Predictive value of early MoCA score combined with serum S100 protein and 25⁃hydroxyvitamin D3 levels on secondary cognitive dysfunction in patients with cerebral infarction by CHEN Yan，LIU Hui，YAN Manyun，ZHUO Ziliang，ZHAO Zongbo

“…Early MoCA scores combined with serum S100 protein and 25（OH）D3 measurements have certain predictive value for secondary cognitive dysfunction in these patients. …”
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Prognostic value of FOXA1 in patients with Т1–2N0M0 breast cancer by R. M. Paltuev, A. G. Kudaybergenova, V. F. Semiglazov, A. V. Komyakhov, A. I. Tseluyko

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The comparison of the prognostic value of different inflammation-related indicators in patients with oral squamous cell carcinoma by Aoming Cheng, Kaixiong Wei, Qiaoshi Xu, Chong Wang, Bo Li, Huan Liu, Lirui Zhang, Hanchen Zhou, Yu Huang, Yiming Zhang, Xue Zhang, Hao Wang, Chang Liu, Teng Ma, Jingrui Li, Zhengxue Han, Zhien Feng

“…In age-stratified analyses, ALI and PNI also emerged as independent predictors of OS for patients <60 years time-dependent ROC, which ALI demonstrated the best predictive performance for short-term postoperative prognosis (area under the curve (AUC) = 0.74).ConclusionALI and PNI are valuable prognostic indicators in the short term after surgery for young male patients under 60 years old with OSCC.…”
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Development of Bankruptcy Prediction Model for Latvian Companies by Arnis Stasko, Ilze Birzniece, Girts Kebers

“…The results show that Altman’s Z-score method predicts bankruptcy for a massive number of companies, while the ML method predicts bankruptcy for only a few. …”
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Conspiracy beliefs predict perceptions of procedural justice by Svenja B. Frenzel, Lotte Pummerer, Sonja Utz, Kai Sassenberg

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Prediction of pulmonary air leak after lobectomies by A. L. Akopov, A. S. Agishev, R. P. Mishra, M. G. Kovalev, E. V. Parshin, S. Yu. Dvoreckiy, Z. A. Zaripova, Yu. D. Rabik, R. D. Skvortsova, A. A. Obukhova

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Research on engineering cost prediction based on similarity by Xue Ping Jia, Yong Zhi Liu

“…Abstract To address the issues of inaccurate predictions and computational complexity in the rapid quotation process for construction projects, this paper proposes a method for construction cost prediction based on Vague similarity(VS). …”
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Real-Time Data Extraction and Prediction of Cryptocurrency by Sanika Chavan, Jahnavi Gundakaram, Sai Dyuti Vaishnavi, Srishti Prasad, K. Deepa

“…This paper presents an innovative approach that integrates web scraping from cryptocurrency websites with various deep-learning networks to predict cryptocurrency values for the following day. …”
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Dimensionless parameter predicts bacterial prodrug success by Brandon Alexander Holt, McKenzie Tuttle, Yilin Xu, Melanie Su, Joachim J Røise, Xioajian Wang, Niren Murthy, Gabriel A Kwong

“…We observe that prodrug failure occurs at BAH values above the same critical threshold predicted by the model. …”
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Advanced predictive analytics for bio-waste management using YOLOv8-SPP to enhance waste prediction and sustainability in smart cities by Selvalakshmi Balasubramanium, Bharathiraja Nagu, Shonak Bansal, Mohammad Rashed Iqbal Faruque, Kholoud Saad Al-mugren

“…This research suggests a new predictive analytics model using the YOLOv8-SPP algorithm for improved waste management. …”
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Cyclic dual latent discovery for improved blood glucose prediction through patient–provider interaction modeling: a prediction study by Suyeon Park, Seoyoung Kim, Dohyoung Rim

