Predictive value of miR-637 for the occurrence of myocardial hypertrophy in patients with hypertension by Shenglan Zou, Xiaomin Li, Xueya Liu, Fei Sun

“…Logistic analysis was used to evaluate the risk factors associated with hypertension with myocardial hypertrophy. …”
Get full text

Predictive factors for failure in patients with N1b papillary thyroid carcinoma by Margulis Itai, Gordon Yonathan, Stein Nili, Doweck Ilana

“…Abstract Background This study aimed to evaluate predictive factors for failure in patients with N1b papillary thyroid carcinoma. …”
Get full text

Limited predictive value of traditional comorbidities for readmission in acute decompensated heart failure. by Gil Marcus, Antoinette Monayer, Gil Moravsky, Shmuel Fuchs, Avishay Grupper, Eran Kalmanovich, Sa'ar Minha

“…<h4>Background</h4>Common comorbidities in heart failure (HF), including chronic kidney disease (CKD), diabetes mellitus (DM), ischemic heart disease (IHD), and atrial fibrillation, are frequently presumed to predict hospital readmission. However, recent studies have challenged their predictive strength, raising questions about their clinical utility for risk stratification.…”
Get full text

Predictive instrument for rupture of intracranial aneurysms in patients from Sancti Spiritus, Cuba by Jorge Félix Companioni Rosildo, Gretel Mosquera Betancourt, Carlos Rafael Sebrango Rodríguez, Juan Carlos Lage Barroso

“…Calibration and accuracy of the predictive instrument represented by a model and its nomogram were evaluated.…”
Get full text

Predictive Role of De Ritis Ratio in Biochemical Recurrence After Radical Prostatectomy by Kaan Karamık, Yasin Aktaş, Ali Yıldız, İbrahim Erol, Ekrem İslamoğlu, Mutlu Ateş, Taha Ölçücü, Kayhan Yılmaz, Murat Savaş

“…Aim:To analyze the role of De Ritis (aspartate aminotransferase/alanine aminotransferase) ratio in predicting biochemical recurrence (BCR) after radical prostatectomy (RP).Methods:We retrospectively evaluated 425 patients with localised prostate cancer who underwent RP from 2009 to 2018. …”
Get full text

Predictive and prognostic significance of loss of heterozygosity in ABC transporter genes in breast cancer by M. M. Tsyganov, M. K. Ibragimova, E. Yu. Garbukov, O. D. Bragina, E. A. Zdereva, E. A. Usynin, N. V. Litviakov

Get full text

Quantifying Suicide Risk in Prostate Cancer: A SEER-Based Predictive Model by Jiaxing Du, Fen Zhang, Weinan Zheng, Xue Lu, Huiyi Yu, Jian Zeng, Sujun Chen

“…Time-dependent ROC analysis indicated strong accuracy in predicting suicide risk. Calibration plots displayed high concordance between predicted probabilities and actual outcomes, Kaplan-Meier analysis confirmed the model’s significant discriminative ability among risk groups. …”
Get full text

Predictive modeling of air quality in the Tehran megacity via deep learning techniques by Abdullah Kaviani Rad, Mohammad Javad Nematollahi, Abbas Pak, Mohammadreza Mahmoudi

“…The present study aims to forecast the concentrations of various air pollutants, including CO, O3, NO2, SO2, PM10, and PM2.5, from 2013 to 2023 in the Tehran megacity, Iran, via deep learning (DL) models and evaluate their effectiveness over conventional machine learning (ML) methods. …”
Get full text

The Predictive Value of Preoperative Systemic Immune-Inflammation Index in Patients with Granulomatous Mastitis by Ouyang L, Qin J, Cui T, Tan Y

“…We aimed to investigate the potential predictive value of the SII in the prognosis of granulomatous mastitis (GM).Patients and Methods: We enrolled 245 patients with GM who underwent surgery between 2015 and 2020 in this study. …”
Get full text

Construction and validation of a predictive model for malignant tumors in patients with membranous nephropathy by Yaling Zhai, Shuaigang Sun, Wenhui Zhang, Huijuan Tian, Zhanzheng Zhao

“…All patients were randomly allocated into a training cohort (n = 584) and a validation cohort (n = 194) in a 3:1 ratio. A predictive model was developed using regression analysis, and its performance was evaluated in terms of discrimination, calibration, and clinical utility through the area under the ROC curve (AUC), calibration curve, and decision curve analysis (DCA). …”
Get full text

The predictive value of suPAR for glomerular segmental sclerosis lesions in renal pathology by Zurong Zhang, Chongbin Liu, Yachun Han, Daming Li, Yao Huang, Kewen Shi, Shiyu Xia, Jinying Wei, Hong Liu, Lin Sun, Xuejing Zhu, Shuguang Yuan

