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Machine learning algorithms

Assessing SOFA score trajectories in sepsis using machine learning: A pragmatic approach to improve the accuracy of mortality prediction

Lars Palmowski, Hartmuth Nowak, Andrea Witowski, Björn Koos, Alexander Wolf, Maike Weber, Daniel Kleefisch, Matthias Unterberg, Helge Haberl, Alexander von Busch, Christian Ertmer, Alexander Zarbock, Christian Bode, Christian Putensen, Ulrich Limper, Frank Wappler, Thomas Köhler, Dietrich Henzler, Daniel Oswald, Björn Ellger, Stefan F. Ehrentraut, Lars Bergmann, Katharina Rump, Dominik Ziehe, Nina Babel, Barbara Sitek, Katrin Marcus, Ulrich H. Frey, Patrick J. Thoral, Michael Adamzik, Martin Eisenacher, Tim Rahmel, on behalf of the SepsisDataNet.NRW research group

published 28 Mar 2024

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Transfer learning from rating prediction to Top-k recommendation

Fan Ye, Xiaobo Lu, Hongwei Li, Zhenyu Chen

published 28 Mar 2024

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Qbnb: An innovative C2B2C2B2C e-commerce mode for integrated on-demand services

Yaoyao Wei, Cuiyin yao, Wei-fan Chen, Tian Xie, Jinzhao Yang

published 28 Mar 2024

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Comparative study on differential expression analysis methods for single-cell RNA sequencing data with small biological replicates: Based on single-cell transcriptional data of PBMCs from COVID-19 severe patients

Jie Xue, Xinfan Zhou, Jing Yang, Adan Niu

published 27 Mar 2024

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A machine learning based depression screening framework using temporal domain features of the electroencephalography signals

Sheharyar Khan, Sanay Muhammad Umar Saeed, Jaroslav Frnda, Aamir Arsalan, Rashid Amin, Rahma Gantassi, Sadam Hussain Noorani

published 27 Mar 2024

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A deeply supervised adaptable neural network for diagnosis and classification of Alzheimer’s severity using multitask feature extraction

Mohsen Ahmadi, Danial Javaheri, Matin Khajavi, Kasra Danesh, Junbeom Hur

published 26 Mar 2024

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Anomaly based multi-stage attack detection method

Wei Ma, Yunyun Hou, Mingyu Jin, Pengpeng Jian

published 25 Mar 2024

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Development of short forms for screening children’s dental caries and urgent treatment needs using item response theory and machine learning methods

Di Xiong, Marvin Marcus, Carl A. Maida, Yuetong Lyu, Ron D. Hays, Yan Wang, Jie Shen, Vladimir W. Spolsky, Steve Y. Lee, James J. Crall, Honghu Liu

published 22 Mar 2024

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Construction and improvement of English vocabulary learning model integrating spiking neural network and convolutional long short-term memory algorithm

Yunxia Wang

published 22 Mar 2024

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Predicting hypertension control using machine learning

Thomas Mroz, Michael Griffin, Richard Cartabuke, Luke Laffin, Giavanna Russo-Alvarez, George Thomas, Nicholas Smedira, Thad Meese, Michael Shost, Ghaith Habboub

published 20 Mar 2024

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Short-term power load forecasting method based on Bagging-stochastic configuration networks

Xinfu Pang, Wei Sun, Haibo Li, Wei Liu, Changfeng Luan

published 19 Mar 2024

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Damage detection of road domain waveform guardrail structure based on machine learning multi-module fusion

Xiaowei Jin, Mingxing Gao, Danlan Li, Ting Zhao

published 15 Mar 2024

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Machine learning-based models to predict the conversion of normal blood pressure to hypertension within 5-year follow-up

Aref Andishgar, Sina Bazmi, Reza Tabrizi, Maziyar Rismani, Omid Keshavarzian, Babak Pezeshki, Fariba Ahmadizar

published 14 Mar 2024

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