Using machine learning models to plan HIV services: Emerging opportunities in design, implementation and evaluation by T Dzinamarira, E Mbunge, I Chingombe, D F Cuadros, E Moyo, I Chitungo, G Murewanhema, B Muchemwa, G Rwibasira, O Mugurungi, G Musuka, H Herrera

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Generating eco-friendly ionic liquids with enhanced CO2 solubility using language models by Adroit T.N. Fajar, Guillaume Lambard, Md. Amirul Islam, Bidyut B. Saha, Zakiah D. Nurfajrin, Kevin Septioga

Subjects: “…Generative model…”
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Application of Radiomics in Predicting the Prognosis of Medulloblastoma in Children by Jiashu Chen, Wei Yang, Zesheng Ying, Ping Yang, Yuting Liang, Chen Liang, Baojin Shang, Hong Zhang, Yingjie Cai, Xiaojiao Peng, Hailang Sun, Wenping Ma, Ming Ge

“…Then, the clinical model, radiomics model, and clinical–radiomics model were compared to validate the improvement of radiomics in predicting the prognosis of medulloblastoma. …”
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Urban–rural disparities in fall risk among older Chinese adults: insights from machine learning-based predictive models by LiHan Lin, LiHan Lin, XiaoYang Liu, CaiHua Cai, YiKun Zheng, Delong Li, GuoPeng Hu

“…A total of 87 baseline input variables were considered as candidate features. Predictive models for fall risk over the next 3 years among urban and rural older populations were developed using five machine learning algorithms. …”
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Comparison of the in-hospital mortality risk predictive models among patients with ischemic stroke combined by dysphagia based on interpretable machine learning by TAI Yaoyong, WU Shengyong, LUO Xiao, ZHU Ronghui, HE Qian, WU Cheng

“…The Shapley additive explanation method was used to analyze the interpretability of the black box model and explore the important decision-making factors.ResultsThe NB model in the test set showed better predictive ability compared with other models (AUC=0.85, 95%CI: 0.83‒0.88). …”
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Integration of FEM-based permeation analysis and AI-based predictive models for improved chemical grout permeation assessment in heterogeneous soils by Khin Nyein Chan Kyaw, Kuo Chieh Chao, Shinya Inazumi

Subjects: “…AI-based predictive model…”
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ANALYSIS OF THE DYNAMICS OF AGGREGATIVE TRANSFER FACTORS OF CESIUM-137 TO MUSHROOMS AFTER THE CHERNOBYL ACCIDENT AS A BASIS FOR CONSTRUCTION PREDICTIVE MODELS by K. V. Shilova

“…In the present paper shows the analysis of the available data on levels of concentrations and aggregative transfer factors (TFag) of 137Cs from soil to different species of mushrooms growing in the contaminated areas of the Bryansk region, which is used to improve predictive models for estimation the expected levels and the expected values of TFag and planning of further research.…”
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T-cell receptor structures and predictive models reveal comparable alpha and beta chain structural diversity despite differing genetic complexity by Nele P. Quast, Brennan Abanades, Bora Guloglu, Vijaykumar Karuppiah, Stephen Harper, Matthew I. J. Raybould, Charlotte M. Deane

“…Here, we leverage a large dataset of solved TCR structures from Immunocore to evaluate the current state-of-the-art for TCR structure prediction, and identify which regions of the TCR remain challenging to model. …”
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Physicochemical components, antioxidant activity, and predictive models for quality of soursop tea (Annona muricata L.) during heat pump drying by Vu Ngoc Duc, Diep Duong Thi Ngoc, Nguyen Nhat An, Long Huynh Bao, Pham Binh An

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A comprehensive approach to portfolio optimization based on modern mathematical modeling methods by Shkanov Bulat

“…For asset price forecasting, ARIMA, Chronos Forecasting, GMDH, and LSTM models are employed, which allows various aspects of market dynamics to be taken into account. …”
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Research on E-Commerce Inventory Sales Forecasting Model Based on ARIMA and LSTM Algorithm by Chenyang Wang, Junsheng Wang

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Recent Trends in the Quality Module of Sustainable Water Management Models-A Systematic Review by C. Subashini, Suseela Sellamuthu

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Identification of Risk Factors and Predictive Indicators for Tigecycline‐Associated Hypofibrinogenemia by Xiaohui Liu, Xuefeng Yuan, Long Wen, Xin Tan, Qian Sui, Jiheng Liu

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Methods and Algorithms for Predictive Analytics of Time Series in Energy Consumption by Aleksandr Karmanov

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The usefulness of selected sequences of magnetic resonance imaging in a diagnostic model for Crohn’s disease by Barbara Tomicka-Szymanska, Mariusz Kaszubowski, Pawel Winklewski, Joanna Pienkowska, Joanna Wypych, Maria Janiak, Arkadiusz Szarmach, Edyta Szurowska

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The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer by Zheng Dou, Jiaxi Lin, Chenghao Lu, Xiaoting Ma, Ruoxu Zhang, Jinzhou Zhu, Songbing Qin, Chao Xu, Jinli Li

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Do We Need to Add the Type of Treatment Planning System, Dose Calculation Grid Size, and CT Density Curve to Predictive Models? by Reza Reiazi, Surendra Prajapati, Leonardo Che Fru, Dongyeon Lee, Mohammad Salehpour

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Bending fatigue life prediction of honeycomb sandwich structures by DONG Fan, MA Weijie, JI Haoran, LI Yazhi, ZHOU Chunping

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Predicting the outcomes of a single endoscopic correction of vesicoureteral reflux using a dextranomer/hyaluronic acid copolymer: selection of the optimal predictive model by V. I. Dubrov, V. V. Sizonov, I. M. Kagantsov, K. N. Negmatova, S. G. Bondarenko

“…To estimate the accuracy of logistic prognostic models and artificial neural network for prediction a single endoscopic injection DxHA in VUR.Materials and methods. …”
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Development and external validation of a nomogram prediction model based on quantitative coronary angiography for predicting ischemic lesions: a multi-centre study by Shuai Yang, Shuai Yang, Shuang Leng, Shuang Leng, Zhouchi Wang, Jiang Ming Fam, Jiang Ming Fam, Adrian Fatt Hoe Low, Adrian Fatt Hoe Low, Ru-San Tan, Ru-San Tan, Ping Chai, Ping Chai, Lynette Teo, Lynette Teo, Chee Yang Chin, Chee Yang Chin, John C. Allen, Mark Yan-Yee Chan, Mark Yan-Yee Chan, Khung Keong Yeo, Khung Keong Yeo, Aaron Sung Lung Wong, Aaron Sung Lung Wong, Soo Teik Lim, Soo Teik Lim, Qinghua Wu, Liang Zhong, Liang Zhong, Liang Zhong

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