“…The CDLD model uses a cyclic training mechanism that alternately updates patient and provider latent representations to optimize predictive performance. During preprocessing, all numeric features were normalized, and extreme glucose values were capped at 500 mg/dL to mitigate the effect of outliers. …”
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Predictive model on employee stock ownership impacting corporate performance by Yiping Huang, Shixin Huang, Xiangjian Chen

“…In this study, with the idea of combining AI and accounting, we constructed a prediction model of the impact of ESOPs on enterprise performance that integrates language modeling and social sentiment mass data analysis, and introduced the prediction model to analyze the long-term, dynamic and nonlinear impact of ESOPs on enterprises; finally, we constructed an explainable AI (XAI) based on the LSTM model, and used the SHAP value method to explain the impact of ESOPs on enterprise performance. …”
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Prediction of 1-year post-operative mortality in elderly patients with fragility hip fractures in China: evaluation of risk prediction models by Qiyuan Lu, Mengmeng Chen, Houfu Ling

“…This study systematically evaluates the predictive capacity of seven risk stratification models for 12-month postoperative mortality in geriatric patients with fragility hip fractures, while concurrently assessing their risk classification accuracy to inform perioperative protocol formulation, rehabilitation strategies, and prognostic management.IntroductionCurrent clinical practice lacks standardized criteria for mortality risk prediction in elderly fragility hip fracture patients. …”
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A study on the optimal design of isothermal experiments in predictive microbiology by Alba Muñoz del Río, Víctor Casero-Alonso, Mariano Amo-Salas

“…Abstract This study addresses from the Optimal Experimental Design perspective the use of the isothermal experimentation procedure to precisely estimate the parameters defining models used in predictive microbiology. Starting from a case study set out in the literature, and taking the Baranyi model as the primary model, and the Ratkowsky square-root model as the secondary, D- and c-optimal designs are provided for isothermal experiments, taking the temperature both as a value fixed by the experimenter and as a variable to be designed. …”
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New Predictive Factors in the Development of Type 2 Diabetes Mellitus by Maurio González Hernández

“…<strong><br />Conclusions:</strong> among the new predictive factors for the development of type 2 diabetes mellitus are: the value of microalbuminuria, periodontal disease, sensitivity disorders in the lower limbs, a pathological history of hypothyroidism and eye fundus alterations.…”
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Action plan on sustainability of fight against tax fraud and tax evasion: EU countries comparison by Ján Dobrovič, Rastislav Rajnoha, Iveta Voznakova, Petra Pártlová

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Aggressiveness Traits as Predictive Factors for the Components of the Wellbeing of Young People by Artur A. Rean, Andrey O. Shevchenko, Alexey A. Stavtsev, Ivan A. Konovalov, Roman G. Kuzmin

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Fulminant necrotizing enterocolitis: clinical features and a predictive model by Xiaoyu Chen, Yuqiao Li, Yuhan Liu, Tianjing Liu, Yongyan Shi

“…Abstract Background To develop and validate a nomogram model for predicting the risk of fulminant necrotizing enterocolitis (fNEC) in infants with NEC and to summarize the clinical features of fNEC. …”
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The Predictive Power of the Cystatin C‐Creatinine Score in Assessing Frailty by Li Deng, Xin Zheng, Yue Chen, Chenan Liu, Jinyu Shi, Zhaoting Bu, Xiaoyue Liu, Hong Zhao, Shuqun Li, Bing Yin, Siyu Xing, Hanping Shi

“…In the validation set, the AUC values of the Cystatin C‐Creatinine Score for predicting frailty and all‐cause mortality reached 0.701 and 0.713, respectively. …”
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The value of diffusion-weighted imaging and semi-quantitative dynamic contrast-enhanced MRI in predicting the efficacy of medroxyprogesterone acetate treatment for atypical endometrial hyperplasia and endometrial carcinoma by Mingming Liu, Xingzheng Zheng, Na Mo, Yang Liu, Erhu Jin, Yuting Liang

“…ADC values and TIC curve types can be imaging markers for predicting complete remission of EC.…”
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