Awawdeh, Oinam Gokulchandra Singh

Get full text

The Effect of Secondary Traumatic Stress and Cognitive Flexibility on Psychological Well-Being in Health Education Students by Yakup Sarpdağı, Ebubekir Kaplan, Özkan Sir, Metin Yıldız, Devlet Kaymaz, Necmettin Çiftci, Sevgi SARPDAĞI

“…Abstract Aim The aim of this study is to examine the effects of secondary traumatic stress and cognitive flexibility on the psychological well-being of nursing and midwifery students and to model these relationships with machine learning approaches. …”
Get full text

Identification of Writing Strategies in Educational Assessments with an Unsupervised Learning Measurement Framework by Cheng Tang, Jiawei Xiong, George Engelhard

Get full text

Clinical, Research, and Educational Applications of ChatGPT in Dentistry: A Narrative Review by Francesco Puleio, Giorgio Lo Giudice, Angela Mirea Bellocchio, Ciro Emiliano Boschetti, Roberto Lo Giudice

Get full text

Use of Machine Learning to Predict the Incidence of Type 2 Diabetes Among Relatively Healthy Adults: A 10-Year Longitudinal Study in Taiwan by Ying-Qiang Liu, Tzu-Wei Chang, Lung-Chun Lee, Chia-Yu Chen, Pi-Shan Hsu, Yu-Tse Tsan, Chao-Tung Yang, Wei-Min Chu

Get full text

Predicting patients with septic shock and sepsis through analyzing whole-blood expression of NK cell-related hub genes using an advanced machine learning framework by Chao Du, Chao Du, Chao Du, Stephanie C. Tan, Stephanie C. Tan, Heng-Fu Bu, Heng-Fu Bu, Saravanan Subramanian, Saravanan Subramanian, Hua Geng, Hua Geng, Xiao Wang, Xiao Wang, Hehuang Xie, Xiaowei Wu, Tingfa Zhou, Ruijin Liu, Zhen Xu, Bing Liu, Xiao-Di Tan, Xiao-Di Tan, Xiao-Di Tan

Get full text

AI model for predicting asthma prognosis in children by Elham Sagheb, MS, Chung-Il Wi, MD, Katherine S. King, MS, Bhavani Singh Agnikula Kshatriya, MS, Euijung Ryu, PhD, Hongfang Liu, PhD, Miguel A. Park, MD, Hee Yun Seol, MD, Shauna M. Overgaard, PhD, Deepak K. Sharma, PhD, Young J. Juhn, MD, Sunghwan Sohn, PhD

Get full text

Improving SMART learning: Course completion via AI-driven hybrid system integration in big data by Abdellah Bakhouyi, Amine Dehbi, Lahcen Amhaimar, Said Broumi, Mohamed Talea, Abderrahim Khalidi

“…The hybrid system implements state-of-the-art machine learning modeling techniques, including Decision Trees, Support Vector Machines, and Naïve Bayesian Classifiers for analyzing the performance of the students' data as well as for predicting successful completion of the course. …”
Get full text

Application of machine learning algorithms to model predictors of informed contraceptive choice among reproductive age women in six high fertility rate sub Sahara Africa countries by Mequannent Sharew Melaku, Lamrot Yohannes, Berhanu Sharew, Mintesnot Hawaz Derseh, Eliyas Addisu Taye

“…While studies on informed contraceptive choice are available using classical regression analysis, the diverse nature of factors have not been systematically analyzed using machine learning algorithms. Hence, this study aimed to apply machine learning algorithms to model predictors of informed contraceptive choices among reproductive age women in six high fertility rate Sub Sahara Africa countries. …”
Get full text

A MaxEnt-TRIGRS hybrid model with dynamic safety factor mapping for enhanced debris flow susceptibility assessment in rainfall-triggered terrains by Xinlong Xu, Yue Qiang, Li Li, Siyu Liang, Tao Chen, Wenjun Yang, Xinyi Tan, Xi Wang, He Yang

Get full text

A structural topic modeling of communication research: insights from over a century of journals' abstracts by Mohamed M. Mostafa, Mohammad Alhur, Ahmed M. Moustafa

Get full text

The digital fingerprint of learner behavior: Empirical evidence for individuality in learning using deep learning by Asaf Salman, Giora Alexandron

Get full text

Enhancing Competency-Based Learning with Neutrosophic Regression and the Deming Cycle by Dr Hortencio Flores Flores, Dr. Irma Reyes Blácido, Dr. Magda Patricia Ramos Cevallos, Dr. Nemesia Hidalgo Penadillo, Mg. Luz Magali Villarroel Nuñez

Get full text

Exploring Determinants and Predictive Models of Latent Tuberculosis Infection Outcomes in Rural Areas of the Eastern Cape: A Pilot Comparative Analysis of Logistic Regression and M... by Lindiwe Modest Faye, Cebo Magwaza, Ntandazo Dlatu, Teke Apalata

“…This study aimed to identify the key factors influencing LTBI outcomes through the application of predictive models, including logistic regression and machine learning techniques, while also evaluating strategies to enhance LTBI awareness and testing. …”
Get full text

Exploring public attention in the circular economy through topic modelling with twin hyperparameter optimisation by Junhao Song, Yingfang Yuan, Kaiwen Chang, Bing Xu, Jin Xuan, Wei Pang

Get full text

Artificial intelligence models predicting abnormal uterine bleeding after COVID-19 vaccination by Yunjeong Choi, Jaeyu Park, Hyejun Kim, Young Joo Lee, Yongbin Lee, Yong Sung Choi, Seung Geun Yeo, Jiseung Kang, Masoud Rahmati, Hayeon Lee, Dong Keon Yon, Jinseok Lee

Get full text

Stacked ensemble model for NBA game outcome prediction analysis by Guangsen He, Hyun Soo Choi

Get full text

Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases by Roshan Kumar, V Srirama, Krishnaraj Chadaga, H Muralikrishna, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga

Get full text