Development of a nomogram for predicting the risk of carcinoma in chronic atrophic gastritis by Jia-Yi Zhang, Ding Li, Guo-Jie Hu

“…Abstract Objective To construct a machine learning (ML) model to predict the progression of chronic atrophic gastritis (CAG) to gastric cancer (GC), given its precancerous significance. …”
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Predicting time-to-first cancer diagnosis across multiple cancer types by Kien Lau, Gregory R. Hart, Jun Deng

“…We developed predictive models using the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial for training and the UK Biobank for evaluation to estimate time-to-first cancer diagnosis for high-incidence cancers, including lung, liver, and bladder cancers. …”
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Purchasing Prediction Using Machine Learning Algorithms for Optimizing Inventory Management by Reza Hamdi Prayetno, Rani Destika Purba, Kyrene Wirawan, Kelvin Sweet, Evta Indra

“…The LSTM method is used to predict spare parts stock with significant accuracy, demonstrated through evaluation metrics: Mean Absolute Error (MAE) 12%, Mean Squared Error (MSE) 2%, and Root Mean Square Error (RMSE) 15%. …”
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Pretreatment Demodex infestation predicts dupilumab-associated blepharoconjunctivitis in atopic dermatitis by Paulina Stepinska, Kamila Zawadzinska-Halat, Maciej Pastuszczak

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Predicting cancer risk using machine learning on lifestyle and genetic data by Mohamed Abdelmoaty Ahmed, Ahmed AbdelMoety, Asmaa Mohamed Ahmed Soliman

“…Nine supervised learning algorithms were evaluated and compared, including Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), Support Vector Machines (SVMs), and several ensemble methods. …”
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Large language models to facilitate pregnancy prediction after in vitro fertilization by Ping Cao, Ganesh Acharya, Andres Salumets, Masoud Zamani Esteki

“…Abstract We evaluated the efficacy of large language models (LLMs), specifically, generative pre‐trained transformer‐4 (GPT‐4), in predicting pregnancy following in vitro fertilization (IVF) treatment and compared its accuracy with results from an original published study. …”
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Application of <i>in vitro</i> studies to predict the pharmacokinetics of rivaroxaban tablets by A. V. Suvorova, P. A. Losenkova, Yu. V. Medvedev, E. A. Malashenko, K. K. Karnakova, N. S. Bagaeva, A. Yu. Savchenko, A. M. Poluyanov, I. E. Shohin

“…Conduct a study of rivaroxaban tablets on a physiologically relevant tester to predict pharmacokinetic profiles.Materials and methods. …”
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Application of Deep Learning to the Prediction of Solar Irradiance through Missing Data by R. Girimurugan, P. Selvaraju, Prabahar Jeevanandam, M. Vadivukarassi, S. Subhashini, N. Selvam, S. K. Hasane Ahammad, S. Mayakannan, Selvakumar Kuppusamy Vaithilingam

“…The task of predicting solar irradiance is critical in the development of renewable energy sources. …”
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Multilingual Prediction of Cognitive Impairment with Large Language Models and Speech Analysis by Felix Agbavor, Hualou Liang

“…Previous research has focused on speech analysis primarily conducted using English data, leaving multilingual settings unexplored. Methods: In this study, we present our results from the INTERSPEECH 2024 TAUKADIAL Challenge, where we aimed to automatically detect mild cognitive impairment (MCI) and predict cognitive scores for English and Chinese speakers (169 in total). …”
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Do handgrip strength and dexterity predict respiratory function in neuromuscular disease? by Ertugrul Safran, Aysel Yildiz Ozer, Hulya Nilgun Gurses

“…Methods The Vignos and Brooke Upper Extremity Functional Scales were used to evaluate functional status for patient recruitment. …”
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Enhanced Helicopter Vibration Prediction With Hybrid Sampling and Cost Mining Techniques by Jeonghun Kim, Keunho Choi, Donghee Yoo

“…Experimental results confirm that the proposed hybrid sampling methods outperform traditional oversampling and undersampling techniques in prediction performance. …”
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The q-Dixon sequence for MRI predicts osteoporotic vertebral compression fractures by Jing Zhang, Qiyuan Li, Yao Wang, Li Sun, Qingyuan Zhang, Chuanping Gao

“…ObjectivesTo evaluate whether q-Dixon sequence-based fat fraction (FF) values of the lumbar spine can predict osteoporotic vertebral compression fracture (OVCF) risk in older adult(s) osteoporosis patients.Materials &amp; methodsThirty OVCF patients and 15 osteoporosis patients were enrolled. …”
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Mobility Prediction and Resource-Aware Client Selection for Federated Learning in IoT by Rana Albelaihi

“…The proposed approach incorporates a Mobility Prediction Model to forecast client connectivity and resource availability and a Resource-Aware Client Evaluation mechanism to assess eligibility based on predicted latencies. …”
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External Validation of the International Prognosis Prediction Model of IgA Nephropathy by Lichao Hu, Yi Fang, Jiaxin Huang, Jin Liu, Lingling Xu, Weichun He

“…This investigation aimed to validate the International IgA Nephropathy Prediction Tool (IIgANPT) within a contemporary Chinese cohort.Methods Within this study,185 patients diagnosed with IgAN via renal biopsy at the Center for Kidney Disease, Second Affiliated Hospital of Nanjing Medical University, between January 2012 and December 2021, were encompassed. …”
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SevPredict: Exploring the Potential of Large Language Models in Software Maintenance by Muhammad Ali Arshad, Adnan Riaz, Rubia Fatima, Affan Yasin

“…The comparative analysis between the proposed approach and state-of-the-art approaches suggests that the proposed approach outperforms the state-of-the-art approaches in terms of performance evaluation metrics. SevPredict shows improvements over the best-performing state-of-the-art approach (BERT-SBR) with 1.72% higher accuracy, 2.18% higher precision, and 4.94% higher MCC. …”
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Development and validation of an interpretable risk prediction model for the early classification of thalassemia by Jin-Xin Lai, Jia-Wei Tang, Shan-Shan Gong, Ming-Xiong Qin, Yu-Lu Zhang, Quan-Fa Liang, Li-Yan Li, Zhen Cai, Liang Wang

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Lysosome-derived biomarkers for predicting survival outcome in acute myeloid leukemia by Gongchang Li, Yangyang Miao, Fang Yuan, Weiran Zhang, Yali Wu, Liqiang Zhu

“…In summary, a six-LRGs-related signature was developed to predict the prognosis of AML patients, and more research is necessary to determine whether this signature has therapeutic promise as an anti-AML target.…”
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Lung Ultrasound Score for Prediction of Weaning Outcome From Mechanical Ventilation by Farouk Mostafa Faris, Ayman Atef Sarabana, Kamel Mohamed abd elwahab, Mahmoud Saad Nawar

“…Abstract Introduction Failure of extubation of patients on mechanical ventilation is one of the common problems in the intensive care unit (ICU). Aim of work To evaluate the validity of lung ultrasound score in prediction of weaning outcomes and postextubation distress. …”
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Effect of milk recording scheme on lactation milk yields prediction accuracy by Dragomir Kompan, Drago Solić, Nikola Raguž, Sonja Jovanovac, Vesna Gantner

“…The Test Interval Method (TIM) was used for prediction of lactation values. …”
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In silico prediction of multi-epitope vaccine candidates against Mycobacterium leprae by Almas Shabrina, Asep Iin Nur Indra, Sonny Feisal Rinaldi, Fusvita Merdekawati

“…The vaccine candidate was also predicted to be stable, antigenic, non-allergenic, non-toxic, and hydrophilic. …”
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