Lichen Planus-Like Exanthema Induced by Anti-PD-1 and Anti-LAG-3 Combination Immunotherapy Could Potentially Predict the Treatment Response in Metastatic Melanoma by Marek Pasek, Eva Sticová, Emanuel Marques, Vojtěch Tretera, Petr Arenberger, Monika Arenbergerová

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3D-AttenNet model can predict clinically significant prostate cancer in PI-RADS category 3 patients: a retrospective multicenter study by Jie Bao, Litao Zhao, Xiaomeng Qiao, Zhenkai Li, Yanting Ji, Yueting Su, Libiao Ji, Junkang Shen, Jiangang Liu, Jie Tian, Ximing Wang, Hailin Shen, Chunhong Hu

“…Deep learning models with double channel attention modules based on MRI (AttenNet) for predicting PCa and csPCa were constructed separately. …”
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Enhanced Hyperspectral Forest Soil Organic Matter Prediction Using a Black-Winged Kite Algorithm-Optimized Convolutional Neural Network and Support Vector Machine by Yun Deng, Lifan Xiao, Yuanyuan Shi

“…This study uses 206 hyperspectral soil samples from the state-owned Yachang and Huangmian Forest Farms in Guangxi, using the SPXY algorithm to partition the dataset in a 4:1 ratio, to provide an effective spectral data preprocessing method and a novel SOM content prediction model for the study area and similar regions. …”
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Predicting risk factors for Epstein-Barr virus reactivation using Bayesian network analysis: a population-based study of high-risk areas for nasopharyngeal cancer by Zhiwen Zeng, Kena Lin, Xueqi Li, Xueqi Li, Tong Li, Xiaoman Li, Jiayi Li, Zule Ning, Qinxian Liu, Shanghang Xie, Sumei Cao, Sumei Cao, Jinlin Du

“…Model prediction performance was evaluated using the test dataset. …”
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Retracted: Cortical Plasticity Mechanism and Efficacy Prediction of Repeated Transcranial Magnetic Stimulation in the Treatment of Depression with Continuous Short Bursts of Rapid Pulse Stimulation (cTBS) by Mediators of Inflammation

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Tissue Doppler echocardiography predicts long-term cardiovascular mortality: the Anglo-Scandinavian Cardiac Outcomes Trial (ASCOT) legacy 20-year follow-up study by Simon Thom, Alice Stanton, Jamil Mayet, Amit Kaura, Darrel Francis, Anoop SV Shah, Andrew Sharp, Alun D Hughes, Neil R Poulter, Anenta Ratneswaren, Tong Wu, Somayeh Rostamian, Devan Wasan, PS Sever

“…Background Left ventricular diastolic function as assessed by tissue Doppler echocardiography predicts cardiovascular event rates at 4 years of follow-up in patients with hypertension. …”
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Predictive Validity of Hospital-Associated Complications of Older People Identified Using Diagnosis Procedure Combination Data From an Acute Care Hospital in Japan: Observational Study by Seigo Mitsutake, Tatsuro Ishizaki, Shohei Yano, Takumi Hirata, Kae Ito, Ko Furuta, Yoshitomo Shimazaki, Hideki Ito, Alison Mudge, Kenji Toba

“…ConclusionsThis study demonstrated the predictive validity of the HAC-OP-DPC measure for longer LOS and discharge to other hospitals and LTCFs. …”
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Clinical treatment score Post-5 Years (CTS5) predicts the benefit of postmastectomy radiotherapy in patients with T1-2N1 luminal breast cancer by Ke Liu, Guan-Qiao Li, Si-Qi Li, Xue-Qin Chen, San-Gang Wu

“…Purpose: To investigate the clinical value of Clinical Treatment Score Post-5 Years (CTS5) to predict the survival benefits of postmastectomy radiotherapy (PMRT) of patients with T1-2N1 luminal breast cancer (BC). …”
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Predicting intracerebral hemorrhage after endovascular therapy for anterior circulation strokes using CT-ASPECT, CTP-ASPECT and DWI-ASPECT: Protocol for a systematic review. by Vincent Brissette, Chirayu Bhatt, Brian Dewar, Risa Shorr, Jordi Pardo, Robert Fahed, Michel Shamy, Dar Dowlatshahi

“…The ASPECT score is used globally to predict patients' prognosis post-reperfusion therapy. …”
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Predicting Factors Affecting the Behavior of Healthcare Employees in the Use of Personal Protective Equipment During Epidemics Based on Godin et al’s Model: A Study in Iran by Milad Ahmadi Marzaleh, Peivand Bastani, Abolfazl Raeyat Mohtashami, Payam Farhadi, Saeed Ghanbari, Ramin Ravangard

