Prediction of Blood Donations Using Data Mining Based on the Decision Tree Algorithms KNN, SVM, and MLP by Arash Fahmihassan, Mohammadreza Moghari, Omidmahdi Ebadati

“…In this regard, we use several classification algorithms in supervised learning for the prediction, including decision tree algorithms, KNN, SVM and MLP, these algorithms are implemented to predict and results of accuracy are presented.…”
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Early Prediction of Nonresponders to Treatment with Interferon Alpha-2B and Ribavirin in Patients with Chronic Hepatitis C by Louis WC Liu, George Tomlinson, Tony Mazzulli, Alison Murray, Jenny Heathcote

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Electrocardiography-based artificial intelligence predicts the upcoming future of heart failure with mildly reduced ejection fraction by Dae-Young Kim, Sang-Won Lee, Dong-Ho Lee, Sang-Chul Lee, Sang-Chul Lee, Ji-Hun Jang, Sung-Hee Shin, Dae-Hyeok Kim, Dae-Hyeok Kim, Wonik Choi, Wonik Choi, Yong-Soo Baek, Yong-Soo Baek, Yong-Soo Baek

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Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity by Perry J. Pickhardt, Michael W. Kattan, Matthew H. Lee, B. Dustin Pooler, Ayis Pyrros, Daniel Liu, Ryan Zea, Ronald M. Summers, John W. Garrett

“…The final weighted CT biomarker selection was based on the index of prediction accuracy. The CT model significantly outperforms standard demographic data for predicting longevity (IPA = 29.2 vs. 21.7; 10-year AUC = 0.880 vs. 0.779; p < 0.001). …”
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The Validity of Quantifying Pulmonary Contusion Extent by Lung Ultrasound Score for Predicting ARDS in Blunt Thoracic Trauma by Mohamed Soliman Sayed, Kareem Abdelhamid Elmeslmany, Ahmed Samir Elsawy, Nashwa Abed Mohamed

“…The aim of this prospective study was to determine the value of PC extent measurements using lung ultrasound in predicting high risk patients for ARDS development. …”
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Alpha-Fetoprotein as a Predictive Marker for Patients with Hepatitis B-Related Acute-on-Chronic Liver Failure by Xiaoping Wang, Caifei Shen, Jianjiang Yang, Xianjun Yang, Sen Qin, Haijun Zeng, Xiaoling Wu, Shanhong Tang, Weizheng Zeng

“…AFP could be a useful marker to predict outcomes of acute-on-chronic liver failure.…”
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Residual Life Prediction of SA-CNN-BILSTM Aero-Engine Based on a Multichannel Hybrid Network by Yonghao He, Changjun Wen, Wei Xu

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Integrating E-cadherin expression levels with TNM staging for enhanced prognostic prediction in colorectal cancer patients by Jae-Ghi Lee, Ilkyu Park, Hannah Lee, Seungyoon Nam, Jisup Kim, Won-Suk Lee, Myunghee Kang, Jung Ho Kim

“…The goal was to establish a more accurate prognostic prediction for colorectal cancer patients by analyzing E-cadherin expression levels alongside TNM staging. …”
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Assessment of RELAP/SCDAPSIM/MOD3.4 Prediction Capability with Severe Fuel Damage Scoping Test by Noppawan Rattanadecho, Somboon Rassame, Kampanart Silva, Chris Allison, Judith Hohorst

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The Role of IL-6 and TNF-Alpha Biomarkers in Predicting Disability Outcomes in Acute Ischemic Stroke Patients by Ciprian-Ionuț Băcilă, Maria-Gabriela Vlădoiu, Mădălina Văleanu, Doru-Florian-Cornel Moga, Pia-Manuela Pumnea

“…Conclusions: IL-6 and TNF-alpha are promising biomarkers for predicting stroke severity and functional recovery in acute ischemic stroke. …”
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Comparison of three- and six-component scoring models for predicting the futility in cancer resuscitation: a retrospective study by A. Pramono, N. Maryani

“…CONCLUSIONS: The accuracy of the FORREST three variables is the same as the six-variable FORREST score for predicting futile actions in cancer patients undergoing resuscitation. …”
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High-Precision prediction of curling trajectory multivariate time series using the novel CasLSTM approach by Yanan Guo, Jing Jin, Hongyang Zhao, Yu Jiang, Dandan Li, Yi Shen

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Effects of Soil Properties on Pb, Cd, and Cu Contents in Tobacco Leaves of Longyan, China, and Their Prediction Models by Wei Xi, YuanYe Ping, HaiYang Cai, Qian Tan, Chaoyang Liu, Junru Shen, YaWen Zhang

“…The prediction models above provide an effective predictive tool for assessing heavy metal risk in tobacco leaves using soil properties in the study area.…”
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Multivariate Statistics and Supervised Learning for Predictive Detection of Unintentional Islanding in Grid-Tied Solar PV Systems by Shashank Vyas, Rajesh Kumar, Rajesh Kavasseri

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Predicting Tipping Points in a Family of PWL Systems: Detecting Multistability via Linear Operators Properties by Joaquin Alvarez-gallegos, Sishu Shankar Muni, Hector Gilardi-velázquez, Rıcardo Cuesta-garcía, J. L. Echenausía-monroy

“…In this paper, we present a simple and novel method for predicting the occurrence of tipping points in a family of Piece-Wise Linear systems (PWL) that exhibit a transition from monostability to multistability with the variation of a single parameter, without the need to compute time series, i.e., without solving the differential equations of the system. …”
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A novel ubiquitination-related gene signature for overall survival prediction in patients with liver hepatocellular carcinoma by Xiuyun Chen, SenLin Li, Lixue Cao, Shaoxian Chen, Qiuxiong Lin, Shilong Zhong

“…Receiver operating characteristic curve analysis confirmed the predictive capacity of the signature. Functional analysis revealed enrichment of immune-related pathways and differences in immune status between the two risk groups. …”
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Coping with Complexity When Predicting Surface Roughness in Milling Processes: Hybrid Incremental Model with Optimal Parametrization by Gerardo Beruvides, Fernando Castaño, Rodolfo E. Haber, Ramón Quiza, Alberto Villalonga

“…The surface roughness prediction using an online efficient computational method is a difficult task due to the complexity of machining processes. …”
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Hydrogen Leakage Location Prediction in a Fuel Cell System of Skid-Mounted Hydrogen Refueling Stations by Leiqi Zhang, Qiliang Wu, Min Liu, Hao Chen, Dianji Wang, Xuefang Li, Qingxin Ba

“…The results show that the algorithm can predict leakage locations not included in the training set. …”
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Alexithymia and Fear of Pain Independently Predict Heat Pain Intensity Ratings among Undergraduate University Students by Joel Katz, Andrea L Martin, M Gabrielle Pagé, Vincent Calleri

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Initialized Decadal Predictions by LASG/IAP Climate System Model FGOALS-s2: Evaluations of Strengths and Weaknesses by Bo Wu, Xiaolong Chen, Fengfei Song, Yong Sun, Tianjun Zhou

“…Decadal prediction experiments are conducted by using the coupled global climate model FGOALS-s2, following the CMIP 5 protocol. …”
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