Predicting postoperative motor outcomes in the surgical management of Rolandic focal cortical dysplasia: the role of glucose metabolism by Weiyuan Luo, Bowen Yang, Xiaobin Zhao, Baotian Zhao, Chao Zhang, Xiu Wang, Jiajie Mo, Xiangzhi Lu, Zhong Zheng, Xiaoqiu Shao, Jianguo Zhang, Kai Zhang, Wenhan Hu

Get full text

355 Validation of an artificial intelligence Algorithm for predicting diagnosis-related groups in a community health system by Angela Muhanga, King Jason, Xsolis Mueller, Jennifer L. Sanger, Julie M. Bartlett, Brian N. Manz, James W. Spiten, Matthew J. Overgaard, Shauna M. Wang Hanyin

Get full text

Post-surgical fall risk prediction: a machine learning approach for spine and lower extremity procedures by Ya-Huei Chen, Xing-Yu Luo, Chia-Hui Chang, Chen-Tsung Kuo, Sou-Jen Shih, Mei-Yu Chang, Mei-Rong Weng, I-Chieh Chen, Ying-Lin Hsu, Ying-Lin Hsu, Jia-Lang Xu

Get full text

Spatial features of tumor-infiltrating lymphocytes in primary lesions of lung adenocarcinoma predict lymph node metastasis by Huibo Zhang, Ming Luo, Junwei Feng, Juan Tan, Yan Jiang, Dmitrij Frishman, Yang Liu

Get full text

Cluster Analysis of Clinical Remission and Relapse Patterns in Chronic Urticaria: Results from the PREDICT-CU Study by Maria-Magdalena Balp, Irina Pivneva, Andrii Danyliv, Kathleen Chen, Tom Cornwall, Jimmy Royer, James Signorovitch, Dhaval Patil, Ravneet K. Kohli, Thomas Severin, Weily Soong, Alexander M. Marsland

Get full text

A Bayesian Network Approach to Predicting Severity Status in Nuclear Reactor Accidents with Resilience to Missing Data by Kaiyu Li, Ling Chen, Xinxin Cai, Cai Xu, Yuncheng Lu, Shengfeng Luo, Wenlin Wang, Lizhi Jiang, Guohua Wu

Get full text

Fibroblast growth factor receptor risk signature predicts patient prognosis and immunotherapy resistance in colorectal cancer by Xiaofang Li, Zhiling Pan, Zhiling Pan, Tiankuo Luan, Qian Xiao, Liuying Li, Qianxue Wu, Guoqing Yao, Xiang Zhang, Daqiang Song

Get full text

Metabolomic-genomic prediction realizes small increases in accuracy of estimated breeding values for daily gain in pigs by Xiangyu Guo, Pernille Sarup, Anders Bay Nord, Mark Henryon, Tage Ostersen, Ole F. Christensen

Get full text

A Deep–Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data by Dailiang Peng, Enhui Cheng, Xuxiang Feng, Jinkang Hu, Zihang Lou, Hongchi Zhang, Bin Zhao, Yulong Lv, Hao Peng, Bing Zhang

Get full text

Improving Surgical Site Infection Prediction Using Machine Learning: Addressing Challenges of Highly Imbalanced Data by Salha Al-Ahmari, Farrukh Nadeem

Get full text

Predicting clinical outcome in posterior circulation large-vessel occlusion patients with endovascular recanalisation: the GNC score by Wei Li, Jing Qiu, Thanh Nguyen, Hui-Sheng Chen, Jia-Qi Wang, Si-Qi Qiu

Get full text

Predictive Value of Neutrophil‐to‐Lymphocyte Ratio for Immune Checkpoint Inhibitor‐Related Myocarditis Among Patients Treated for Non‐Small‐Cell Lung Cancer by Jian Xue, Chuanbin Liu, Jun Shao, Li Wang, Yating Han, Jing Wang, Jinda Wang

Get full text

NK cell exhaustion in Wilson’s disease revealed by single-cell RNA sequencing predicts the prognosis of cholecystitis by Yong Jin, Jiayu Xing, Chenyu Dai, Lei Jin, Wanying Zhang, Qianqian Tao, Mei Hou, Ziyi Li, Wen Yang, Qiyu Feng, Hongyang Wang, Qingsheng Yu

Get full text

Mixture of Experts for Depression and Anxiety Disorder Prediction From Textual and Non-Textual Social Media Data by Wesley Ramos Dos Santos, Ivandre Paraboni, Elton Hiroshi Matsushima, Camila Azevedo Da Silva, Emily Samara De Moura Meira, Joao Victor Rodrigues Ferreira Guimaraes, Julia Da Silva Lins, Laura Enham De Azeredo, Luiz Guilherme Cerqueira Nunes, Vittoria Thiengo Silveira Moreira Rego

Get full text

Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis by Doreen Phiri, Frank Makowa, Vivi Leona Amelia, Yohane Vincent Abero Phiri, Lindelwa Portia Dlamini, Min-Huey Chung

“…ConclusionsSocial media textual content can be a useful tool for predicting depression. Demographics, language, social media activity, and temporal features should be considered to maximize the accuracy of depression prediction models. …”
Get full text

Prediction and analysis of flow behavior during gas kicks considering wellbore–formation coupling and gas solubility by Yu Su, Yu Su, Huiyun Ma, Lianbin Xia, Chi Peng, Jianhua Guo, Xinyu Shen, Jianhong Fu, Yijia Tang

Get full text

Topographic Position Index Predicts Within-Field Yield Variation in a Dryland Cereal Production System by Jacob A. Macdonald, David M. Barnard, Kyle R. Mankin, Grace L. Miner, Robert H. Erskine, David J. Poss, Sushant Mehan, Adam L. Mahood, Maysoon M. Mikha

Get full text

A nomogram to predict the risk of relapse in patients with minimal change disease: a retrospective cohort study by Lefeng Wang, Qinfan Yao, Ying Zhang, Xuan Zhang, Mengjie Hu, Jianpeng Chen, Xiayu Li, Jianghua Chen, Heng Li

Get full text

Comprehensive risk factor-based nomogram for predicting one-year mortality in patients with sepsis-associated encephalopathy by Guangyong Jin, Menglu Zhou, Jiayi Chen, Buqing Ma, Jianrong Wang, Rui Ye, Chunxiao Fang, Wei Hu, Yanan Dai

Get full text

Prediction of presurgical metabolic syndrome for gastric cancer‐specific mortality is more evident in smokers: The FIESTA study by Xinran Zhang, Dan Hu, Xiangling Deng, Jinxiu Lin, Xiongwei Zheng, Feng Peng, Fanqiang Meng, Wenquan Niu

Get full text