Leveraging pretrained deep protein language model to predict peptide collision cross section by Ayano Nakai-Kasai, Kosuke Ogata, Yasushi Ishihama, Toshiyuki Tanaka

“…This paper describes experimental data and a prediction model for challenging CCS prediction tasks including longer peptides that tend to have higher charge states. …”
Get full text

MRI feature-based discrimination model for prediction of MGMT promoter methylation status in glioma by ZHANG Zhi-zhong, YOU Na, LIU Ming-hang, LI Ze, SUN Guo-chen, ZHAO Kai

“…The prediction accuracies rates of LR, SVM, RF and GB models were 0.84, 0.76, 0.68 and 0.76, respectively. …”
Get full text

A Comparative Analysis of Deep Learning Models for Prediction of Microsatellite Instability in Colorectal Cancer by Ziynet Pamuk, Hüseyin Erikçi

“…This study proposes a deep learning-based model for predicting microsatellite instability (MSI) in colorectal cancer using hematoxylin and eosin (H&E)-stained histopathological tissue slides. …”
Get full text

Comparison of 7 artificial intelligence models in predicting venous thromboembolism in COVID-19 patients by Indika Rajakaruna, Mohammad Hossein Amirhosseini, Mike Makris, Mike Laffan, Yang Li, Deepa J. Arachchillage

“…Background: An artificial intelligence (AI) approach can be used to predict venous thromboembolism (VTE). Objectives: To compare different AI models in predicting VTE using data from patients with COVID-19. …”
Get full text

Machine learning gene expression predicting model for ustekinumab response in patients with Crohn's disease by Manrong He, Chao Li, Wanxin Tang, Yingxi Kang, Yongdi Zuo, Yufang Wang

“…The study aimed to develop a prediction model based on the gene transcription profiling of patients with CD in response to UST. …”
Get full text

Prediction model of laparoendoscopic single-site surgery in gynecology using machine learning algorithm by Jun Ma, Jiani Yang, Shanshan Cheng, Yue Jin, Nan Zhang, Chao Wang, Yu Wang

Subjects: Get full text

Development of an AI Model for Predicting Methacholine Bronchial Provocation Test Results Using Spirometry by SangJee Park, Yehyeon Yi, Seon-Sook Han, Tae-Hoon Kim, So Jeong Kim, Young Soon Yoon, Suhyun Kim, Hyo Jin Lee, Yeonjeong Heo

“…This study aimed to develop an artificial intelligence (AI) model to predict the MBPT results using forced expiratory volume in one second (FEV₁) and bronchodilator test measurements from spirometry. …”
Get full text

Interpretable machine learning model for early prediction of acute kidney injury in patients with rhabdomyolysis by Ximu Zhang, Xiuting Liang, Zhangning Fu, Yibo Zhou, Yao Fang, MD, Xiaoli Liu, BS, Qian Yuan, Rui Liu, Quan Hong, Chao Liu

“…This study aimed to develop an interpretable and generalizable model for early AKI prediction in patients with RM. …”
Get full text

A Model‐Independent Strategy for the Targeted Observation Analysis and Its Application in ENSO Prediction by Weixun Rao, Youmin Tang, Yanling Wu, Xiaojing Li

“…This study developed a new strategy to address this challenge using multiple‐model prediction ensemble. It was found that while the ensemble size reaches a sufficiently large number the optimal observational sites detected tend to stable and model‐independent. …”
Get full text

Harnessing vaginal inflammation and microbiome: a machine learning model for predicting IVF success by Ofri Bar, Stylianos Vagios, Omer Barkai, Joseph Elshirbini, Irene Souter, Jiawu Xu, Kaitlyn James, Charles Bormann, Makiko Mitsunami, Jorge E. Chavarro, Philipp Foessleitner, Douglas S. Kwon, Moran Yassour, Caroline Mitchell

“…Among them, MFI cases had higher diversity but lower inflammation than those with unexplained infertility. Our model showed the highest prediction accuracy at time point 2 of the IVF cycle. …”
Get full text

Contextual Emotional Transformer-Based Model for Comment Analysis in Mental Health Case Prediction by Ayodeji O. J. Ibitoye, Oladosu O. Oladimeji, Olufade F. W. Onifade

“…Recent advancements in machine learning have facilitated the exploration of predictive models for MH based on user-generated comments that overlooked the integration of emotional attention mechanisms. …”
Get full text

Thermo-mechanical-fluid coupled modeling for residual stress prediction in thick plate welding by Yonghui Su, Haitao Xia, Shuo Chen, Chen Wang, Shuaiyu Wu, Wei Lu, Jun Zhu, Hao Wu

“…Welding thick plates induces more complex residual stress distributions than thin plates, with traditional thermo-mechanical model struggling to accurately predict the impact of molten pool flow and weld bead morphology. …”
Get full text

Study on Prediction of Domestic Water Consumption Based on Residual Grey Markov Chain Model by LIU Xian, YUAN Dan, ZHANG Xiaoli, MU Duo

Subjects: Get full text

Prediction rotary drilling penetration rate in lateritic soils using machine learning models by Eugène Gatchouessi Kamdem, Franck Ferry Kamgue Tiam, Luc Leroy Mambou Ngueyep, Olivier Wounabaissa, Hugues Richard Lembo Nnomo, Abraham Kanmogne

“…The present paper investigated an accurate machine learning model for the penetration rates (ROP) prediction in lateritic soil covers layers. …”
Get full text

Transfer learning-enhanced CNN-GRU-attention model for knee joint torque prediction by Hao Xie, Yingpeng Wang, Tingting Liu, Songhua Yan, Jizhou Zeng, Kuan Zhang

“…The neural network was trained using EMG signals, joint angles, and muscle forces as inputs to predict knee joint torque in different activities, and the predictive performance of the model was evaluated both within and between subjects. …”
Get full text

A prediction method for radiation proctitis based on SAM-Med2D model by Ning Zhang, Haifeng Ling, Wenyu Zhang, Mei Zhang

“…We apply T-tests and Lasso regression to identify features most correlated with radiation proctitis and build predictive models using logistic regression, random forest, and naive Gaussian Bayesian algorithms. …”
Get full text

Utilizing patient data: A tutorial on predicting second cancer with machine learning models by Hossein Sadeghi, Fatemeh Seif, Erfan Hatamabadi Farahani, Soraya Khanmohammadi, Shahla Nahidinezhad

“…To instruct and assess ML models for predicting the occurrence of SC based on patient data, the paper utilizes a dataset consisting of instances and attributes. …”
Get full text

Modeling the Production Process of Lignin Nanoparticles Through Anti-Solvent Precipitation for Properties Prediction by Victor Girard, Laurent Marchal-Heussler, Hubert Chapuis, Nicolas Brosse, Nadia Canilho, Isabelle Ziegler-Devin

Subjects: Get full text

IRHM: Inclusive Review Helpfulness Model for Review Helpfulness Prediction in E-commerce Platform by Yasamyian Almutairi, Manal Abdullah

“…This research paper proposed novel model called inclusive review helpfulnessmodel (IRHM) can be used to detect the most attributes affecting the RH and build classifier that can predict RH based on these attributes. …”
Get full text

A Deformation Prediction Model for Concrete Dams Based on RSA-VMD-AttLSTM by Pei Liu, Hao Gu, Chongshi Gu, Yanbo Wang

Subjects: “…deformation prediction model…”
Get full text