Ultrasound characteristics comparison and development of a predictive nomogram for intraductal papilloma and ductal carcinoma in situ: a retrospective cohort study by Liyang Su, Qiaojie Xie, Aling Yi, Qingquan Zhang, Jinzhen Chen

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Development and Validation of a Machine Learning Algorithm for Predicting Diabetes Retinopathy in Patients With Type 2 Diabetes: Algorithm Development Study by Sunyoung Kim, Jaeyu Park, Yejun Son, Hojae Lee, Selin Woo, Myeongcheol Lee, Hayeon Lee, Hyunji Sang, Dong Keon Yon, Sang Youl Rhee

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Exploiting historical agronomic data to develop genomic prediction strategies for early clonal selection in the Louisiana sugarcane variety development program by Dipendra Shahi, James Todd, Kenneth Gravois, Anna Hale, Brayden Blanchard, Collins Kimbeng, Michael Pontif, Niranjan Baisakh

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PD-1 and LAG-3 were optimal combination of immune checkpoints for predicting poor clinical outcomes of patients with ovarian cancer by Yifan Wu, Cunte Chen, Yingwen Cui, Ruoyao Zou, Yaoxiang Yang, Fengjie Sun, Yanzi Du, Peipei Wang

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MultiScaleFusion-Net and ResRNN-Net: Proposed Deep Learning Architectures for Accurate and Interpretable Pregnancy Risk Prediction by Amna Asad, Madiha Sarwar, Muhammad Aslam, Edore Akpokodje, Syeda Fizzah Jilani

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Comparison of artificial neural network models of categorized daily electric load by Vildan Evren, İlker Ali Ozkan

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AN EFFICIENT SPEECH GENERATIVE MODEL BASED ON DETERMINISTIC/STOCHASTIC SEPARATION OF SPECTRAL ENVELOPES by M. Taha, E. S. Azarov, D. S. Likhachov, A. A. Petrovsky

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M5 Soft Computing Techniques for Assessment of Soil Liquefaction by Abu Sayed, Md Rahman

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Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring by Ali Zaki Mohammed Nafa, Adel A. Obed, Ahmed J. Abid, Salam J. Yaqoob, Mohit Bajaj, Mohammad Shabaz

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AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study by Tai-Han Lin, Hsing-Yi Chung, Ming-Jr Jian, Chih-Kai Chang, Hung-Hsin Lin, Chiung-Tzu Yen, Sheng-Hui Tang, Pin-Ching Pan, Cherng-Lih Perng, Feng-Yee Chang, Chien-Wen Chen, Hung-Sheng Shang

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Low responsiveness of machine learning models to critical or deteriorating health conditions by Tanmoy Sarkar Pias, Sharmin Afrose, Moon Das Tuli, Ipsita Hamid Trisha, Xinwei Deng, Charles B. Nemeroff, Danfeng Daphne Yao

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Quantifying intratumoral heterogeneity within sub-regions to predict high-grade patterns in clinical stage I solid lung adenocarcinoma by Zhichao Zuo, Jinqiu Deng, Wu Ge, Yinjun Zhou, Haibo Liu, Wei Zhang, Ying Zeng

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The predictive value of renal vascular resistance index and serum biomarkers for sepsis-associated acute kidney injury: a retrospective study by Daofeng Huang, Zhaobin Yang, Luzhen Qiu, Jinzhan Lin, Xiaomei Cheng

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Application of machine learning algorithms for predicting the life-long physiological effects of zinc oxide Micro/Nano particles on Carum copticum by Maryam Mazaheri-Tirani, Soleyman Dayani, Majid Iranpour Mobarakeh

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Integrated analysis of single-cell and bulk transcriptomic data reveals altered cellular composition and predictive cell types in ectopic endometriosis by Meihong Chen, Meihong Chen, Liqun Wang, Yuanting Chen, Ting Wang, Guanqun Jiang, Qi Chen, Qi Chen

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Predictive value of ferritin heavy chains in the development of coronary artery calcification in patients on maintenance hemodialysis: a prospective cohort study by Sipei Chen, Yu Tang, Yangmei Pu, Xiaoqiang Xia, Yi Li, Yang Zou

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Development and validation of a novel glucolipid metabolism-related nomogram to enhance the predictive performance for osteoporosis complications in prediabetic and diabetic patien... by Junhong Li, Cong Ma, Xinran Wang, Jianwen Li, Ping Liu, Meipeng Zhu

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Analytical Equations for the Prediction of the Failure Mode of Reinforced Concrete Beam–Column Joints Based on Interpretable Machine Learning and SHAP Values by Ioannis Karampinis, Martha Karabini, Theodoros Rousakis, Lazaros Iliadis, Athanasios Karabinis

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Development and validation of a machine learning-based nomogram for survival prediction of patients with hilar cholangiocarcinoma after curative-intent resection by Yubo Ma, Qi Li, Zhenqi Tang, Kangpeng Li, Chen Chen, Jianjun Lei, Dong Zhang, Zhimin Geng

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Prediction of performance and emission features of diesel engine using alumina nanoparticles with neem oil biodiesel based on advanced ML algorithms by M. S. Aswathanrayan, N. Santhosh, Srikanth Holalu Venkataramana, Kurugundla Sunil Kumar, Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Sameer Algburi, Osamah J. Al-sareji, A. Bhowmik

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