A Novel Cooperative AI-Based Fall Risk Prediction Model for Older Adults by Deepika Mohan, Peter Han Joo Chong, Jairo Gutierrez

Subjects: “…fall risk prediction…”
Get full text

Predicting vector distribution in Europe: at what sample size are species distribution models reliable? by Lianne Mitchel, Lianne Mitchel, Guy Hendrickx, Ewan T. MacLeod, Cedric Marsboom, Cedric Marsboom

“…IntroductionSpecies distribution models can predict the spatial distribution of vector-borne diseases by forming associations between known vector distribution and environmental variables. …”
Get full text

Construction and validation of a risk prediction model for hypoglycemia in patients with gestational diabetes mellitus by Jie-mei Yang, Li-zhi Wang, Xiang-feng Zhao, Qian-cheng Ye, Cui Wan, Xiu-zhen Li, Rui-fen Huang, Rong-rong Peng, Cai-xia Liu

Subjects: Get full text

Risk factors for complications after infantile enterostomy: development of a clinical prediction model by Zhaolan Zeng, Zhaolan Zeng, Yanling Hu, Yanling Hu, Shulin Hou, Shulin Hou, Ru Yang, Ru Yang, Zeyao Shi, Zeyao Shi, Xiaowen Li, Xiaowen Li

Subjects: Get full text

Weighted Hybrid Random Forest Model for Significant Feature prediction in Alzheimer’s Disease Stages by M. Rohini, D. Surendran

“…Abstract In recent studies, several machine learning and deep learning prediction models have been proposed for the early detection and classification of various stages of Alzheimer’s Disease (AD). …”
Get full text

An ensemble time-embedded transformer model for traffic conflict prediction at RRFB pedestrian crossings by Md Jamil Ahsan, Mohamed Abdel-Aty, B M Tazbiul Hassan Anik, Zubayer Islam

Subjects: Get full text

Anemia Risk Prediction Model for Osteosarcoma Patients Post‐Chemotherapy Using Artificial Intelligence by Zhiping Su, Zhiwei Nong, Feihong Huang, Chengxing Zhou, Chaojie Yu

“…ABSTRACT Objective This study aimed to develop a machine learning model for predicting anemia post‐chemotherapy in osteosarcoma patients. …”
Get full text

How mathematical models might predict desertification from global warming and dust pollutants by Eman Hakeem, Shireen Jawad, Ali Hasan Ali, Mohamed Kallel, Husam A. Neamah

Get full text

MRI-based deep transfer learning models for predicting progesterone receptor expression in meningioma by Song Gao, Li Zhao, Nan Li, Xiaoming Zhou, Chongfeng Duan

“…The predictive models were built via logistic regression (LR), support vector machine (SVM) and naive Bayes. …”
Get full text

Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist. by Karel G M Moons, Joris A H de Groot, Walter Bouwmeester, Yvonne Vergouwe, Susan Mallett, Douglas G Altman, Johannes B Reitsma, Gary S Collins

“…Carl Moons and colleagues provide a checklist and background explanation for critically appraising and extracting data from systematic reviews of prognostic and diagnostic prediction modelling studies. Please see later in the article for the Editors' Summary.…”
Get full text

Clinical ocular prediction model of postoperative ametropic amblyopia in patients with congenital ectopia lentis by Xinyue Wang, Xinyue Wang, Xinyue Wang, Xinyue Wang, Linghao Song, Linghao Song, Linghao Song, Yan Liu, Yan Liu, Yan Liu, Qiuyi Huo, Qiuyi Huo, Qiuyi Huo, Yang Sun, Yang Sun, Yang Sun, Zexu Chen, Zexu Chen, Zexu Chen, Wannan Jia, Wannan Jia, Wannan Jia, Xin Shen, Xin Shen, Xin Shen, Yalei Wang, Yalei Wang, Yalei Wang, Xinyao Chen, Xinyao Chen, Xinyao Chen, Tianhui Chen, Tianhui Chen, Tianhui Chen, Yongxiang Jiang, Yongxiang Jiang, Yongxiang Jiang, Rui Wang

Subjects: Get full text

A machine learning model for hub-height short-term wind speed prediction by Zongwei Zhang, Lianlei Lin, Sheng Gao, Junkai Wang, Hanqing Zhao, Hangyi Yu

“…Results show that MFWPN outperforms the ECMWF-HRES model regarding vector wind speed prediction accuracy within the first 6 h. …”
Get full text

A subtractive modelling approach for predicting the radiation of a cylindrical shell in a waveguide by Dumortier Florent, Kha Jamie, Karimi Mahmoud, Meyer Valentin, Maxit Laurent

“…Modeling the sound radiated from underwater structures immersed in various environments is necessary in ocean acoustics and naval engineering. …”
Get full text

Surface roughness rolling-transfer regularity and prediction model of high strength steel strips by ZHANG Qing-dong, ZHANG Bo-yang, MA Lei, LI Rui, ZHANG Yong

“…A surface roughness prediction model and a rolling-transfer rate model of high strength steel strips and a surface roughness prediction model of working rolls are established in this paper. …”
Get full text

Genome‐scale models of metabolism and gene expression extend and refine growth phenotype prediction by Edward J O'Brien, Joshua A Lerman, Roger L Chang, Daniel R Hyduke, Bernhard Ø Palsson

“…Growth requirements are well‐characterized experimentally for many microbes; however, we lack a unified model for cellular growth. Such a model must be predictive of events at the molecular scale and capable of explaining the high‐level behavior of the cell as a whole. …”
Get full text

A New Model for Prediction of Heat Eddy Diffusivity in Pipe Expansion Turbulent Flows

“…The model is used for prediction of Nusselt number distribution at various ranges of Reynolds number and expansion ratio. …”
Get full text

A Multiparameter Coupled Prediction Model for Annular Cuttings Bed Height in Horizontal Wells by Zongyu Lu, Baocheng Wu, Jiangang Shi, Chuanming Xi, Kai Wei

“…The research shows that within the range of normal construction parameters, the error of the horizontal cuttings height prediction model is less than 10%, which can meet the needs of engineering analysis. …”
Get full text

A machine learning-based model to predict intravenous immunoglobulin resistance in Kawasaki disease by Yuhan Xia, Yuezhong Huang, Min Gong, Weirong Liu, Yuanhui Meng, Huiyang Wu, Hui Zhang, Hao Zhang, Luyi Weng, Xiao-Li Chen, Huixian Qiu, Xing Rong, Rongzhou Wu, Maoping Chu, Xiu-Feng Huang

“…This study aimed to develop a predictive model for IVIG resistance in patients with Kawasaki disease and to identify the key predictors. …”
Get full text

Carbon Price Point and Interval-Valued Prediction Based on a Novel Hybrid Model by Haoyu Chen, Qunli Wu, Chonghao Han

“…While early research primarily focused on point forecasting of single-value carbon price, recent studies have shifted towards interval prediction, although there is still a lack of research dedicated to developing models for interval-valued predictions. …”
Get full text

Deep learning model using continuous skin temperature data predicts labor onset by Chinmai Basavaraj, Azure D. Grant, Shravan G. Aras, Elise N. Erickson

“…Labor onset windows were calculated from the AE-LSTM output using a probabilistic distribution of model error. For these windows AE-LSTM correctly predicted labor start for 79% of the spontaneous labors within a 4.6-day window at 7 days before true labor, and 7.4-day window at 10 days before true labor. …”
Get full text