“…This study aimed to predict factors affecting the healthcare employees’ behavior in the use of PPE at Shiraz University of Medical Sciences in Iran, based on Godin et al’s model. …”
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Combination of APACHE Scoring Systems with Adductor Pollicis Muscle Thickness for the Prediction of Mortality in Patients Who Spend More Than One Day in the Intensive Care Unit by Elahe Nematifard, Seyed Hossein Ardehali, Shaahin Shahbazi, Hassan Eini-Zinab, Zahra Vahdat Shariatpanahi

“…The accuracy of the two composite models and APACHE II and III systems in predicting mortality of patients was compared using the area under the ROC curve. …”
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Wear Behavior Analysis and Gated Recurrent Unit Neural Network Prediction of Coefficient of Friction in Al10Cu-B₄C Composites by Mihail Kolev, Ludmil Drenchev, Veselin Petkov, Rositza Dimitrova, Krasimir Kolev, Boris Yanachkov

“…To further analyze and predict the tribological performance, a Gated Recurrent Unit neural network was developed to predict COF values. …”
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Apply Woods Model in the Predictions of Ambient Air Particles and Metallic Elements (Mn, Fe, Zn, Cr, and Cu) at Industrial, Suburban/Coastal, and Residential Sampling Sites by Guor-Cheng Fang, Ci-Song Huang

“…As for ambient air particles, the results indicated that the Woods model generated the most accurate dry deposition prediction results when particle size was 18 μm in this study. …”
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Comparative analysis of visible and near-infrared (Vis-NIR) spectroscopy and prediction of moisture ratio using machine learning algorithms for jujube dried under different conditions by Seda Günaydın, Necati Çetin, Cevdet Sağlam, Kamil Sacilik, Ahmad Jahanbakhshi

“…Then, characteristics, such as color, spectral reflectance, vegetation indices (VIs), rehydration rate (RR), drying kinetics, moisture ratio (MR), and moisture content (MC) were measured and compared after using the above-mentioned drying methods. Also, the MR was predicted by the MC, and the drying rate (DR), drying times, and final thickness were predicted using the multi-layer perceptron (MLP), gaussian process (GP), k-nearest neighbors (KNN), random forest (RF), and support vector regression (SVR) algorithms. …”
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Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based data by Yue Yang, Shang Li, Xiao Zhu, Yi Kong, Mingtao Zhang, Xiangping Liang, Zherui Zhang, Shuzhen Tan, Yingqi Li, Yueyuan Zhong, Yingqi Shao, Jiayi Xu, Zesong Li

“…However, patients with lymphocyte-depleted HL were of poor prognosis.Conclusions The nomogram we constructed could better predict the prognosis of patients with HL. Patients with HL had good long-term outcomes but novel therapies are still in need for fewer complications.…”
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Harnessing Machine Learning and Nomogram Models to Aid in Predicting Progression-Free Survival for Gastric Cancer Patients Post-Gastrectomy with Deficient Mismatch Repair(dMMR) by Yifan Li, JinFeng Ma, Wenhua Cheng

“…Abstract Objective To assess the effectiveness of a machine learning framework and nomogram in predicting progression-free survival (PFS) post-radical gastrectomy in patients with dMMR. …”
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Corrigendum for “Development of a machine learning-based model to predict hepatic inflammation in chronic hepatitis B patients with concurrent hepatic steatosis: a cohort study” by Fajuan Rui, Jie Li

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Sensitivity Analysis with the Monte Carlo Method and Prediction of Atenolol Removal Using Modified Multiwalled Carbon Nanotubes Based on the Response Surface Method: Isotherm and Kinetics Studies by Mohammad Mehdi Amin, Nasrin Bagheri, Farzaneh Mohammadi, Bahare Dehdashti

“…In the present study, the response surface method (RSM) was used for adsorption prediction of ATN on modified multiwalled carbon nanotubes (M-MWCNTs) by NaOCl and ultrasonic. …”
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Hypertriglyceridemic Waist Phenotype and Lipid Accumulation Product: Two Comprehensive Obese Indicators of Waist Circumference and Triglyceride to Predict Type 2 Diabetes Mellitus in Chinese Population by Minrui Xu, Mingtao Huang, Deren Qiang, Jianxin Gu, Yong Li, Yingzi Pan, Xingjuan Yao, Wenchao Xu, Yuan Tao, Yihong Zhou, Hongxia Ma

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Predictive value of bedside diaphragmatic ultrasonography for extubation success in critically ill patients after general anaesthesia: A meta-analysis with trial sequential analysis (TSA) by Lan Ma, Na Zhou, Kaiming Yuan, Zihao Xue, Kai Lv, Jingying Huang

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