Improving the predictive capability of Framingham Risk Score for the risk of myocardial infarction based on coronary artery calcium score in healthy Singaporeans by Ching Yee Ivory Yeo, John Carson Jr Allen, Weiting Huang, Wei Ying Tan, Siew Ching Kong, Khung Keong Yeo

“…SG FRS++ significantly increases accuracy in risk prediction (NRI = 0.219, P = 0.00254). Conclusion: Existing Singapore cardiovascular disease risk prediction guidelines should be updated to improve risk prediction accuracy. …”
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Predictive value of different baseline optical coherence tomography biomarkers for visual acuity changes in neovascular age-related macular degeneration by Hamid Riazi-Esfahani, Hooshang Faghihi, Fatemeh Bazvand, Mohammadreza Mehrabi Bahar, Hassan Khojasteh, Ahmed Husein Ahmed, Shahin Faghihi, Ali Fakhraie, Mohammad Hossein Zamani, Samin Ghasemi, Esmaeil Asadi Khameneh, Elias Khalili Pour

“…Conclusion Baseline OCT biomarkers, including SIPED, IRF, and PED width, may predict visual acuity changes in nAMD patients treated with aflibercept, highlighting the need for individualized monitoring. …”
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Predicting cardiovascular disease and all-cause mortality using the lymphocyte-to-monocyte ratio: Insights from explainable machine learning models by Jichao Wu, Die Huang, Jiefang Li, Jingxing Yi, Yu Lei, Jun Yin

“…Conclusion: The study concludes that LMR is a simple and practical indicator for predicting cardiovascular disease and its mortality. …”
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Performance in organic chemistry at either a four-year university or community college predicts academic performance in an accelerated school of pharmacy by Troy J. Smith, Jason Ross, Charles R. Breese, Melissa A. Burmeister

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MAEMC-NET: a hybrid self-supervised learning method for predicting the malignancy of solitary pulmonary nodules from CT images by Tianhu Zhao, Tianhu Zhao, Yong Yue, Hang Sun, Jingxu Li, Yanhua Wen, Yudong Yao, Wei Qian, Yubao Guan, Shouliang Qi, Shouliang Qi

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18F-FDG PET/CT assessment of metabolic tumor burden predicts survival in patients with metastatic posterior uveal melanoma by Tine Gadegaard Hindso, Torben Martinussen, Camilla Wium Bjerrum, Sune Høgild Keller, Annika Loft, Mette Bagger Sjøl, Kristoffer Nissen, Carsten Faber, Marco Donia, Inge Marie Svane, Eva Ellebaek, Steffen Heegaard, Jens Folke Kiilgaard, Karine Madsen

“…In conclusion, MTV and TLG were found to be better predictors of survival in metastatic PUM than the AJCC staging system, but when LDLM was used as a continuous variable it showed an equally good prediction of 1-year survival.…”
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Development and validation of a risk prediction model for PICC-related venous thrombosis in patients with cancer: a prospective cohort study by Zeyin Hu, Mengna Luo, Ruoying He, Zhenming Wu, Yuying Fan, Jia Li

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Predicting Multi-Scenario Land Use Changes and Soil Erosion in the Huaihe River Basin Based on Coupled PLUS-CSLE Model by GUO Weiling, XU Liuyang, JIA Jiang, GAO Chang, XIA Xiaolin, WANG Bangwen, ZHANG Jingyu, CHEN Lei, CHEN Yingjian

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Ultrasound-detected osteophytes predict the development of radiographic and clinical features of hand osteoarthritis in the same finger joints 5 years later by Tore K Kvien, Hilde Berner Hammer, Ida K Haugen, Barbara Slatkowsky-Christensen, Alexander Mathiessen

“…Our aim was to explore whether ultrasound-detected osteophytes (in radiographically and clinically normal finger joints) predicted the development of radiographic and clinical hand OA 5 years later.Methods We included finger joints without radiographic OA (Kellgren-Lawrence grade (KLG)=0; n=301) or no clinical bony enlargements (n=717) at baseline and examined whether ultrasound-detected osteophytes predicted incident radiographic OA (KLG ≥1, osteophytes or joint space narrowing (JSN)) or incident clinical bony enlargement (dependent variables) in the same joints 5 years later. …”
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Prediction of biochemical prostate cancer recurrence from any Gleason score using robust tissue structure and clinically available information by Laura E. Marin, Daniel I. Zavaleta-Guzman, Jessyca I. Gutierrez-Garcia, Daniel Racoceanu, Fanny L. Casado

