Human_SNP_TATAdb: a database of SNPs that statistically significantly change the affinity of the TATA-binding protein to human gene promoters: genome-wide analysis and use cases by S. V. Filonov, N. L. Podkolodnyy, O. A. Podkolodnaya, N. N. Tverdokhleb, P. M. Ponomarenko, D. A. Rasskazov, A. G. Bogomolov, M. P. Ponomarenko

“…The method showed a high correlation of theoretical predictions with measured values during repeated experimental testing by independent groups of researchers. …”
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Relative Fat Mass and Physical Indices as Predictors of Gallstone Formation: Insights From Machine Learning and Logistic Regression by Deng L, Wang S, Wan D, Zhang Q, Shen W, Liu X, Zhang Y

“…To develop our predictive model, we employed four algorithms—Logistic Regression, Gaussian Naive Bayes (GNB), Multi-Layer Perceptron (MLP), and Support Vector Machine (SVM). …”
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The relationship between C-reactive protein to lymphocyte ratio and the prevalence of chronic kidney disease in US adults: a cross-sectional study by Pengfei He, Jiao Zhang, Ni Tian, Yuanyuan Deng, Min Zhou, Cheng Tang, Yu Ma, Mianzhi Zhang, Mianzhi Zhang

“…The receiver operating characteristic curve demonstrated that the area under the curve for CLR in predicting CKD was 0.653 (95% CI, 0.641–0.665). The optimal cutoff value was 0.856, with a sensitivity of 0.703, specificity of 0.526, positive predictive value of 0.874, and negative predictive value of 0.275. …”
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Prognostic correlation analysis of multiple myeloma based on HALP score of peripheral blood before chemotherapy by CHEN Min, AN Liying, LIN Xiaojing, ZHAO Pan, ZOU Xingli, WEI Jin, NI Xun

“…[Objective] To explore the predictive value of HALP score for prognosis in patients with multiple myeloma (MM). …”
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Clinical analysis of risk factors for diarrhea associated with enteral nutrition in post-craniocerebral surgery patients by Lei Zhang, Lulu Zhang, Xiaojie Zhu, Leiming Xu, Lin Zhu, Hai Zhou, Shengkai Yang

“…A diagnostic nomogram based on these two variables was developed to predict the probability of diarrhea in postoperative craniocerebral surgery patients receiving EN. …”
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Risk factors for growth retardation in children with juvenile idiopathic arthritis: a case-control study by Ying Zhang, Liping Song, Weihu Ma, Ye Wang, Peipei Wang, Xiaolin Zhang, Zhe Zhang, Yuan Zhang, Qianhui Yu, Yang Yu, Lin Zhang

“…While each of these factors demonstrates moderate predictive value individually, their combined consideration significantly improves predictive accuracy. …”
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Relationship Between Serum HMGB1 and RAGE Levels and Restenosis in Type 2 Diabetes Mellitus Patients Complicated With Lower Extremity Vascular Disease: A Retrospective Study by Jia T, Zhang X, Li L, Jiang X, Wang M

“…A Pearson correlation and multivariate Logistic regression were used to identify factors influencing restenosis. A predictive nomogram was built based on the identified factors. …”
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Validation of a Novel Low-Cost Glaucoma Risk Calculator for Community-Based Screening in High-Risk Populations by Grimes K, Madu CT, Carrington C, Laroche D

“…The Laroche glaucoma calculator had a sensitivity of 93.5% (CI 89.1– 96.5%), specificity of 91.3% (CI 88.5– 93.6%), positive predictive value of 80.5% (CI 75.7– 84.6%), negative predictive value of 97.3% (CI 95.5– 98.4%) and accuracy of 91.9% (CI 89.6– 93.8%).Conclusion: The Laroche glaucoma calculator shows high sensitivity, specificity, positive predictive value, negative predictive value, and accuracy using affordable screening methods to determine glaucoma risk.Keywords: glaucoma risk calculator, affordable glaucoma screening, glaucoma screening tools, community-based glaucoma study, Laroche glaucoma calculator, eye screening…”
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A study of impulsivity and adverse childhood experiences in a population health setting by Robert W. Read, Karen A. Schlauch, Gai Elhanan, Iva Neveux, Stephanie Koning, Takesha Cooper, Takesha Cooper, Joseph J. Grzymski, Joseph J. Grzymski

“…Additionally, lifetime predicted probability of MDD was approximately 40% higher for high ACEs and high impulsivity compared to no ACEs and low impulsivity. …”
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Relationship of monocyte to high-density lipoprotein ratio (MHR) and other inflammatory biomarkers with sarcopenia: a population-based study by Zhiwei Xue, Jian Cao, Jianhui Mou, Rui Wang, Peng Liu

