Disease prediction by network information gain on a single sample basis by Jinling Yan, Peiluan Li, Ying Li, Rong Gao, Cheng Bi, Luonan Chen

Subjects: Get full text

The clinical prediction model to distinguish between colonization and infection by Klebsiella pneumoniae by Xiaoyu Zhang, Xifan Zhang, Deng Zhang, Jing Xu, Jingping Zhang, Xin Zhang

“…ObjectiveTo develop a machine learning-based prediction model to assist clinicians in accurately determining whether the detection of Klebsiella pneumoniae (KP) in sputum samples indicates an infection, facilitating timely diagnosis and treatment.Research methodsA retrospective analysis was conducted on 8,318 patients with KP cultures admitted to a tertiary hospital in Northeast China from January 2019 to December 2023. …”
Get full text

IoT in Urban Traffic Prediction Development Case Studies and Future Trends by Wang Renhe

“…First, edge computing is introduced into the IOT, and edge computing is mixed with cloud computing to obtain a prediction system with better performance and lower robustness. …”
Get full text

Individualized prediction of stroke-associated pneumonia for patients with acute ischemic stroke by Lulu Zhang, Qi Wang, Qi Wang, Yidan Li, Qi Fang, Xiang Tang

Subjects: Get full text

The gut microbiota predicts and time-restricted feeding delays experimental colitis by Hannah K. Ruple, Eva Haasis, Anna Bettenburg, Carina Maier, Carolin Fritz, Laura Schüle, Sarah Löcker, Yvonne Soltow, Lynn Schintgen, Nina S. Schmidt, Celine Schneider, Axel Lorentz, W. Florian Fricke

“…Compositional changes and reduced rhythmicity of the fecal microbiota preceded colitis and could predict colitis symptoms for individual IL-10-/- mice across different experiments. …”
Get full text

A hybrid model for prediction of software effort based on team size by Prerana Rai, Dinesh Kumar Verma, Shishir Kumar

“…The project management team of an organisation tries to predict the effort needed for the development of software using various mathematical techniques. …”
Get full text

Analytical Equations for Predicting Effective Thermal Conductivity in Laminated Wood Composites by Harsh Pal, Sardar Malek

“…This paper presents an analytical modeling approach to predict the effective in-plane and out-of-plane thermal conductivities of laminated wood composite products such as Cross-Laminated Timber (CLT). …”
Get full text

Synchronization-based graph spatio-temporal attention network for seizure prediction by Jie Xiang, Yanan Li, Xubin Wu, Yanqing Dong, Xin Wen, Yan Niu

Subjects: “…Seizure prediction…”
Get full text

Prediction of Climate Change Induced Hydrogeomorphology by using SDSM in CAN Watershed by Ali Ahmadabadi, Zahra sedighifar

“…The amount of surface runoff and runoff at the study area is 10.59 mm in the studied observation period, but this rate was estimated to be 21.27 mm for the predicted period due to the increase of urbanization and changes in utilization. …”
Get full text

Clinical validation and optimization of machine learning models for early prediction of sepsis by Xi Liu, Meiyi Li, Xu Liu, Yuting Luo, Dong Yang, Hui Ouyang, Jiaoling He, Jinyu Xia, Fei Xiao, Fei Xiao, Fei Xiao

Subjects: Get full text

PPCM: Combing Multiple Classifiers to Improve Protein-Protein Interaction Prediction by Jianzhuang Yao, Hong Guo, Xiaohan Yang

“…Although different classifiers have been developed for PPI prediction, no single classifier seems to be able to predict PPI with high confidence. …”
Get full text

On the estimation of inverse-probability-of-censoring weights for the evaluation of survival prediction error. by Thomas Prince, Andrea Bommert, Jörg Rahnenführer, Matthias Schmid

“…We investigate the behavior of the inverse-probability-of-censoring weighted (IPCW) Brier score, which is frequently used to assess the predictive performance of time-to-event models. A key requirement of the IPCW Brier score is the estimation of the censoring distribution, which is needed to compute the weights. …”
Get full text

