Development and validation of prediction models for diabetic retinopathy in type 2 diabetes patients by Shadi Naderyan Feˈli, Mohammad Hassan Emamian, Mehdi Yaseri, Hamid Riazi-Esfahani, Hassan Hashemi, Akbar Fotouhi, Kamran Yazdani

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Prediction Model of Material Properties Based on Feature Fusion and Convolutional Neural Network by SHI Jingchen, LIU Feining, WANG Wenjie, ZHAO Rui

“…Aiming at the problem that most machine learning models need a lot of prior knowledge and manual selection of feature vectors in the prediction of material properties, a convolutional neural network model OPCNN (Orbital of Electron and Periodic table CNN) is established by feature fusion based on two descriptors, electronic orbit matrix and periodic table method. …”
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Stock Predictions Based on Time Series Models - The Case of Pepsi Research Background by Liu Leyi, Wang Wenhao, Zhao Yijing

“…A statistical model widely used in time series analysis and prediction is Auto Regressive Integrated Moving Average (ARIMA) model. …”
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Time series models for prediction of leptospirosis in different climate zones in Sri Lanka. by Janith Warnasekara, Suneth Agampodi, Rupika Abeynayake

“…These predictive models could be effectively used in public health planning purposes.…”
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A prognostic prediction model for advanced gastric cancer based on Ki67 by NIU Linjun*，LI Xinzhong，LYU Yongjian

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Fractal-Based Thermal Conductivity Prediction Modeling for Closed Mesoporous Polymer Gels by Haiyan Yu, Mingdong Li, Ning Guo, Anqi Chen, Haochun Zhang, Mu Du

“…The conductive thermal conductivity component was formulated based on a diagonal cross fractal structure, while the radiative component was derived considering microscale radiative effects. Model predictions exhibit strong agreement with experimental results from various mesoporous polymer gels, achieving a prediction error of less than 11.2%. …”
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Optimizing diagnosis of pediatric Streptococcus pyogenes infections: A clinical prediction model by F.C. Ihenetu, C.I. Okoro, M.M. Ozoude, K.E. Dunga, C. Nwaoha

“…This study aimed to develop and validate a Clinical Prediction Rule (CPR) for predicting the presence of S. pyogenes in throat swabs from children under 12. …”
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Comparative Analysis of Diabetes Prediction Models Using the Pima Indian Diabetes Database by Zhao Yize

“…This study provides an in-depth review and comparison of diabetes prediction models using the Pima Indian Diabetes database. …”
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Comparative Analysis of Machine Learning Models for CO Emission Prediction in Engine Performance by Beytullah Eren, İdris Cesur

“…This study presents a comparative analysis of machine learning models for predicting carbon monoxide (CO) emissions in automotive engines. …”
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Clinical characteristics, prognosis, and predictive modeling in class IV ± V lupus nephritis by Anjing Wang, Anjing Wang, Yunlong Qin, Yunlong Qin, Yan Xing, Zixian Yu, Liuyifei Huang, Jinguo Yuan, Yueqing Hui, Mei Han, Guoshuang Xu, Jin Zhao, Shiren Sun

“…The RSF model we established for class IV ± V LN patients, incorporating seven risk factors, exhibits superior survival prediction and provides more precise prognostic stratification.…”
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Establishment and internal validation of a model to predict the efficacy of Adalimumab in Crohn’s disease by Fang Wang, He Zhou, Yujie Zhang, Yu Da, Tiantian Zhang, Yanting Shi, Tong Wu, Jie Liang

“…Aims: This study aimed to develop a model for predicting clinical remission probability for Crohn’s disease patients with Adalimumab at 12 weeks. …”
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Improving parking availability prediction in smart cities with IoT and ensemble-based model by Stéphane Cédric Koumetio Tekouabou, El Arbi Abdellaoui Alaoui, Walid Cherif, Hassan Silkan

“…We propose in this paper a new system that integrates the IoT and a predictive model based on ensemble methods to optimize the prediction of the availability of parking spaces in smart parking. …”
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Student Major Subject Prediction Model for Real-Application Using Neural Network by Aminul Islam, Jesmeen Mohd Zebaral Hoque, Md. Jakir Hossen, Halizah Basiron, Chy. Mohammed Tawsif Khan

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Predictive Analysis of Carbon Emissions in China’s Construction Industry Based on GIOWA Model by Tianyue Hu, Zhiheng Bao, Baiyang Zhang, Xinnan Gao

“…A case study is conducted based on historical data (1997–2021) from the construction industry, and the research findings indicate that: (1) the GIOWA combination forecasting model effectively integrates the algorithmic strengths of SVR and LSTM, achieving an average prediction accuracy of 98.16%, which signifies a remarkable improvement over both individual models; (2) the carbon emissions in China’s construction industry will maintain a downward trend during the period 2022–2030, although the decline rate is expected to decrease gradually; (3) by 2030, a reduction of nearly 35% in carbon emissions is anticipated relative to the historical peak. …”
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Comparison of Weight-Gain-Based Prediction Models for Retinopathy of Prematurity in an Australian Population by Alexander Bremner, Li Yen Chan, Courtney Jones, Shaheen P. Shah

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Flow Field Analysis and Development of a Prediction Model Based on Deep Learning by Yingjie Yu, Xiufeng Zhang, Lucai Wang, Rui Tian, Xiaobin Qian, Dongdong Guo, Yanwei Liu

“…The proposed model was validated by comparing its predictions with those predicted by the MIKE21 flow model of the ocean area within proximity to Dalian Port (which used a commercial numerical model), as well as those predicted by other deep learning algorithms. …”
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Multiband Prediction Model for Financial Time Series with Multivariate Empirical Mode Decomposition by Md. Rabiul Islam, Md. Rashed-Al-Mahfuz, Shamim Ahmad, Md. Khademul Islam Molla

“…Autoregressive moving average (ARMA) model is used in prediction of individual subband of any time series data. …”
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Machine Learning Prediction Model of Waitlist Outcomes in Patients with Primary Sclerosing Cholangitis by Xun Zhao, MD, Maryam Naghibzadeh, MD, Yingji Sun, MSc, Arya Rahmani, BSc, Leslie Lilly, MD, Nazia Selzner, MD, PhD, Cynthia Tsien, MD, MPH, Elmar Jaeckel, MD, Mary Pressley Vyas, Rahul Krishnan, PhD, Gideon Hirschfield, MD, PhD, MB, Mamatha Bhat, MD, PhD

“…This disparity may stem from the inaccuracy of the model for end-stage liver disease (MELD) in predicting waitlist mortality or dropout for PSC. …”
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GRU-LSTM model based on the SSA for short-term traffic flow prediction by Changxi Ma, Xiaoyu Huang, Yongpeng Zhao, Tao Wang, Bo Du

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Modeling signaling‐dependent pluripotency with Boolean logic to predict cell fate transitions by Ayako Yachie‐Kinoshita, Kento Onishi, Joel Ostblom, Matthew A Langley, Eszter Posfai, Janet Rossant, Peter W Zandstra

“…Extending the model to PSC differentiation, we predicted a combination of signaling activators and inhibitors that efficiently and robustly generated a Cdx2+Oct4− cells from naïve mESCs. …”
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