Assessment of Albumin-Incorporating Scores at Hepatocellular Carcinoma Diagnosis Using Machine Learning Techniques: An Evaluation of Prognostic Relevance by Miguel Suárez, Pablo Martínez-Blanco, Sergio Gil-Rojas, Ana M. Torres, Miguel Torralba-González, Jorge Mateo

Subjects: Get full text

Predictive Analyses of Traffic Level in the City of Barcelona: From ARIMA to eXtreme Gradient Boosting by Eloi Garcia, Laura Calvet, Patricia Carracedo, Carles Serrat, Pau Miró, Mohammad Peyman

Subjects: Get full text

Research on nonstroke dementia screening and cognitive function prediction model for older people based on brain atrophy characteristics by Wei Zhang, Xiaoran Zheng, Renren Li, Meng Liu, Weixin Xiao, Lihe Huang, Feiyang Xu, Ningxin Dong, Yunxia Li

Subjects: Get full text

XGB4mcPred: Identification of DNA N4-Methylcytosine Sites in Multiple Species Based on an eXtreme Gradient Boosting Algorithm and DNA Sequence Information by Xiao Wang, Xi Lin, Rong Wang, Kai-Qi Fan, Li-Jun Han, Zhao-Yuan Ding

Subjects: Get full text

A novel approach for detecting advanced persistent threats by Jaafer Al-Saraireh, Ala' Masarweh

Subjects: Get full text

Prediction of poststroke independent walking using machine learning: a retrospective study by Zhiqing Tang, Wenlong Su, Tianhao Liu, Haitao Lu, Ying Liu, Hui Li, Kaiyue Han, Md. Moneruzzaman, Junzi Long, Xingxing Liao, Xiaonian Zhang, Lei Shan, Hao Zhang

Subjects: Get full text

An application of a supervised machine learning model for predicting life expectancy by Brian Aholi Lipesa, Elphas Okango, Bernard Oguna Omolo, Evans Otieno Omondi

Subjects: Get full text

Using eXtreme Gradient BOOSTing to Predict Changes in Tropical Cyclone Intensity over the Western North Pacific by Qingwen Jin, Xiangtao Fan, Jian Liu, Zhuxin Xue, Hongdeng Jian

Subjects: “…eXtreme Gradient BOOSTing (XGBOOST)…”
Get full text

Machine learning assisted design of high-entropy alloys with ultra-high microhardness and unexpected low density by Shunli Zhao, Bin Jiang, Kaikai Song, Xiaoming Liu, Wenyu Wang, Dekun Si, Jilei Zhang, Xiangyan Chen, Changshan Zhou, Pingping Liu, Dong Chen, Zequn Zhang, Parthiban Ramasamy, Junlei Tang, Wenquan Lv, Konda Gokuldoss Prashanth, Daniel Şopu, Jürgen Eckert

Subjects: Get full text

Predicting Flow Stress Behavior of an AA7075 Alloy Using Machine Learning Methods by Jens Decke, Anna Engelhardt, Lukas Rauch, Sebastian Degener, Seyed Vahid Sajadifar, Emad Scharifi, Kurt Steinhoff, Thomas Niendorf, Bernhard Sick

Subjects: Get full text

Machine learning-based prediction of mild cognitive impairment among individuals with normal cognitive function by Xia Wei Zhu, Si Bo Liu, Chen Hua Ji, Jin Jie Liu, Chao Huang

Subjects: Get full text

IdentPMP: identification of moonlighting proteins in plants using sequence-based learning models by Xinyi Liu, Yueyue Shen, Youhua Zhang, Fei Liu, Zhiyu Ma, Zhenyu Yue, Yi Yue

Subjects: Get full text

Implementation of Improved U-Net and Optimized XGBoost-SVM Classifier for Early Detection of Masses and Microcalcifications in Breast by Malarvizhi Ayyadurai, Nagappan Andiappan

Subjects: Get full text

Predicting miRNA-disease associations using a hybrid feature representation in the heterogeneous network by Minghui Liu, Jingyi Yang, Jiacheng Wang, Lei Deng

Subjects: Get full text

Enhancing predictions of antimicrobial resistance of pathogens by expanding the potential resistance gene repertoire using a pan-genome-based feature selection approach by Ming-Ren Yang, Yu-Wei Wu

Subjects: Get full text

Prediction of hyperuricemia in people taking low-dose aspirin using a machine learning algorithm: a cross-sectional study of the National Health and Nutrition Examination Survey by Bin Zhu, Li Yang, Mingfen Wu, Qiao Wu, Kejia Liu, Yansheng Li, Wei Guo, Wei Guo, Zhigang Zhao

Subjects: Get full text

Decoding Wilson disease: a machine learning approach to predict neurological symptoms by Yulong Yang, Gang-Ao Wang, Shuzhen Fang, Xiang Li, Yufeng Ding, Yuqi Song, Wei He, Zhihong Rao, Ke Diao, Xiaolei Zhu, Wenming Yang, Wenming Yang, Wenming Yang

Subjects: Get full text

A Powerful Prediction Framework of Fracture Parameters for Hydraulic Fracturing Incorporating eXtreme Gradient Boosting and Bayesian Optimization by Zhe Liu, Qun Lei, Dingwei Weng, Lifeng Yang, Xin Wang, Zhen Wang, Meng Fan, Jiulong Wang

Subjects: Get full text

Classification and Prediction of Food Safety Policy Tools in China Based on Machine Learning by Di Sha, Pei Du, Linhai Wu

Subjects: “…eXtreme Gradient Boosting…”
Get full text

Optimizing Kidney Stone Prediction through Urinary Analysis with Improved Binary Particle Swarm Optimization and eXtreme Gradient Boosting by Abdullah Alqahtani, Shtwai Alsubai, Adel Binbusayyis, Mohemmed Sha, Abdu Gumaei, Yu-Dong Zhang

Subjects: Get full text