Analysis of influencing factors and construct a prediction model for postoperative intestinal obstruction of colorectal cancer by Wang Zhen, Chen Linyun, Wang Lin, He Hongqin, Mou Kaidong, Liu Feng

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Development of an explainable prediction model for portal vein system thrombosis post-splenectomy in patients with cirrhosis by Caixia Dong, Guodong Li, Rui Zhou, Dou Qu, Duwei Dai, Junxia Zhao, Lingbo An, Xiaojie Song, Jiazhen Zhu, Zong Fang Li

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Clinical characteristics of bronchopulmonary dysplasia and the risk of sepsis onset prediction via machine learning models by Yanhua Wang, Yanhua Wang, Yanhua Wang, Yanhua Wang, Yi Wang, Yi Wang, Yi Wang, Linhong Song, Jun Li, Jun Li, Jun Li, Yuanyuan Xie, Yuanyuan Xie, Yuanyuan Xie, Lei Yan, Lei Yan, Lei Yan, Siqi Hu, Siqi Hu, Siqi Hu, Zhichun Feng, Zhichun Feng, Zhichun Feng, Zhichun Feng

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Predicting Olympic Medal Performance for 2028: Machine Learning Models and the Impact of Host and Coaching Effects by Zhenkai Zhang, Tengfei Ma, Yunpeng Yao, Ningjia Xu, Yujie Gao, Wanwan Xia

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Significance of the ARIMA epidemiological modeling to predict the rate of HIV and AIDS in the Kumba Health District of Cameroon by Arrey Emmanuel Besong, Odette Dzemo Kibu, Odette Dzemo Kibu, Odette Dzemo Kibu, Odette Dzemo Kibu, Elvis Asangbeng Tanue, Elvis Asangbeng Tanue, Elvis Asangbeng Tanue, Elvis Asangbeng Tanue, Besong Agbor Obinkem, Ginyu Innocentia Kwalar, Ginyu Innocentia Kwalar, Ginyu Innocentia Kwalar, Ginyu Innocentia Kwalar, Fabrice Chethkwo, Valentine Ndze Ngum, Maurice Marcel Sandeu, Maurice Marcel Sandeu, Maurice Marcel Sandeu, Maurice Marcel Sandeu, Patrick Jolly Ngono Ema, Patrick Jolly Ngono Ema, Patrick Jolly Ngono Ema, Patrick Jolly Ngono Ema, Nkweteyim Denis, Nkweteyim Denis, Nkweteyim Denis, Nkweteyim Denis, Onduo Moise, Onduo Moise, Onduo Moise, Onduo Moise, Ayana Gelan, Ayana Gelan, Ayana Gelan, Ayana Gelan, Jude Dzevela Kong, Jude Dzevela Kong, Jude Dzevela Kong, Dickson Shey Nsagha, Dickson Shey Nsagha, Dickson Shey Nsagha, Dickson Shey Nsagha

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Predicting cardiac frequencies in mammals by Rui D. M. Travasso, Clint A. Penick, Robert R. Dunn, E. Corvera Poiré

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TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVM by Elsaid Md. Abdelrahim, Hasan Hashim, El-Sayed Atlam, Radwa Ahmed Osman, Ibrahim Gad

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Prediction of subway shield construction parameters based on multi-layer perceptron by LI Wenqian, WU Yunhuan, WU Jingye, CHEN Zhihuai, XIE Senlin, HU Anfeng

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Predicting unemployment rates in Indonesia by Umi Mahmudah

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An Empirical Correlation to Predict the Ignition Delay Time for Some Hydrocarbon Fuels by F. S. Shariatmadar, Sh. Ghanbari Pakdehi, M. A. Zarei

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Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review by Henintsoa S. Andrianarivony, Moulay A. Akhloufi

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Challenges in antibody structure prediction by Monica L. Fernández-Quintero, Janik Kokot, Franz Waibl, Anna-Lena M. Fischer, Patrick K. Quoika, Charlotte M. Deane, Klaus R. Liedl

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Foretelling or foresight? Accounting-based bankruptcy prediction models and earnings quality in the case of Polish listed companies by Barbara Grabińska, Konrad Grabiński

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Investigating Enhanced Cooling Load Estimation through Hybrid LSSVR Models by Ali Hassan, Hamza Rashid

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Prediction instrument for obstructed labor by Rafhani Rosyidah, Nurul Azizah, Evi Rinata

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Application Deep Learning to Predict Crypto Currency Prices and their Relationship to Market Adequacy (Applied Research Bitcoin as an Example) by M. Kh. Abdalhammed, A. M. Ghazal, H. M. Ibrahim, A. Kh. Ahmed

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Prediction of cardinal temperature by nonlinear regression models in carrot (Daucus carota L.) and three common weed species by مرجان دیانت

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A Scoring Algorithm for the Early Prediction of Academic Risk in STEM Courses by Vanja Čotić Poturić, Sanja Čandrlić, Ivan Dražić

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Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis by Akshai Parakkal Sreenivasan, Aina Vaivade, Yassine Noui, Payam Emami Khoonsari, Joachim Burman, Ola Spjuth, Kim Kultima

“…Our model accurately predicted the change in diagnosis from RRMS to SPMS for patients who transitioned during the study period. …”
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Prediction of Rice Yields in a Changing Climate Using the Mobile Rice Yield Prediction Application by Mohamad Farhan Mohamad Mohsin, Mohamad Ghozali Hassan, Kamal Imran Mohd Sharif, Mohd Azril Ismail, Liew Jun Hong, Muhammad Khalifa Umana, Hairazi Rahim@Abdul Rahim

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