An Air Traffic Controller Action Extraction-Prediction Model Using Machine Learning Approach by Duc-Thinh Pham, Sameer Alam, Vu Duong

“…Results indicate that the model for vertical maneuver actions provides highest prediction accuracy (99%). …”
Get full text

Transdiagnostic early warning score for psychiatric hospitalisation: development and evaluation of a prediction model by Seena Fazel, A John Rush, Maxime Taquet

“…There was no significant difference in model performance between white and non-white people.Discussion A transdiagnostic early warning system based on simple longitudinal measurements can reliably and robustly predict psychiatric hospitalisation. …”
Get full text

Prognostic prediction for inflammatory breast cancer patients using random survival forest modeling by Yiwei Jia, Chaofan Li, Cong Feng, Shiyu Sun, Yifan Cai, Peizhuo Yao, Xinyu Wei, Zeyao Feng, Yanbin Liu, Wei Lv, Huizi Wu, Fei Wu, Lu Zhang, Shuqun Zhang, Xingcong Ma

“…Thus, it is necessary to establish a novel predictive model of high accuracy for the prognosis of IBC patients. …”
Get full text

Design of an Early Prediction Model for Parkinson’s Disease Using Machine Learning by K. Velu, N. Jaisankar

“…Consequently, speech can be a crucial modality in the initial phase of Parkinson’s disease prediction. In literature, diverse Machine Learning models are employed for Parkinson’s disease diagnosis utilizing voice analysis. …”
Get full text

Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model by Gahao Chen, Ziwei Yang

Get full text

Interpretable Multimodal Fusion Model for Bridged Histology and Genomics Survival Prediction in Pan‐Cancer by Feng Gao, Junxiang Ding, Baowen Gai, Du Cai, Chuling Hu, Feng‐Ao Wang, Ruikun He, Junwei Liu, Yixue Li, Xiao‐Jian Wu

Subjects: Get full text

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

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

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

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