A Scoring Algorithm for the Early Prediction of Academic Risk in STEM Courses by Vanja Čotić Poturić, Sanja Čandrlić, Ivan Dražić

Subjects: “…educational data mining…”
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Geoinformation monitoring of the educational risk in educational institutions of higher education by Aleksandr N. Kolesenkov, Dmitry S. Zhuravlyov

“…The effect, received by a person and society from mastering the basic professional educational programs is problematic to quantify, which leads to the emergence of a risk that characterizes the quality of management decision-making procedures for implementing the educational process in higher education institutions in terms of the level of achievement of the set criteria and indicators.The aim of the work is the development of technology for monitoring of the educational risk based on the geoinformation approach and methods of data mining. …”
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Predicting Bank Loan Risks Using Machine Learning Algorithms by Maan Alsaleem, Safwan Hasoon

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Postpartum depression risk prediction using explainable machine learning algorithms by Xudong Huang, Lifeng Zhang, Chenyang Zhang, Jing Li, Chenyang Li

“…The key predictive factors included weight gain during pregnancy, relationship with the mother-in-law, sleep quality, marital relationship, planned pregnancy, fetal sex preference, pregnancy-related anxiety, pelvic-floor muscle endurance, cervix status, attendance at prenatal education classes, and postpartum care satisfaction.ConclusionThe XGBoost model demonstrated optimal performance at predicting PPD and can aid healthcare professionals to identify high-risk individuals. …”
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Development of a Quantitative Assessment Algorithm for Operational Risks in Mining Engineering by Marina Nevskaya, Anna Shabalova, Liubov Nikolaichuk, Natalya Kirsanova

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A new algorithm to assess the risk of malignancy in premenopausal patients with pelvic mass by M. S. Katsyuba, R. Sh. Khasanov, T. I. Madzhidov, G. Z. Muratova, G. A. Usmanova, A. F. Akhmetzyanova, A. Rakhimbekova, V. V. Terentyeva, G. R. Fakhrutdinova

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Algorithm of echocardiography in pregnant women by S. G. Gorokhova, T. E. Morozova, A. A. Arakelyants, E. A. Barabanova, E. G. Dyakonova

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Seismic Vulnerability Assessment of Reinforced Concrete Educational Buildings Using Machine Learning Algorithm by Tapan Kumar, Mohammad Al Amin Siddique, Raquib Ahsan

“…The main objective of this paper is to assess the vulnerability of reinforced concrete (RC) educational buildings in Dhaka city to seismic activity by utilizing machine learning (ML) algorithms. …”
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Predictive analytics in gamified education: A hybrid model for identifying at-risk students by Devanshu Sawarkar, Latika Pinjarkar, Pratham Agrawal, Devansh Motghare

“…This research proposes a hybrid predictive model designed to identify at-risk students within a gamified education environment accurately. …”
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Factors influencing the acceptance and usage of ChatGPT as an emerging learning tool among higher education students in Bangladesh: a structural equation modeling by Md. Hasan Howlader, Mortuja Mahamud Tohan, Sayeeda Zaman, Sanjoy Kumar Chanda, Guo Jiaxin, Md. Ashfikur Rahman

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Algorithm for assessing the total 10 years risk of death from cardiovascular diseases in women 25-64 years old in Tyumen (Tyumen risk scale) by G. S. Pushkarev, S. T. Matskeplishvili, V. A. Kuznetsov, E. V. Akimova

“…Purpose: To define total 10-year cardiovascular mortality risk in Russian females in dependence on traditional and psychosocial risk factors (RF) and to design the algorithm of its estimation.Methods. …”
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Content Analysis of Judges’ Sentiments Toward Artificial Intelligence Risk Assessment Tools by A. Fine, S. Le, M. K. Miller

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RADAR-TRACKING OBJECTS SEQUENTIAL RECOGNITION ALGORITHM, PROVIDING MINIMIZATION AVERAGE RISK OF ACCEPTED DECISIONS by A. S. Khramiankou, S. N. Yarmolik

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Towards responsible artificial intelligence in education: a systematic review on identifying and mitigating ethical risks by Haotian Zhu, Yao Sun, Junfeng Yang

“…Abstract Artificial Intelligence in Education (AIED) is becoming increasingly influential in the educational sphere, offering significant benefits and presenting ethical risks. …”
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Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

“…This systematic literature review evaluates predictive models in education, focusing on their role in forecasting student performance, identifying at-risk students, and personalising learning experiences. …”
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The Potential Merits and Risks of Deploying Artificial Intelligence as a Pedagogical Tool for Teacher Education in Kenya by Hellen Chelangat Sang

“…This study examines the potential risks and benefits of incorporating AI into various facets of teacher education in Kenya. …”
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Predicting stunting status among under five children in ethiopia using ensemblemachine learning algorithms by Misganaw Ketema Ayele, Getachew Alemu Baye, Seid Hassen Yesuf, Abebaw Agegne Engda, Eshetie Teka Mitiku

“…Among the models, Random Forest achieved the highest performance with an accuracy of 97.985%, precision of 97.986%, recall of 97.985%, F1-score of 97.954%, and ROC-AUC of 99.995%. The top risk factors contributing to stunting included child’s age, maternal education level, birth order, household wealth index, mother’s BMI, breastfeeding duration, and access to clean water and sanitation. …”
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Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics by Md Abu Sufian, Lujain Alsadder, Wahiba Hamzi, Sadia Zaman, A. S. M. Sharifuzzaman Sagar, Boumediene Hamzi

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Positive relationship between education level and risk perception and behavioral response: A machine learning approach. by Zhipeng Wei, Zhichun Zhang, Liping Guo, Wenjie Zhou, Kehu Yang

“…This paper aims to examine the influence mechanism of education level as a key situational factor in the relationship between risk perception and behavioral response, encompassing both behavioral intention and preparatory behavior. …”
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Machine learning algorithms to predict stroke in China based on causal inference of time series analysis by Qizhi Zheng, Ayang Zhao, Xinzhu Wang, Yanhong Bai, Zikun Wang, Xiuying Wang, Xianzhang Zeng, Guanghui Dong

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