An Ensemble Learning-Based Predictive Parameterization Approach for Permanent Magnet Synchronous Machines by Sema Nur Ipek, Nur Bekiroglu, Murat Taskiran

“…Thus, the model’s capacity to accurately predict parameters and represent machine behavior has been revealed, and this method offers a feasible option for the effective use of resources, such as time and labor, in the estimation of PMSM parameters.…”
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Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of depression in stroke patients by Wenwei Zuo, Xuelian Yang

“…The objective of this study was to develop and validate an interpretable predictive model to assess the risk of depression in stroke patients using machine learning (ML) methods. …”
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A review of the role of active remote sensing and data fusion for characterizing forest in wildlife habitat models by J. C. Vogeler, W. B. Cohen

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The development and validation of a column chart for predicting the regression risk of CIN2 by Jingjing Ren, Hui Wang, Xiu Zhang, Min Hao

“…Receiver operating characteristic (ROC) curve and resampling methods were employed to evaluate the predictive model in terms of accuracy and calibration. …”
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A machine learning-based risk prediction model for diabetic oral ulceration by Wang Xiaoling, Wang BingQian, Zhu Zhenqi, Li Wen, Gu Shuyan, Chen Hanbei, Xin Feng, Chenglong Yang, Jutang li, Guoyao Tang, Jie Wei

“…Methods This study aimed to develop an ML-based predictive model for DOU using oral examination, clinical, and socioeconomic data. …”
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Exploring Adiponectin and Leptin Levels as Potential Biomarkers in Osteoporosis Pathogenesis by Manal F. Al-Khakani, Mundher Mudhafar, Muna Sadeq Hameed

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Development and validation of a depression risk prediction model for rural elderly living alone by Shasha Gao, Huijun Zhang

“…Methods Using data from the 2011 China Health and Retirement Longitudinal Study (CHARLS), we included 1,221 participants. …”
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A nomogram model for predicting risk factors and the outcome of skin ulcer by Honglin Jia, Yang Tan, Hong Li, Xiaoqing Bu, Lingfei Li, Xia Lei

“…Background Wound healing is a complex process, and numerous factors affect the healing of skin ulcers.Objectives In order to identify the factors associated with wound healing, it is necessary to establish a visualized predictive model for evaluating the risk factors of patients with skin ulcers and to validate its effectiveness.Methods A retrospective observational study was conducted on 453 patients with skin ulcers admitted to the Dermatology ward of the Army Medical Center (Daping Hospital) in Chongqing, China, from January 2011 to July 2022. …”
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Preoperative prediction of flexible ureteroscopy outcome in the treatment of renal calculi by Mohammed Abozaid, Eid Elsherif, Fatma Elserafy, Islam Abobakr, Mohamed Selim

“…Abstract Background Retrograde intrarenal surgery (RIRS) is increasingly used for management of renal calculi. Many predictive scores have been devised to predict stone-free rate (SFR) after RIRS including Ito’s nomogram. …”
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Investigating the Predictive Value of Neutrophil to Lymphocyte Ratio on Radiation Therapy Outcomes: A Cohort Study by Muniba Alim, Shamila Alim, Shahid Siddiqui, Md Asif Khan

“…Tumour response was evaluated and statistical analysis was performed using Statistical Package for the Social Sciences (SPSS) version 23.0 to find the association between NLR and Complete Response (CR). …”
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Nomogram for spontaneous reduction in pediatric intussusception: a retrospective study by Guangyu Wang, Zhongce Li, Guangqi Duan, Bangzhi Sui, Zhiyuan Jin, Zhenjie Chu, Rui Tang, Xiao Wang, Honglong Ma, Shiqin Qi, Jie Liu

“…ObjectiveThis study aimed to develop a nomogram to predict the probability of spontaneous reduction of intussusception (SROI) in pediatric patients.MethodsClinical data of children diagnosed with intussusception and admitted to two hospitals in China from May 2023 to December 2024 were retrospectively analyzed. …”
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Association between colorectal cancer and arthritis among Americans in 2005–2016 by Zhongbo Hou, Niping Qin, Yanlin He, Jiang Chen, Yibo Cao, Wei Xie, Tianbao Xiao

“…Finally, nomogram was created to evaluate the predictive capacity. Results A total of 297,681 control subjects and 2,425 CRC subjects within this survey. …”
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An observational study to develop a scoring system and model to detect risk of hospital admission due to COVID‐19 by Zhe Chen, Nicholas W. Russo, Matthew M. Miller, Robert X. Murphy, David B. Burmeister

“…Methods We retrospectively evaluated data from COVID‐19 patients across a network of 6 hospitals in northeastern Pennsylvania. …”
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Explainable machine learning and online calculators to predict heart failure mortality in intensive care units by An‐Tian Chen, Yuhui Zhang, Jian Zhang

“…Abstract Aims This study aims to develop explainable machine learning models and clinical tools for predicting mortality in patients in the intensive care unit (ICU) with heart failure (HF). …”
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Improving T2D machine learning-based prediction accuracy with SNPs and younger age by Cynthia AL Hageh, Andreas Henschel, Hao Zhou, Jorge Zubelli, Moni Nader, Stephanie Chacar, Nantia Iakovidou, Haralampos Hatzikirou, Antoine Abchee, Siobhán O’Sullivan, Pierre A. Zalloua

“…Background: This study aimed to evaluate whether integrating clinical and genomic data improves the performance of machine learning (ML) models for predicting Type 2 Diabetes (T2D) risk. …”
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Deciphering key nano-bio interface descriptors to predict nanoparticle-induced lung fibrosis by Jiayu Cao, Yuhui Yang, Xi Liu, Yang Huang, Qianqian Xie, Aliaksei Kadushkin, Mikhail Nedelko, Di Wu, Noel J. Aquilina, Xuehua Li, Xiaoming Cai, Ruibin Li

“…Random forest classification was employed for analyzing in chemico, in vitro and in vivo data to identify predictive descriptors. Results The nano-bio interactions induced diverse changes in the 4 characteristics of MeONPs and had variable effects on the 14 cellular functions, which were quantitatively evaluated in chemico and in vitro. …”
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TECHNICAL CONDITION EVALUATION OF CONSTRUCTION MATERIALS OF A TURBO-REFRIGERATION UNIT PARTS OF AN AIRCRAFT AIR CONDITIONING SYSTEM BY CHANGING THE LEVEL OF RESIDUAL STRESSES by D. B. Matveev, I. G. Roberov, M. A. Kiselev, A. V. Kotelkin

“…The article describes a possible approach to evaluating and predicting the technical condition of the structural materials of assemblies and units operating under cyclic loading based on determining the change of residual stresses level on the surface of the parts during their operation. …”
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Development and Validation of a Predictive Nomogram for Myelosuppression Risk in Chronic Hepatitis B Patients Treated with Peginterferon by Fu J, Deng T, Zheng T, Shi P, Zhu W, Tao M, Wen Z, Wu X

“…In this study, we identified risk factors associated with increased myelosuppression, and incorporated them into a predictive nomogram.Patients and Methods: This study is designed as a case-control study. …”
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Spatial Variables and Land Use Change Models: A Study on Conditioning Patterns of Natural Vegetation Suppression and Persistence by Macleidi Varnier, Eliseu José Weber

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Early prediction of cognitive impairment in adults aged 20 years and older using machine learning and biomarkers of heavy metal exposure by Ali Nabavi, Farimah Safari, Mohammad Kashkooli, Sara Sadat Nabavizadeh, Hossein Molavi Vardanjani

“…Method: A retrospective analysis was conducted using 2011–2014 NHANES data. …”
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