Solar Radiation Prediction Using Decision Tree and Random Forest Models in Open-Source Software by Tucumbi Lisbeth, Guano Jefferson, Salazar-Achig Roberto, Jiménez J. Diego L.

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Genetic markers and predictive model for individual differences in countermovement jump enhancement after resistance training by Tao Mei, Xiaoxia Li, Yanchun Li, Xiaolin Yang, Liang Li, Zihong He

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Physician Global Assessments or Blood tests do not Predict Mucosal Disease Activity in Ulcerative Colitis by Mayur Brahmania, Charles N Bernstein

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Could Biomarkers of Bone, Cartilage or Synovium Turnover Be Used for Relapse Prediction in Rheumatoid Arthritis Patients? by Delphine Dénarié, Elodie Constant, Thierry Thomas, Hubert Marotte

“…They also could be used to manage RA therapies, but we need more data on RA remission to predict relapse.…”
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Prediction and Prevention of Upper Gastrointestinal Bleeding after Cardiac Surgery: A Case Control Study by Mamatha Bhat, Martin Larocque, Marcos Amorim, Karl Herba, Myriam Martel, Benoît De Varennes, Alan Barkun

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Multiple Brain Abscesses due to Streptococcus anginosus: Prediction of Mortality by an Imaging Severity Index Score by K. O. Kragha

“…An imaging severity index score with a better prognostic value than the Glasgow coma scale predicted mortality in this patient.…”
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Influence of Training Set Selection in Artificial Neural Network-Based Propagation Path Loss Predictions by Ignacio Fernández Anitzine, Juan Antonio Romo Argota, Fernado Pérez Fontán

“…This paper analyzes the use of artificial neural networks (ANNs) for predicting the received power/path loss in both outdoor and indoor links. …”
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Construction of cuproptosis-related genes risk model predicts the prognosis of Uterine Corpus Endometrial Carcinoma by Yanfang Huang, Guoxian Luo, Xiujie Sheng, Jianqi Li

“…The LASSO regression and Nomogram models demonstrated robust predictive performance for UCEC prognosis, identifying CDKN2A, GLS, and PPAT as critical prognostic genes. …”
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Combining Convolutional Neural Network (CNN) and Grad-CAM for Parkinson’s Disease Prediction and Visual Explanation by Reyhaneh Dehghan, Marjan Naderan, Seyed Enayatallah Alavi

“…Finally, the Grad-CAM technique is used to obtain visual interpretation from the predictions of the proposed CNN. To evaluate the proposed method, different measures such as accuracy, sensitivity (recall) and f1-score are used. …”
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Deep Learning-Based Prediction of Physical Stability considering Class Imbalance for Amorphous Solid Dispersions by Hanbyul Lee, Junghyun Kim, Suyeon Kim, Jimin Yoo, Guang J. Choi, Young-Seob Jeong

“…This research is aimed at predicting the physical stability for amorphous solid dispersion by utilizing deep learning methods. …”
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Analysis of sensitive urban form indicators of flood susceptible prediction based on machine learning models by M. Srivanit, S. Pattanasri, N. Phichetkunbodee, S. Manokeaw, S. Sitthikankun, D. Rinchumphu

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Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer by Jing Wang, Zhe Li, Wei Wang, Md Tauhidul Islam, Xiaoyan Wang, Zhen Han, Zihan Li, Guoxin Li, Yuming Jiang, Taojun Zhang, Wenjun Xiong, Zepang Sun, Lequan Yu, Zhicheng Zhang, Xianqi Yang, Shengtian Sang, Alyssa A Guo

“…Currently, there is a deficiency in precise predictive biomarkers for ICI efficacy. The aim of this study was to develop and validate a pathomics-driven ensemble model for predicting the response to ICIs in gastric cancer, using H&E-stained whole slide images (WSI).Methods This multicenter study retrospectively collected and analyzed H&E-stained WSIs and clinical data from 584 patients with gastric cancer. …”
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Predicting Screening Efficiency of Probability Screens Using KPCA-GRNN with WP-EE Feature Reconstruction by Qingtang Chen, Yijian Huang

“…The WP-EE-GRNN prediction algorithm using KPCA dimensionality reduction and secondary reconstruction not only achieves higher prediction accuracy than prior to KPCA dimensionality reduction but also improves prediction efficiency. …”
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Prediction of Visual Acuity after anti-VEGF Therapy in Diabetic Macular Edema by Machine Learning by Ying Zhang, Fabao Xu, Zhenzhe Lin, Jiawei Wang, Chao Huang, Min Wei, Weibin Zhai, Jianqiao Li

“…The VA predicted by machine learning was compared with the ground truth. …”
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Retracted: Risk Prediction Algorithm of Social Security Fund Operation Based on RBF Neural Network by International Journal of Antennas and Propagation

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Retracted: Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model by Journal of Function Spaces

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Novel Models for the Prediction of Left Atrial Appendage Thrombus in Patients with Chronic Nonvalvular Atrial Fibrillation by Do Van Chien, Pham Thai Giang, Pham Truong Son, Le Van Truong, Pham Nguyen Son

“…Predicting left atrial appendage thrombus (LAAT) in chronic nonvalvular atrial fibrillation remains challenging despite the fact that several predictive models have been proposed to date. …”
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A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease by K. M. Tawsik Jawad, Anusha Verma, Fathi Amsaad, Lamia Ashraf

“…The goal of this research is to first develop an accurate ensemble model for prediction of unseen cases of CKD given the biomarkers. …”
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Safety, Efficacy, and Predictive Factors of Conventional Epithelium-Off Corneal Crosslinking in the Treatment of Progressive Keratoconus by Rebecca Farhat, Mohamad Khaled Ghannam, Georges Azar, Joseph Nehme, Marwan Sahyoun, Najib Georges Hanna, Mariana Abi Karam, Charbel El Haber, Alexandre Schakal, Alexandre Jalkh, Ameed Samaha

“…Purpose. To report predictive factors of outcome of conventional epithelium-off corneal crosslinking (CXL) in the treatment of progressive keratoconus. …”
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Physics-Informed Neural Network for modeling and predicting temperature fluctuations in proton exchange membrane electrolysis by Islam Zerrougui, Zhongliang Li, Daniel Hissel

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