Get full text

Smart Farming: Enhancing Urban Agriculture Through Predictive Analytics and Resource Optimization by Eman Ali Aldhahri, Abdulwahab Ali Almazroi, Monagi Hassan Alkinani, Nasir Ayub, Elham Abdullah Alghamdi, Nourah Fahad Janbi

“…Optimal agricultural methods need precise crop health and ecological strain monitoring. …”
Get full text

The prognostic predictive value of indirect bilirubin-inflammation score in patients with nasopharyngeal carcinoma by JI Huojin, LI Jun, LUO Yonglin, QIN Weiling, YE Yinxin, CAI Yonglin

“…The nomogram, which integrated age, sex, clinical stage, and IBI score, demonstrated good clinical utility and predictive ability, as evaluated by the DCA. Significant interaction was found between IBIL and PLR, and inflammatory markers did not exhibit any medicating effects on the influence of IBIL on NPC survival. …”
Get full text

Development and validation of a predictive model for suicidal thoughts and behaviors among freshmen by Yan Qin, Sifang Niu, Xingmeng Niu, Yangziye Guo, Yu Sun, Shuzhang Hu, Fuqin Mu, Ying Zhang, Min Liu, Jianli Wang, Yan Liu

“…This study assessed the impact of prospective baseline variables on the risk of new STB onset among first-year university students over two years and developed a multivariate risk prediction model. Methods 4,560 first-year university students (38.4% males, mean age:18.34) from China participated and completed this prospective cohort study over a three-year period from 2018 to 2020. …”
Get full text

Advanced predictive machine and deep learning models for round-ended CFST column by Feng Shen, Ishan Jha, Haytham F. Isleem, Walaa J.K. Almoghayer, Mohammad Khishe, Mohamed Kamel Elshaarawy

“…A user-friendly, Python-based interface was also developed, enabling real-time predictions for practical engineering applications. …”
Get full text

Acoustic signatures of bulbar ALS: Predictive modeling with sustained vowels and LightGBM by Zahra Farrokhi, Seyed Amirali Zakavi, Arian Sarafraz, Maryam Valifard, Salar Yousefzadeh, Zahra Mashhadi Tafreshi, Omid Anbiyaee, Navid Rostami, Mahsa Asadi Anar, Niloofar Deravi

“…Model performance and feature importance were evaluated. Results: The model performed well with high predictability, yielding an RMSLE of 0.162 and most predictions closely correlating with actual diagnoses. …”
Get full text

Predictive biomarkers for cardiometabolic risk in postmenopausal women: insights into visfatin, adropin, and adiponectin by Anna Maria Cybulska, Daria Schneider-Matyka, Ireneusz Walaszek, Mariusz Panczyk, Dorota Ćwiek, Anna Lubkowska, Elżbieta Grochans, Kamila Rachubińska, Katarzyna Malewicz, Mariusz Chabowski, Mariusz Chabowski

“…Furthermore, circulating adiponectin positively correlated with HDL, and negatively with HOMA-IR.ConclusionsAdiponectin is a promising biomarker for predicting cardiometabolic risk in postmenopausal women.…”
Get full text

Validation of a predictive model for platelet transfusion refractoriness in patients with hematological diseases by HUANG Xiulan, YUE Shuhan, CAI Qun, LU Liqi, HE Mengzhen, LEI Qiao, LIU Caoyi, ZHANG Jingwei

“…The resulting PTR prediction model exhibits moderate predictive efficacy and clinical benefit.…”
Get full text

Establishment and validation of a predictive model for coronary artery lesions in children with KDSS by Zhihui Zhao, Yue Yuan, Lu Gao, Hongxia Li, Qirui Li, Zhen Zhen, Shunying Zhao, Yanyan Xiao

“…Logistic regression analysis was employed to identify the most predictive variables. Utilizing a training set (n = 72), we constructed a logistic regression model to predict CALs in children with KDSS. …”
Get full text

Predictive Value of Blood and Echocardiographic Indicators for Nonvalvular Atrial Fibrillation in Postmenopausal Women by Lei Song, Xiao‐Ping Shen, Jian‐Rong Cai, Hong‐Lei Zhang, Gui‐Ru Li, Jing Shi

“…ABSTRACT Objective To evaluate the association and predictive value of midregional pro‐atrial natriuretic peptide (MR‐proANP), bone morphogenetic protein (BMP‐7), and left atrial diameter (LAD) with nonvalvular atrial fibrillation (NVAF) in postmenopausal women. …”
Get full text