“…Our results provide a robust, cost-efficient approach using already available information to predict the risk of BCR.…”
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Predicting hydropower generation: A comparative analysis of Machine learning models and optimization algorithms for enhanced forecasting accuracy and operational efficiency by Chunyang Wang, Chao Li, Yudong Feng, Shoufeng Wang

“…The framework is designed to tackle challenges in the prediction of hydropower generation by effectively managing complex, multivariate data. …”
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A Novel Hybrid GCN-LSTM Algorithm for Energy Stock Price Prediction: Leveraging Temporal Dynamics and Inter-Stock Relationships by Babak Amiri, Amirali Haddadi, Kosar Farajpour Mojdehi

“…Energy stock price prediction is a pivotal challenge in financial forecasting, characterized by high volatility and complexity influenced by geopolitical factors, regulatory shifts, and sector-specific issues. …”
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Remnant cholesterol and its variability independent of low density lipoprotein cholesterol predict metabolic dysfunction associated steatotic liver disease by Yuting Sun, Xinlei Miao, Manling Hu, Xiaoling Xie, Shuang Liu, Ziping Song, Jiayi Deng, Fei Xu, Meng Li, Yangxuan He, Song Leng

“…Abstract This study aimed to determine whether remnant cholesterol (RC) and its variability can predict the onset of metabolic dysfunction-associated steatotic liver disease (MASLD) independently of low-density lipoprotein cholesterol (LDL-C) levels. …”
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A prediction nomogram for residual after negative pressure aspiration for endogenic cesarean scar ectopic pregnancy: a retrospective study by Yan Lei, Na Zhang, Yu Liu, Xin Du

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Study of Predictive Value of Middle Ear Risk Index on Hearing Improvement in Patients Undergoing Surgery for Chronic Suppurative Otitis Media by Bipin Kishore Prasad, Nitya Singh, Ramesh AV

“… Introduction: Middle ear risk index is one of the most reliable measuring tools to predict and evaluate the results of tympanoplasty. …”
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An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization by Shuai Wan, Shipan Li, Zheng Chen, Yunchao Tang

“…This study proposes an Ultrasonic-AI Hybrid Approach for predicting void defects in concrete-filled steel tubes (CFST). …”
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Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019 by Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, Abraham Dessie Gessesse, Gebeyehu Fassil Gebeyehu, Kalkidan Kassahun Aweke, Mikiyas Birhanu Ejigu, Mathias Amare Sendeku, Kirubel Adrissie Barkneh, Hasset Girma Demissie, Wubshet D. Negash, Birku Getie Mihret

“…Due to that this study aimed to predict short birth interval and associated factors among women (15–49) in Ethiopia using ensemble learning algorithms. …”
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Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder by Yilu Zhao, Zhao Fu, Eric J. Barnett, Ning Wang, Kangfuxi Zhang, Xuping Gao, Xiangyu Zheng, Junbin Tian, Hui Zhang, XueTong Ding, Shaoxian Li, Shuyu Li, Qingjiu Cao, Suhua Chang, Yufeng Wang, Stephen V. Faraone, Li Yang

“…Then, DL models were constructed to predict percentage changes in symptom scores using genetic variants selected based on four different genome-wide P thresholds (E-02, E-03, E-04, E-05) as inputs. …”
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Establishing a radiomics model using contrast-enhanced ultrasound for preoperative prediction of neoplastic gallbladder polyps exceeding 10 mm by Dong Jiang, Yi Qian, Yijun Gu, Ru Wang, Hua Yu, Zhenmeng Wang, Hui Dong, Dongyu Chen, Yan Chen, Haozheng Jiang, Yiran Li

“…The current practice, due to the inability to predict accurately, leads to excessive surgeries and ineffective follow-ups, increasing patient risks and medical burdens. …”
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Optimizing petrophysical property prediction in fluvial-deltaic reservoirs: a multi-seismic attribute transformation and probabilistic neural network approach by Muhammad Khan, Andy Anderson Bery, Yasir Bashir, Sya’rawi Muhammad Husni Sharoni, Joseph Gnapragasan, Qazi Sohail Imran

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