Exploring the Predictive Role of 11‐Oxyandrogens in Diagnosing Polycystic Ovary Syndrome by Armaiti Parvez Mody, Maya Beth Lodish, Richard Joseph Auchus, Adina F. Turcu, Fei Jiang, Heather Gibson Huddleston

“…When considered together, the four 11‐oxyandrogens were more predictive of PCOS compared to testosterone and androstenedione. …”
Get full text

Prediction of size distribution of iron ore granules and permeability of its bed by Lv X., Bai C., Huang X., Qiu G.

“…The granulation process, which is determined by many factors like properties of the mixture and the operating parameters, is of very importance for getting a good permeability of the burden in the sintering strand. The prediction of the size distribution of the granules and the permeability of its bed by the artificial neural network was studied in this paper. …”
Get full text

Biomarkers in Adult Dermatomyositis: Tools to Help the Diagnosis and Predict the Clinical Outcome by Charles Cassius, Hélène Le Buanec, Jean-David Bouaziz, Reyhan Amode

Get full text

Adaptive Weighted Face Alignment by Multi-Scale Feature and Offset Prediction by Jingwen Li, Jiuzhen Liang, Hao Liu, Zhenjie Hou

“…In this paper, we develop a facial landmark detection model aided by offset prediction to constrain the global shape. First, the hybrid detection model is used to roughly locate the initial coordinates predicted by the backbone network. …”
Get full text

Research on the Rate of Penetration Prediction Method Based on Stacking Ensemble Learning by Yangfeng Ren, Baoping Lu, Shuangjin Zheng, Kai Bai, Lin Cheng, Hao Yan, Gan Wang

“…In order to accurately predict the ROP of an oilfield in Xinjiang working area, a ROP prediction model based on the historical drilling data of this working area was established based on stacking ensemble learning. …”
Get full text

Feature selection enhances peptide binding predictions for TCR-specific interactions by Hamid Teimouri, Hamid Teimouri, Zahra S. Ghoreyshi, Zahra S. Ghoreyshi, Anatoly B. Kolomeisky, Anatoly B. Kolomeisky, Anatoly B. Kolomeisky, Jason T. George, Jason T. George, Jason T. George, Jason T. George

“…IntroductionT-cell receptors (TCRs) play a critical role in the immune response by recognizing specific ligand peptides presented by major histocompatibility complex (MHC) molecules. Accurate prediction of peptide binding to TCRs is essential for advancing immunotherapy, vaccine design, and understanding mechanisms of autoimmune disorders.MethodsThis study presents a theoretical approach that explores the impact of feature selection techniques on enhancing the predictive accuracy of peptide binding models tailored for specific TCRs. …”
Get full text

Evaluation of Mannheim Peritonitis Index Score for predicting the outcomes in patients with peritonitis by Raiba Deshmukh, Avishkar K Barase, Rutik P Gandhi, Aniket Chaware, Avinash Dhumal

“…Conclusion: MPI score is a simple, effective, and useful system for predicting post-operative mortality and morbidity in cases of peritonitis. …”
Get full text

Machine learning for predicting strength properties of waste iron slag concrete by Matiur Rahman Raju, Syed Ishtiaq Ahmad, Md Mehedi Hasan, Noor Md. Sadiqul Hasan, Md Monirul Islam, Md. Abdul Basit, Ishraq Tasnim Hossain, Saif Ahmed Santo, Md Shahrior Alam, Mahfuzur Rahman

“…The experimental investigation of WIS-incorporated concrete focused on compressive and tensile strength with machine learning (ML) models for prediction. Among the tested ML algorithms, Decision Tree (DT) and XGBoost showed the highest accuracy (R2 = 0.95135) in predicting concrete strength properties, while models like SVM and Symbolic Regression underperformed. …”
Get full text