Pemilihan Prediktor Delisting Terbaik (Perbandingan Antara The Zmijewski Model, The Altman Model, dan The Springate Model) by Syamsul Hadi, Atika Anggraeni

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Low-cycle fatigue life modeling of similar and dissimilar carbon steel under rotary friction welding effect using adaptive neuro-fuzzy inference system (ANFIS) by Madyan Abduljabbar Marir, Ewe Lay Sheng, Imad Obaid Bachi, Mohd Rashdan Isa

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Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length by Zihao Wen, David L. Dowe

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Comparison of processing speed of NRS-ANN hybrid and ANN models for oil production rate estimation of reservoir under waterflooding by Paul Theophily Nsulangi, Werneld Egno Ngongi, John Mbogo Kafuku, Guan Zhen Liang

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Optimal LQG controller design for inverted pendulum systems using a comprehensive approach by Monika Rani, Sushma S. Kamlu

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Multimodal Data‐Driven Prognostic Model for Predicting Long‐Term Prognosis in Patients With Ischemic Cardiomyopathy and Heart Failure With Preserved Ejection Fraction After Coronar... by Jun Wang, Yijun Wang, Shoupeng Duan, Li Xu, Yanan Xu, Wenyuan Yin, Yi Yang, Bing Wu, Jinjun Liu

“…Decision curve analysis confirmed the clinical usefulness of the established prediction nomogram. Conclusions A clinically feasible prognostic model, based on preoperative multimodal data, was developed for risk stratification of patients with ischemic heart and heart failure with preserved ejection fraction who receive coronary artery bypass grafting surgery. …”
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Supporting long-term condition management: a workflow framework for the co-development and operationalization of machine learning models using electronic health record data insight... by Shane Burns, Andrew Cushing, Anna Taylor, David J. Lowe, Christopher Carlin

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Monitoring moisture content in parchment coffee beans during drying using Fourier Transform near infrared (FT-NIR) spectroscopy: A dataset for calibrating chemometric-based models... by Sandrith Ordoñez-Lozano, Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán

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Performance Modeling of Data Storage Systems Using Generative Models by Abdalaziz R. Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov, Mikhail Hushchyn

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Integrating Dynamic Red Blood Cell Distribution Width Monitoring and β-Blocker Therapy for Mortality Prediction in Intensive Care Unit Cardiomyopathy Patients: A Bayesian Multivari... by Si Chen, Rui Nie, Yi Wang, Haoran Guo, Yan Wang, Haixia Luan, Xiaoli Zeng, Hui Yuan

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Short-Term Energy Consumption Forecasting Analysis Using Different Optimization and Activation Functions with Deep Learning Models by Mehmet Tahir Ucar, Asim Kaygusuz

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Aging Assessment of Power Transformers with Data Science by Samuel Lessinger, Alzenira da Rosa Abaide, Rodrigo Marques de Figueiredo, Lúcio Renê Prade, Paulo Ricardo da Silva Pereira

“…This characteristic is achieved with the development of a synchronization method for different databases and the construction of a model for estimating ambient temperatures using k-Nearest Neighbors. …”
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Multitype Origin-Destination (OD) Passenger Flow Prediction for Urban Rail Transit: A Deep Learning Clustering First Predicting Second Integrated Framework by Zhaocha Huang, Han Zheng, Kuan Yang

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Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment f... by Sujin Kim, Ah Young Kim, Yu-Bin Shin, Seonmin Kim, Min-Sup Shin, Jinhwa Choi, Kyung Lyun Lee, Jisu Lee, Sangwon Byun, Heon-Jeong Lee, Chul-Hyun Cho

“…The primary outcome will be the development of machine-learning algorithms to predict depression and anxiety based on these digital biomarkers. …”
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Preoperative combined biomarker model of fibrinogen-to-albumin ratio and systemic immune-inflammation index to carbohydrate antigen 19-9 ratio predicts survival in distal cholangio... by Fangfei Wang, Qiang He, Shaocheng Lyu

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A risk prediction model for the assessment and triage of women with hypertensive disorders of pregnancy in low-resourced settings: the miniPIERS (Pre-eclampsia Integrated Estimate... by Beth A Payne, Jennifer A Hutcheon, J Mark Ansermino, David R Hall, Zulfiqar A Bhutta, Shereen Z Bhutta, Christine Biryabarema, William A Grobman, Henk Groen, Farizah Haniff, Jing Li, Laura A Magee, Mario Merialdi, Annettee Nakimuli, Ziguang Qu, Rozina Sikandar, Nelson Sass, Diane Sawchuck, D Wilhelm Steyn, Mariana Widmer, Jian Zhou, Peter von Dadelszen, miniPIERS Study Working Group

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Risk factors for death or serious adverse events within 3-month after surgery in frail older persons with hip fractures and development and validation of a risk prediction model: B... by Yaqi Guan, Lidan Zheng, Yipei Wang, Xiaoxiao Xu, Yueying Zhu

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Comparing the Performance of Machine Learning Models and Conventional Risk Scores for Predicting Major Adverse Cardiovascular Cerebrovascular Events After Percutaneous Coronary Int... by Min-Young Yu, Hae Young Yoo, Ga In Han, Eun-Jung Kim, Youn-Jung Son

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Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought... by Sanghwan Kim, Sowon Jang, Borham Kim, Leonard Sunwoo, Seok Kim, Jin-Haeng Chung, Sejin Nam, Hyeongmin Cho, Donghyoung Lee, Keehyuck Lee, Sooyoung Yoo

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OncoE25: an AI model for predicting postoperative prognosis in early-onset stage I-III colon and rectal cancer—a population-based study using SEER with dual-center cohort validatio... by Luyun Yuan, Liyu Wang, Jiamin Gao, Xin Chen, Haoyue Wang, Wei Shan Tan, Kexiang Sun, Yabin Gong, Wanli Deng

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