Risk for ocular hypertension progression to early glaucoma: A predictive model and key predictors by Shaofen Huang, Man Luo, Guitong Ye, Zhenlan Yang, Lingling Liao, Nina Wu, Yingting Zhu, Xing Liu, Yehong Zhuo, Hui Xiao

“…We aimed to develop a model for predicting OHT progression to early glaucoma and to identify key predictors. …”
Get full text

Construct and Predictive Validity of the Kansas City Cardiomyopathy Questionnaire in Adult Congenital Heart Disease by Ryan D. Byrne, MD, Ajith P. Nair, MD, Stephen J. Dolgner, MD, Swati Choudhry, MD, Edward J. Hickey, MD, Alexis C. Wood, PhD, Savitri Fedson, MD, Biykem Bozkurt, MD, PhD, Christopher R. Broda, MD

“…Objectives: This study evaluates construct and predictive validity of the KCCQ in ambulatory ACHD patients. …”
Get full text

Metabolome Profiling and Predictive Modeling of Dark Green Leaf Trait in Bunching Onion Varieties by Tetsuya Nakajima, Mari Kobayashi, Masato Fuji, Kouei Fujii, Mostafa Abdelrahman, Yasumasa Matsuoka, Jun’ichi Mano, Muneo Sato, Masami Yokota Hirai, Naoki Yamauchi, Masayoshi Shigyo

“…This study aimed to elucidate the mechanisms regulating the dark green trait and develop a predictive model for accurately assessing pigment composition. …”
Get full text

BLASTING BEYOND THE OBVIOUS: IDENTIFICATION OF OVERLOOKED PREDICTIVE FACTORS FOR LEUKEMIC CONVERSION IN MYELODYSPLASTIC NEOPLASMS by PRC Passos, RDB Dias, SCC Carneiro, IB Nogueira, JMGF Lima, RC Venâncio, ACG Lavor, JVG Gama, RF Pinheiro, SMM Magalhães

“…Methods: We conducted a retrospective cohort at a single reference center, involving patients diagnosed with MDS between 2004 and 2024. …”
Get full text

Transcriptional landscape and predictive potential of long noncoding RNAs in peritoneal recurrence of gastric cancer by Xiao-Xia Cai, Guo-Ming Chen, Zi-Qi Zheng, Yi-Xin Yin, Shuang Wang, Li Qiao, Xiao-Jiang Chen, Bai-Wei Zhao, Jin-Ling Duan, Cheng-Cai Liang, Ruo-Peng Zhang, Cheng-Zhi Wei, Fei-Yang Zhang, Bo-Wen Huang, Ze-Xian Liu, Zhi-Wei Zhou, Dan Xie, Mu-Yan Cai, Shu-Qiang Yuan, Yuan-Fang Li, Run-Cong Nie

“…However, research comprehensively exploring tissue-derived lncRNAs for predicting peritoneal recurrence in patients with GC remains limited. …”
Get full text

Modeling and Predicting Time Series with Non-stationarity and Volatility by FENG Qiang, ZHAO Jianguang, YANG Rong, NIU Baoning

“…By decomposing the original sequence into a set of components, this method ensures the integrity of trend and periodic characteristics while increasing the proportion of stationary components in the component set, providing more stable data for the prediction model. …”
Get full text

Laptop power tuning based on system state prediction by Qihua Xiao, Zhihui Shan, Xueli Ban, Zhengcao Jin

“…By evaluating the value of the predicted states, the optimal action is selected. …”
Get full text

Adversarial defense for battery state-of-health prediction models by Masoumeh Mohammadi, Insoo Sohn

“…We analyze the impact of adversarial data poisoning attacks on SOH prediction models, specifically employing the fast gradient sign method (FGSM) and iterative fast gradient sign method (IFGSM). …”
Get full text

An Improved KNN-Based Slope Stability Prediction Model by Shuai Huang, Mingming Huang, Yuejun Lyu

“…Moreover, a comparison between our proposed prediction model and the finite element method, which is the classical theoretical method of slope stability, was made, which will provide an important approach to predicting the slope stability for slope engineering. …”
Get full text

Advances in Neural Network assisted Tool Pressure Prediction by Göltl Florian, Harst Felix, Birkert Arndt, Stache Nicolaj C.

