A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children by Sourav Paul, Minhazur Rahman, Anutee Dolley, Kasturi Saikia, Chongtham Shyamsunder Singh, Arifullah Mohammed, Ghazala Muteeb, Rosy Sarmah, Nima D. Namsa

“…A comparison of the performances of the seven models using the classification results obtained. …”
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Construction and evaluation of a nomogram model for predicting the risk of hospital-acquired pneumonia in elderly patients with acute ischemic stroke by Man Huang, Wan Wang, Wu-lin Li, Yan-qing Chen, Xian-ting Chen, Ye Liu, Yan Li, Dong-mei Ren, Fei Wang

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Assessment of prostate cancer aggressiveness through the combined analysis of prostate MRI and 2.5D deep learning models by Yalei Wang, Yuqing Xin, Baoqi Zhang, Fuqiang Pan, Xu Li, Manman Zhang, Yushan Yuan, Lei Zhang, Peiqi Ma, Bo Guan, Yang Zhang

“…The Grad-CAM technique was employed to explain the deep learning feature extraction process, supported by tree model visualization techniques to illustrate the decision-making process of the LightGBM model. …”
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Decoding vaccine hesitancy: a health belief model-driven comparative study of vaccination awareness dynamics in COVID-19 vaccination intentions by Zeming Li, Xinying Sun

“…Methods Using three-wave longitudinal cohort data from 500 adults in mainland China, participants were divided into four groups based on VA states: persistent awareness (Group 1), early-only awareness (Group 2), late-emerging awareness (Group 3), and persistently unaware (Group 4). …”
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DTL-GNN: Digital Twin Lightweight Method Based on Graph Neural Network by Chengjun Li, Liguo Yao, Yao Lu, Songsong Zhang, Taihua Zhang

“…In the digital twin system of mechatronics engineering, the scale and accuracy of models are continually improving. Nevertheless, this growth can hinder real-time interaction and decision-making accuracy within digital twins. …”
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ContrastLOS: A Graph-Based Deep Learning Model With Contrastive Pre-Training for Improved ICU Length-of-Stay Prediction by Guangrui Fan, Aixiang Liu, Chao Zhang

“…Experiments on three comprehensive ICU datasets—MIMIC-III, MIMIC-IV v3.0, and eICU—show that ContrastLOS consistently outperforms state-of-the-art baselines. …”
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Classifying AI-Powered prediction models for disability progression using the Tamir-Based complex fuzzy Aczel–Alsina WASPAS method by Jabbar Ahmmad, Meraj Ali Khan, Ibrahim Aldayel, Tahir Mahmood

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Histopathological image based breast cancer diagnosis using deep learning and bio inspired optimization by Venkata Nagaraju Thatha, M. Ganesh Karthik, Venu Gopal Gaddam, D. Pramodh Krishna, S. Venkataramana, Kranthi Kumar Lella, Udayaraju Pamula

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A cloud-based framework for the quantification of the spatially-explicit uncertainty of remotely sensed benthic habitats by Spyridon Christofilakos, Alina Blume, Avi Putri Pertiwi, Chengfa Benjamin Lee, Dimosthenis Traganos, Peter Reinartz

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Optimization of guidelines for Risk Of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter study by Una Kjällquist, Nikos Tsiknakis, Balazs Acs, Sara Margolin, Luisa Edman Kessler, Scarlett Levy, Maria Ekholm, Christine Lundgren, Erik Olsson, Henrik Lindman, Antonios Valachis, Johan Hartman, Theodoros Foukakis, Alexios Matikas

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Attention-based BiLSTM with positional embeddings for fake review detection by Jindong Chen, Tian Zhang, Zhihua Yan, Zhichao Zheng, Wen Zhang, Jian Zhang

“…The classification results demonstrate that PosAtt-BiLSTM model outperforms traditional models such as BiRNN and BiLSTM across all datasets. …”
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Artificial intelligence in primary aldosteronism: current achievements and future challenges by Yisi Xu, Benjin Liu, Xuqi Huang, Xudong Guo, Ning Suo, Shaobo Jiang, Hanbo Wang

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Machine learning algorithms as early diagnostic tools for prolonged operative time in patients with fluorescent laparoscopic cholecystectomy: a retrospective cohort study by Chu Wang, Chu Wang, JunYe Wen, ZiYi Su, HanXiang Yu

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Evaluating the Reasoning Capabilities of Large Language Models for Medical Coding and Hospital Readmission Risk Stratification: Zero-Shot Prompting Approach by Parvati Naliyatthaliyazchayil, Raajitha Muthyala, Judy Wawira Gichoya, Saptarshi Purkayastha

“… Abstract BackgroundLarge language models (LLMs) such as ChatGPT-4, LLaMA-3.1, Gemini-1.5, DeepSeek-R1, and OpenAI-O3 have shown promising potential in health care, particularly for clinical reasoning and decision support. …”
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A predictive model for WHO/ISUP pathologic grading of renal clear cell carcinoma based on CT radiomics: a multicenter study by Chunying Wu, Yuzhen Xi, Juanjuan Hu, Guodong Li, Xu Wang, Xiaofei Jiao, Zhongxiang Ding, Weiying Sun

“…Based on these factors, an optimized predictive model was developed through random forest classification and evaluated using calibration curves, ROC analysis, Delong test and decision curve analysis. …”
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Proposed improvement of product support packaging material defects using the Cross-Industry Standard Process for Data Mining (CRISP-DM) approach by Rina Fitriana, Anik Nur Habyba, Gina Almas Nabiha, Sannia Mareta

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The Application of Machine Learning Algorithms to Predict HIV Testing Using Evidence from the 2002–2017 South African Adult Population-Based Surveys: An HIV Testing Predictive Mode... by Musa Jaiteh, Edith Phalane, Yegnanew A. Shiferaw, Haruna Jallow, Refilwe Nancy Phaswana-Mafuya

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Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms by Shangmei Cao, Shaozhe Yang, Bolin Chen, Xixia Chen, Xiuhong Fu, Shuifu Tang

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Machine Learning-Augmented Triage for Sepsis: Real-Time ICU Mortality Prediction Using SHAP-Explained Meta-Ensemble Models by Hülya Yilmaz Başer, Turan Evran, Mehmet Akif Cifci

“…The proposed model was validated through internal cross-validation and external testing on the MIMIC-III dataset as well. …”
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A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective by Dung Nguyen Tien, Huong Thi Thu Bui, Tram Hoang Thi Ngoc, Thuy Thi Pham, Dac Trung Nguyen, Huyen Nguyen Thi Thu, Thi Thu Hang Vu, Thi Lan Anh Luong, Lan Thu Hoang, Ho Cam Tu, Nina Körber, Tanja Bauer, Lam Khanh Ho

“…ObjectiveThis study aims to develop a robust predictive model for mother-to-child transmission (MTCT) of HBV using decision tree algorithms, specifically Iterative Dichotomiser 3 (ID3) and classification and regression trees (CART). …”
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