Prediction of tuberculosis treatment outcomes using biochemical makers with machine learning by Zheyue Wang, Zhenpeng Guo, Weijia Wang, Qiang Zhang, Suya Song, Yuan Xue, Zhixin Zhang, Jianming Wang

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Predicting noncoding RNA and disease associations using multigraph contrastive learning by Si-Lin Sun, Yue-Yi Jiang, Jun-Ping Yang, Yu-Han Xiu, Anas Bilal, Hai-Xia Long

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GDF-15 predicts cardiovascular events in acute chest pain patients. by Stergios Tzikas, Lars Palapies, Constantinos Bakogiannis, Tanja Zeller, Christoph Sinning, Stephan Baldus, Christoph Bickel, Vassilios Vassilikos, Karl J Lackner, Andreas Zeiher, Thomas Münzel, Stefan Blankenberg, Till Keller

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Sensor Infused Quantum CNN for Diabetes Disease Prediction and Diet Recommendation by Jameer Kotwal, Pravin Futane, Gurunath Chavan, Archana Chaudhari, Jithina Jose, Vajid Khan

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Use of biomarkers of metals to improve prediction performance of cardiovascular disease mortality by Samuel D. Fansler, Kelly M. Bakulski, Sung Kyun Park, Erika Walker, Xin Wang

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Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites by Jian Zhang, Jingjing Qian, Pei Wang, Xuan Liu, Fuhao Zhang, Haiting Chai, Quan Zou

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Predictive scoring systems for mortality in heart transplant patients with liver cirrhosis by Hyo-Hyun Kim, Young-Nam Youn

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Predicting prognosis and immunotherapy response of ferroptosis-related genes in colorectal cancer by Hongyun Wei, Keyu Ren, Yanchun Jin, Yao Wen, Bin Cao, Yu Gan, Ying Shi, Zhihong Wu, Linlin Chen

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FEATURE-BASED IMPLEMENTATION OF MACHINE LEARNING ALGORITHMS FOR CARDIOVASCULAR DISEASE PREDICTION by H. Singh, R. Tripathy, P. Kumar Sarangi, U. Giri, S. Kumar Mohapatra, N. Rameshbhai Amin

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EEG Signal Prediction for Motor Imagery Classification in Brain–Computer Interfaces by Óscar Wladimir Gómez-Morales, Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, Cesar German Castellanos-Dominguez

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Characterization and Concentration Prediction of Dust Pollution in Open-Pit Coal Mines by Guilin Wang, Wei Zhou, Zhiming Wang, Xiang Lu, Yirong Zhang

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Improving drug–target affinity prediction by adaptive self-supervised learning by Qing Ye, Yaxin Sun

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Machine Learning-Based Prediction of Feed Conversion Ratio: A Feasibility Study of Using Short-Term FCR Data for Long-Term Feed Conversion Ratio (FCR) Prediction by Xidi Yang, Liangyu Zhu, Wenyu Jiang, Yiting Yang, Mailin Gan, Linyuan Shen, Li Zhu

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CT Radiomics Nomogram Prediction for Tumor Deposits and Prognosis in Colorectal Cancer by Manman LI, Yigang FU, Yong XIAO, Wang CHEN, Feng FENG, Guodong XU

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Using topological data analysis and machine learning to predict customer churn by Marcel Sagming, Reolyn Heymann, Maria Vivien Visaya

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Comparative evaluation of lethal outcome prediction methods in severely burned patients by O. O. Zavorotniy, E. V. Zinoviev, V. G. Volkov, D. V. Kostyakov, D. H. Halipaeva, A. V. Semiglazov, T. Z. Gogohiya

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Artificial intelligence for surgical outcome prediction in glaucoma: a systematic review by Zeena Kailani, Lauren Kim, Joshua Bierbrier, Michael Balas, David J. Mathew, David J. Mathew

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Improving multi-trait genomic prediction by incorporating local genetic correlations by Jun Teng, Tingting Zhai, Xinyi Zhang, Changheng Zhao, Wenwen Wang, Hui Tang, Chao Ning, Yingli Shang, Dan Wang, Qin Zhang

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Predicting Phenoconversion in Isolated RBD: Machine Learning and Explainable AI Approach by Yong-Woo Shin, Jung-Ick Byun, Jun-Sang Sunwoo, Chae-Seo Rhee, Jung-Hwan Shin, Han-Joon Kim, Ki-Young Jung

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B1 corrected T1 mapping in the differentiation and prediction of breast cancer by Yijie Chen, Jichun Guo, Feifei Shan, Gehua Tong, Zhihua Meng, Zhensong Chen, Junqi Sun

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