The use of bivariate spatial modeling of questionnaire and parasitology data to predict the distribution of Schistosoma haematobium in Coastal Kenya. by Hugh J W Sturrock, Rachel L Pullan, Jimmy H Kihara, Charles Mwandawiro, Simon J Brooker

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Digital Assets and the Global Economy: How the Use of Statistical Models Can Help Bitcoin Price Prediction by L. P. Bakumenko, N. S. Vasileva

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Biomarkers associated with the diagnosis and prognosis of Mycoplasma pneumoniae pneumonia in children: a review by Lele Ding, Lele Ding, Yonghong Jiang

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Machine learning unveils hypoxia-immune gene hub for clinical stratification of thyroid-associated ophthalmopathy by Lu Chen, Sha Wang, Jinwei Wang, Bei Xu, Jia Tan, Xiaobo Xia

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Transformer-Based Vehicle-Trajectory Prediction at Urban Low-Speed T-Intersection by Jae Kwan Lee

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Hip Arthroscopy for Femoroacetabular Impingement Syndrome: Preoperative Radiographic Findings and Risk Factors for Reoperation at 3–6 Years Postoperatively by Andrea H. Johnson, Laura A. Stock, Jane C. Brennan, Justin J. Turcotte, Benjamin M. Petre

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Machine learning method based on radiomics help differentiate posterior pituitary tumors from pituitary neuroendocrine tumors and craniopharyngioma by Yukun Liu, Yanpeng Zhou, Chunyao Zhou, Zhenmin Wang, Ziwen Fan, Kai Tang, Siyuan Chen

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Promising clinical tools for specific Alzheimer disease diagnosis from plasma pTau217 and ApoE genotype in a cognitive disorder unit by Lourdes Álvarez-Sánchez, Carmen Peña-Bautista, Laura Ferré-González, Ángel Balaguer, Julián Luis Amengual, Miguel Baquero, Consuelo Cháfer-Pericás

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Population dynamics analysis of the interaction between tacrolimus and voriconazole in renal transplant recipients by Zhi-Hua Sun, Zhi-Hua Sun, Yi-Chang Zhao, Yi-Chang Zhao, Jia-Kai Li, Jia-Kai Li, Fenghua Peng, Feng Yu, Bi-Kui Zhang, Bi-Kui Zhang, Miao Yan, Miao Yan

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Multidisciplinary clinician perceptions on utility of a machine learning tool (ALERT) to predict 6‐month mortality and improve end‐of‐life outcomes for advanced cancer patients... by Nithya Krishnamurthy, Melanie Besculides, Ksenia Gorbenko, Melissa Mazor, Marsha Augustin, Jose Morillo, Marcos Vargas, Cardinale B. Smith

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Development and validation of a novel risk assessment model for accurate prediction of intraoperative hypothermia in adult patients undergoing different types of surgery: insights... by Bingbing Cao, Yongxing Li, Xiangnan Chen, Yong Liu, Yao Li, Haihua Shu, Qiang Wu, Fengtao Ji

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HBX Multi‐Mutations Combined With Traditional Screening Indicators to Establish a Nomogram Contributes to Precisely Stratify the High‐Risk Population of Hepatocellular Carcinoma... by Chao‐Jun Zhang, Xiao‐Mei Chen, Chang Yan, Rui‐Bo Lv, Sanchun An, Yun‐Xin Gao, Tian‐Ren Huang, Wei Deng

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Enhancing Pollen Prediction in Beijing, a Chinese Megacity: Leveraging Ensemble Learning Models for Greater Accuracy by Wenxi Ruan, Ziming Li, Zhaobin Sun, Xingqin An, Yuxin Zhao, Shuwen Zhang, Yinglin Liang, Yaqin Bu, Jingyi Xin, Xiaoyi Hang

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The role of RAB GTPases in predicting prognosis and therapy response in pancreatic cancer by Jiayi Wang, Jiayao Ma, Shiying Lei, Yulei Zhai, Yangjie Liao, Chongrong Hu, Jingbo Li

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Predicting financial distress in emerging markets: the case of Indian small enterprises by Rampilla Mahesh, Anamika Kumari, Debabrata Sharma, Sreelakshmi N, Ranjana Ramesh

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Multimodal fusion model for prognostic prediction and radiotherapy response assessment in head and neck squamous cell carcinoma by Ruxian Tian, Feng Hou, Haicheng Zhang, Guohua Yu, Ping Yang, Jiaxuan Li, Ting Yuan, Xi Chen, Ying Chen, Yan Hao, Yisong Yao, Hongfei Zhao, Pengyi Yu, Han Fang, Liling Song, Anning Li, Zhonglu Liu, Huaiqing Lv, Dexin Yu, Hongxia Cheng, Ning Mao, Xicheng Song

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Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning by Kuat Abzaliyev, Madina Suleimenova, Siming Chen, Madina Mansurova, Symbat Abzaliyeva, Ainur Manapova, Almagul Kurmanova, Akbota Bugibayeva, Diana Sundetova, Raushan Bitemirova, Nazipa Baizhigitova, Merey Abdykassymova, Ulzhas Sagalbayeva

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A machine learning model to predict neurological deterioration after mild traumatic brain injury in older adults by Daisu Abe, Motoki Inaji, Takeshi Hase, Eiichi Suehiro, Naoto Shiomi, Hiroshi Yatsushige, Shin Hirota, Shu Hasegawa, Hiroshi Karibe, Akihiro Miyata, Kenya Kawakita, Kohei Haji, Hideo Aihara, Shoji Yokobori, Takeshi Maeda, Takahiro Onuki, Kotaro Oshio, Nobukazu Komoribayashi, Michiyasu Suzuki, Taketoshi Maehara

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Digital generation in the context of predicting the professional future by E. F. Zeer, N. G. Tserkovnikova, V. S. Tretyakova

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Comparing large scale and selected feature learning for community acquired pneumonia prognosis prediction using clinical data: a stacked ensemble approach by Ji Hyun Lee, Hyun Woo Lee, Hyo Jin Lee, Tae Yun Park, Kwang Nam Jin, Dong Hyun Kim, Borim Ryu

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