“…In this process, the CNN output is scaled to absolute values using the known total integral force, allowing the post-processing method to extrapolate the predicted pressure distribution effectively, even in untrained regions.…”
Get full text

How Can We Predict Success in Poor Responders? by Alina Elena BORDEA, Elvira BRATILA, Diana MIHAI, Marina ANTONOVICI, Claudia MEHEDINTU, Andreea CARP-VELISCU

“…Objectives: The aim of this study was to evaluate how can we predict success in poor responder patients in terms of pregnancy rate and live birth rate. …”
Get full text

Naive Bayes Analysis for Nutritional Fulfillment Prediction in Children by Satrio Agung Wicaksono, Satrio Hadi Wijoyo, Fatmawati Fatmawati, Tri Afirianto, Diva Kurnianingtyas, Mochammad Chandra Saputra

“…Key performance metrics were evaluated to validate the model's predictive capabilities, including accuracy, precision, recall, and F1-score. …”
Get full text

Cross-Project Defect Prediction: A Literature Review by Sourabh Pal, Alberto Sillitti

“…Due to the lack of availability of software engineering data from the same project, the researchers proposed cross-project defect prediction (CPDP) models where the data collected from one or more projects are used to predict faults in other project. …”
Get full text

The role of CT in prognosis prediction in COVID-19 patients by Tonje Gravdal, Kine Storås, Albertina Rusandu, Ragna Stalsberg

“… Introduction: The aim of the present study was to summarize and evaluate previously published scientific studies examining whether computed tomography (CT) of the thorax can predict the COVID-19 prognosis. …”
Get full text

Probabilistic prediction of Load–Displacement curves of corroded strands by Seungjun Lee, Jaebeom Lee, Chi-Ho Jeon, Young-Joo Lee

“…This study proposes a probabilistic method for predicting the non-linear mechanical behavior of corroded steel strands. …”
Get full text

A Computational Framework to Predict the Soccer Ball Trajectory by Pierluigi Maponi, Riccardo Piombin

Get full text

Application of Machine Learning Models for Baseball Outcome Prediction by Tzu-Chien Lo, Chen-Yin Lee, Chien-Lin Chen, Tsung-Yu Hsieh, Che-Hsiu Chen, Yen-Kuang Lin

“…Data science has become an essential component in professional sports, particularly for predicting team performance and outcomes. This study aims to develop and evaluate machine learning models that accurately predict game outcomes in the Chinese Professional Baseball League (CPBL). …”
Get full text

COMPARATIVE MACHINE LEARNING ALGORITHM FOR CARDIOVASCULAR DISEASE PREDICTION by Ashish Mishra, Jyoti Mishra, Victor Hugo, Aloísio Vieira Lira Neto

“…The preliminary examination and evaluation predicted heart problems. The dataset has 303 samples with 14 features. …”
Get full text

Synchrophasor-Based Out-of-Step Prediction in Large Grids by Zainab Alnassar, S. T. Nagarajan

“…The prediction speed of proposed method is found to be between 5% and 70% of time to OOS, after disturbance clearance. …”
Get full text

Junction temperature prediction Model Development with Co-simulation by Mustafa Ozden, Gokhan Ozkan, S M Imrat Rahman, Elutunji Buraimoh, Laxman Timilsina, Behnaz Papari, Christopher S. Edrington

“…Two different approaches are evaluated: the Temperature-Responsive Power Loss Calculation (TRPLC) and the Temperature-Agnostic Power Loss Calculation (TAPLC). …”
Get full text