“…MHR outperforms SII, NLR, and NHHR in predicting sarcopenia.…”
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Exploring the Link between Financial Reporting Models and Earnings Characteristics among Tehran Stock Exchange Listed Companies by Roya Amiri, Ali Ashtab, Mahdi Heydari

“…More than the final earnings figure, they refer to the items that make up real earnings, usefulness in predicting future earnings, as well as the stability, sustainability, and immutability of reported earnings. …”
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The prevalence of small airways disease and association with handgrip strength in young Hispanic farmworkers by Yutong Dong, Pam Cromer, Debbie Layman, Michelle Altvater, Yanbin Dong, Haidong Zhu

“…SAD was defined as forced expiratory flow at 25–75% predicted of vital capacity (FEF25-75%predicted) ≤ 60% per literature and OLD defined as forced expiratory volume in 1 s/ forced vital capacity (FEV1/FVC) ratio < 70% per Global Initiative for Chronic Obstructive Lung Disease criteria. …”
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Nonhomogeneous Markov chains for degeneration behaviour of RC members’ durability and its Bayesian updating by Ruiqi Guo, Dengguo Li, Guoxin Chen, Yu Jin, Hui Li, Yuanpeng Zhang

“…Manuscript uses a simulated case study and a real case study to illustrate the application process of the proposed method and to examine the predictive performance of the model. The results indicate that the updated model predictions envelop both the predictions from the prior model and the actual state assessment results, effectively integrating common understanding with individualized information.…”
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Association between geriatric nutritional risk index and overactive bladder in the elderly population: a cross-sectional study by Wei Zheng, Wei Zheng, Chuanzan Zhou, Jia Miao, Yunkai Yang, Xuanhan Hu, Heng Wang, Xinyu Zhang, Qi Zhang, Yifan Wang

“…Influencing factors were assessed through subgroup analyses, while the predictive utility of GNRI was assessed with receiver operating characteristic (ROC) curves. …”
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Performance of HPV16/18 in Triage of Cytological Atypical Squamous Cells of Undetermined Significance by Xiaoqin Cao, Shuzheng Liu, Manman Jia, Hongmin Chen, Dongmei Zhao, Bing Dong, Zhen Guo, Lingyan Ren, Shaokai Zhang, Xibin Sun

“…Performance characteristics of HPV test (sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) for identification of cervical intraepithelium neoplasma (CIN) grade 2 or worse (CIN2+), and CIN grade 3 or worse (CIN3+)) were determined using standard statistical tests. …”
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Placental Cannabinoid Receptor Expression in Preterm Birth by Stepan Feduniw, Izabela Krupa, Katarzyna Łagowska, Piotr Laudański, Jacek Tabarkiewicz, Barbara Stawarz, Grzegorz Raba

“…The decreased expression of CBRs could serve as an indicator in predicting PTB.…”
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Bioethanol production from water hyacinth with isolated thermophilic microbial consortium from Kenya by Deffar, Selamawit Shiferaw, Kumar, Anil, Muliwa, Anthony, Pili, Njira Njira, Omara, Timothy

“…The optimized factors were inoculum dose (8.1%, v/v), temperature (48.8 °C) and time (52.3 h) which resulted into 7.2 g/L of predicted bioethanol concentration. In the experimental run, 7.7 g/L of ethanol was produced, which is close to the predicted value.…”
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Developing a recommender system for the health tourism industry using data mining methods by reza molaee fard

“…In this research, a new method is presented to improve the recommendation systems in the field of health tourism, which can make accurate predictions by using participatory filtering and by using the points that previous tourists have given to places and health professionals in our country. …”
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SIMULATION AND ANALYSIS OF CRACKING EXHAUST PIPE FOR SINGLE-CYLINDER DIESEL ENGINE by ZHANG HuaBing, LI LiTing, MIAO WeiChi, JIAO YaFei, LIANG Gang, QIAO XinQi

“…Fatigue safety factor of original and support improved is 1.06 and 1.6, respectively. The predicted results agree well with measurements.…”
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Deciding which is the best ${}^1\protect \text{H}$ NMR predictor for organic compounds using statistical tools by Mah, Wern Huay, Ahmad Nazuan, Nadzran Hafiy, Yeap, Wei Sheung, Fakharudin, Farah Hasyeena, Faye, Ibrahima, Wilfred, Cecilia Devi

“…${}^1\text{H}$ NMR chemical shifts for 30 organic compounds (396 data points) were predicted using four NMR predictor software and compared with the experimental data from SDBS. …”
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