Construction and Validation of a Nomogram Model to Predict the Severity of Mycoplasma pneumoniae Pneumonia in Children by Li L, Guo R, Zou Y, Wang X, Wang Y, Zhang S, Wang H, Jin X, Zhang N

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EASY‐APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis by Balázs Kui, József Pintér, Roland Molontay, Marcell Nagy, Nelli Farkas, Noémi Gede, Áron Vincze, Judit Bajor, Szilárd Gódi, József Czimmer, Imre Szabó, Anita Illés, Patrícia Sarlós, Roland Hágendorn, Gabriella Pár, Mária Papp, Zsuzsanna Vitális, György Kovács, Eszter Fehér, Ildikó Földi, Ferenc Izbéki, László Gajdán, Roland Fejes, Balázs Csaba Németh, Imola Török, Hunor Farkas, Artautas Mickevicius, Ville Sallinen, Shamil Galeev, Elena Ramírez‐Maldonado, Andrea Párniczky, Bálint Erőss, Péter Jenő Hegyi, Katalin Márta, Szilárd Váncsa, Robert Sutton, Peter Szatmary, Diane Latawiec, Chris Halloran, Enrique de‐Madaria, Elizabeth Pando, Piero Alberti, Maria José Gómez‐Jurado, Alina Tantau, Andrea Szentesi, Péter Hegyi, the Hungarian Pancreatic Study Group

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Hypertriglyceridaemia-Induced Acute Pancreatitis: A Different Disease Phenotype by Greta Dancu, Felix Bende, Mirela Danila, Roxana Sirli, Alina Popescu, Cristi Tarta

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A Machine Learning Model for the Prediction of COVID-19 Severity Using RNA-Seq, Clinical, and Co-Morbidity Data by Sahil Sethi, Sushil Shakyawar, Athreya S. Reddy, Jai Chand Patel, Chittibabu Guda

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Predictive value of hepatic transaminases during febrile phase as a predictor of a severe form of Dengue: analysis of adult Dengue patients from a tertiary care setting of Sri Lank... by Dickowita Kankanamge Dilani Priyangika, Gayani Premawansa, Madura Adikari, Sharmila Thillainathan, Sunil Premawansa, Bernard Deepal Wanniarachchi Jayamanne, Ranjan Premaratna

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Prediction Models of Severity in Acute Biliary Pancreatitis by Iulia Ratiu, Renata Bende, Camelia Nica, Oana Budii, Calin Burciu, Andreea Barbulescu, Tudor Moga, Bogdan Miutescu, Roxana Sirli, Mirela Danila, Alina Popescu, Felix Bende

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Deep Neural Network-Based Severity Prediction of Bug Reports by Waheed Yousuf Ramay, Qasim Umer, Xu Cheng Yin, Chao Zhu, Inam Illahi

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Incidence and severity prediction score of COVID-19 in people living with HIV (SCOVHIV): experience from the first and second waves of the pandemic in Indonesia by Evy Yunihastuti, Teguh Harjono Karjadi, Alvina Widhani, Haridana Indah Setiawati Mahdi, Salma Sundari, Aljira Fitya Hapsari, Sukamto Koesnoe, Samsuridjal Djauzi

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Furosemide stress test as a predictive marker of acute kidney injury progression or renal replacement therapy: a systemic review and meta-analysis by Jia-Jin Chen, Chih-Hsiang Chang, Yen-Ta Huang, George Kuo

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Prediction of Severity of COVID-19-Infected Patients Using Machine Learning Techniques by Aziz Alotaibi, Mohammad Shiblee, Adel Alshahrani

Subjects: “…severity prediction…”
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SevPredict: Exploring the Potential of Large Language Models in Software Maintenance by Muhammad Ali Arshad, Adnan Riaz, Rubia Fatima, Affan Yasin

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Injury Severity Prediction of Traffic Collision by Applying a Series of Neural Networks: The City of London Case Study by Meisam Siamidoudaran, Ersun İşçioğlu

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Severity Prediction for Bug Reports Using Multi-Aspect Features: A Deep Learning Approach by Anh-Hien Dao, Cheng-Zen Yang

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Analysis of the Performance of Machine Learning Models in Predicting the Severity Level of Large-Truck Crashes by Jinli Liu, Yi Qi, Jueqiang Tao, Tao Tao

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Traffic Accident’s Severity Prediction: A Deep-Learning Approach-Based CNN Network by Ming Zheng, Tong Li, Rui Zhu, Jing Chen, Zifei Ma, Mingjing Tang, Zhongqiang Cui, Zhan Wang

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A new hybrid ensemble machine-learning model for severity risk assessment and post-COVID prediction system by Natalya Shakhovska, Vitaliy Yakovyna, Valentyna Chopyak

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Towards efficient and accurate prediction of freeway accident severity using two-level fuzzy comprehensive evaluation by Guanghui Wang, Jinbo Li, Lingfeng Shen, Shuang Ding, Zongqi Shi, Fang Zuo

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A new height contouring method for severity prediction in cam-type hip joints: 20 subject-specific cases by Trent Edward Rayment, Sophie Williams, Alison Claire Jones

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Automated interpretable computational biology in the clinic: a framework to predict disease severity and stratify patients from clinical data by Soumya Banerjee

Subjects: “…disease severity prediction…”
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Anomaly Detection and Severity Prediction of Air Leakage in Train Braking Pipes by Wan-Jui Lee

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