Predictive Value of IDEAL-IQ and DWI Imaging Biomarkers for P53 Mutations in Hepatocellular Carcinoma by Wang D, Yin H, Li X, Zhou S, Wang YC

“…Additionally, high-grade HCC showed significantly lower ADC values compared to lower-grade tumors (P < 0.001).Conclusion: R2* and ADC exhibited significant features in P53-mutated HCC, suggesting their potential as non-invasive biomarkers for predicting P53 mutation status and guiding clinical management. …”
Get full text

Predictive value of peripheral blood piR-hsa-2700592 for prognosis of atrial fibrillation patients by YANG Lei, YANG Lei, WU Na, YANG Lanqing

“…Receiver operating characteristic (ROC) curve analysis (area under the curve, AUC), net reclassification index (NRI), and comprehensive discriminant improvement index (IDI) were used to evaluate the predictive performance, and decision curve analysis (DCA) was employed to assess the clinical benefit. …”
Get full text

Calculation Method of Axial Compressive Capacity of 7075-T6 Aluminum Alloy Rectangular Tubes Based on Continuous Strength Method by Zhiguan Huang, Hailin Li, Cheng Zhang, Junli Liu

“…The approach combining this modified curve with Chinese codes is termed the Modified Chinese Code Method. The axial capacities calculated by the CSM-based method, Modified Chinese Code Method, EN 1999-1-1, and AASTM were compared for accuracy evaluation. …”
Get full text

Predictive factors for outcome in HER2-low breast cancer patients after neoadjuvant chemotherapy by Yingbo Shao, Yingbo Shao, Huijuan Guan, Huijuan Guan, Zhifen Luo, Zhifen Luo, Yang Yu, Yang Yu, Yaning He, Yaning He, Qi Chen, Qi Chen, Chaojun Liu, Chaojun Liu, Fangyuan Zhu, Fangyuan Zhu, Hui Liu, Hui Liu

“…ObjectiveThe present study aimed to evaluate the predictive factors that predict outcomes of HER2-low breast cancer patients who did not achieve pathological complete response(pCR) after neoadjuvant chemotherapy (NAC).MethodsThis study included patients with HER2-low breast cancer who received NAC from January 2017 to December 2020. …”
Get full text

Comparison of the predictive capacity of the Alvarado and AIR scores in the diagnosis of acute appendicitis: A prospective study by L.M. Sanabria-Arévalo, L.C. Domínguez-Torres, J. Kock, J.D. Lotero, J.C. Gómez-Cáceres, E. Tuta-Quintero

“…The predictive capacity of the Alvarado and Air scores was evaluated through an ROC curve analysis, determining the area under the ROC curve. …”
Get full text

Data Transfer Schemes in Rotorcraft Fluid-Structure Interaction Predictions by Young H. You, Deokhwan Na, Sung N. Jung

“…The second (method 3) is a mixture of the two methods. All methods lead to convergent solutions after a few cycles of coupling iterations are marched. …”
Get full text

Prediction of multi-type membrane proteins in human by an integrated approach. by Guohua Huang, Yuchao Zhang, Lei Chen, Ning Zhang, Tao Huang, Yu-Dong Cai

“…New metrics for evaluating performances of methods dealing with multi-label problems were also presented. …”
Get full text

Predicting Financial Market Volatility with Modern Model and Traditional Model by R. G. Aldeki

“…Additionally, the effectiveness of the machine learning techniques’ selection and utilization of information in stock data is evaluated. Methods the semiparametric estimating technique known as support vector regression (SVR) has been widely used for the prediction of volatility in financial time series. …”
Get full text

Hyperparameter optimization of machine learning models for predicting actual evapotranspiration by Chalachew Muluken Liyew, Elvira Di Nardo, Stefano Ferraris, Rosa Meo

“…Consequently, AET data is limited, prompting the use of meteorological and soil features for prediction. This study develops and evaluates machine learning models for AET prediction based on two input combinations. …”
Get full text

A comparative study and simple baseline for travel time prediction by Chuang-Chieh Lin, Ming-Chu Ho, Chih-Chieh Hung, Hui-Huang Hsu

“…A multitude of studies have proposed methods to address this issue, yet these approaches often involve multiple stages and steps, including data preprocessing, feature selection, data imputation, prediction model. …”
Get full text

Software Defect Prediction through Neural Network and Feature Selections by Mutasem Shabeb Alkhasawneh

“…Precision, recall, F-measure, and accuracy are four methods used to evaluate the performance of the proposed methods. …”
Get full text

RNA secondary structure prediction by conducting multi-class classifications by Jiyuan Yang, Kengo Sato, Martin Loza, Sung-Joon Park, Kenta Nakai

“…In summary, we could produce valid predictions and achieve better performance without complex post-processing steps, and we show our additional methods are beneficial to the performance in within-RNA-family and cross-RNA-family evaluations.…”
Get full text

Predicting Court Judgment in Criminal Cases by Text Mining Techniques by Mohammad Farhadishad, Mohammad Kazemifard, Zahra Rezaei

“…Also, evaluation criteria were analyzed in situations where sentiment scores, emotional scores, or both were used in the prediction process along with judicial texts. …”
Get full text

Efficient Segmentation Using Attention-Fusion Modules With Dense Predictions by Serdar Erisen

“…SERNet-Former_v2 has also been evaluated on challenging datasets of ADE20K, BDD100K, CamVid, and Cityscapes, showing significant advancements through attention-based methods. …”
Get full text

Predicting Crime Time Intervals Using Machine Learning Models by Arief Deswandi, Widi Hastomo

“…The evaluation was carried out using MAPE to measure the level of accuracy of crime clock predictions. …”
Get full text

RISK FACTORS AND PREDICTION OF MIOCARDIAL INFARCTION IN MALES OF DIFFERENT AGE by I. N. Suspitsina, I. A. Sukmanova

“…To conduct complex evaluation of MI risk factors in men taking their agespecific qualities, and to invent prediction calculator of MI based upon the data obtained.Material and methods. …”
Get full text

Predicting and comparing transcription start sites in single cell populations. by Shiwei Fu, Wei Vivian Li

“…Despite the emergence of computational methods designed to analyze 5' RNA sequencing data, current methods often lack comparative evaluations in single-cell contexts and are predominantly tailored for paired-end data, neglecting the potential of single-end data. …”
Get full text

Current Trends in Class Imbalance Learning for Software Defect Prediction by Somya R. Goyal

“…Researchers deployed a diverse range of learning methods to tackle the class-imbalance issues resulting into the remarkable achievements improving the performance of defect prediction models. …”
Get full text

Optimizing Learning: Predicting Research Competency via Statistical Proficiency by Tarid Wongvorachan, Siwachoat Srisuttiyakorn, Kanit Sriklaub

Get full text

Explainable models for predicting crab weight based on genetic programming by Tao Shi, Lingcheng Meng, Limiao Deng, Juan Li

“…The GP-based method has been evaluated on a publicly available dataset of crabs. …”
Get full text