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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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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Development of Predictive Models for Progression from Diabetic Kidney Disease to End-Stage Renal Disease in Type 2 Diabetes Mellitus: A Retrospective Cohort Study by Hu H, Mu X, Zhao S, Yang M, Zhou H

“…Among 85 patients with biopsy-proven diabetic DKD, the combined prognostic model integrating KFRE, interstitial fibrosis and tubular atrophy (IFTA), SII and BMI demonstrated enhanced predictive ability at 5 years. The developed models offer improved accuracy over existing methods by incorporating renal pathology and novel inflammatory indices, making them more applicable in clinical settings.Conclusion: The predictive model proved to be effective in assessing the progression of DKD to ESRD. …”
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Assessment of stress hyperglycemia ratio to predict all-cause mortality in patients with critical cerebrovascular disease: a retrospective cohort study from the MIMIC-IV database by Yuwen Chen, Jian Xu, Fan He, An’an Huang, Jie Wang, Bingchen Liu, Qucheng Wei

“…This study aims to investigate the predictive ability of SHR for in-hospital mortality in critically ill cerebrovascular disease patients and to assess its potential to enhance existing predictive models. …”
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Multimodal mismatch responses in mouse auditory cortex by Magdalena Solyga, Georg B Keller

Subjects: “…predictive processing…”
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Unraveling the heterogeneity of WHO grade 4 gliomas: insights from clinical, imaging, and molecular characterization by Haihui Jiang, Xijie Wang, Xiaodong Chen, Shouzan Zhang, Qingsen Ren, Mingxiao Li, Ming Li, Xiaohui Ren, Song Lin, Yong Cui

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Digital twins in dermatology: a new era of personalized skin care by Diala Haykal

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Prognostic value of serum inflammatory markers in patients with esophageal squamous cell carcinoma undergoing surgery: a two-center retrospective cohort study by Yaqin Dong, Fan Wang, Jiaying Deng, Tong Tong, Xiangxun Chen, Liming Wu, Yichun Wang, Mei Kang, Yutong Xu, Guangjie Shi, Liyang Zhu

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Support Vector Regression and Beta Distribution for the Modeling of Incumbent Party vote for Presidential Elections by R., Kikawa, M, N. Ngungu, D., Ntirampeba, A., Ssematimba

Subjects: “…Proportions,Time series data, Predictions, Regression, Support Vector Machine…”
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Forecasting Dissolved Organic Carbon Levels Utilizing Metaheuristic Optimization with Artificial Intelligence Techniques by Peng He, Chengjun Ma

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Multi-omics analysis reveals the sensitivity of immunotherapy for unresectable non-small cell lung cancer by Rui Wu, Kunchen Wei, Xingshuai Huang, Yinge Zhou, Xiao Feng, Xin Dong, Hao Tang

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Estimating regional shared trailer demand in drop-and-pull transport by Mei Feng, Qianwei Peng, Zhixue Zhao

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A Fourfold Bi-Filter and Permuted Bi-Quad-Wrapper Feature Selection Method for Finding Optimal Moments of Multi-Trajectory Transient Records in Transient Analysis by Seyed Alireza Bashiri Mosavi, Omid Khalaf Beigi

Subjects: “…transient stability prediction…”
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Performance of emergency triage prediction of an open access natural language processing based chatbot application (ChatGPT): A preliminary, scenario-based cross-sectional study by İbrahim Sarbay, Göksu Bozdereli Berikol, İbrahim Ulaş Özturan

“…When trained with more medical knowledge, ChatGPT may be more accurate for other triage category predictions.…”
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An analysis of observed and predicted extreme heat and precipitation trends across four pulse producing regions in North America: North Dakota, Montana, Saskatchewan, and Northeastern United States by Sophia Weiss, Erin Coughlan de Perez

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Left atrial strain predicts paroxysmal atrial fibrillation recurrence after catheter ablation: a 1-year study using three-dimensional speckle-tracking echocardiography by Rui Zhang, He Li, Yan Wang, Tianle Yu, Jiacheng Li, Yumeng Wu, Zhiwen Yu, Cuixing Liang, Dan Yu, Li Xue

“…The objective of this study was to assess alterations in three-dimensional strains and predict recurrence in patients with PAF following RFCA. …”
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Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the China health and retirement longitudinal study (CHARLS) by Qing Huang, Zihao Jiang, Bo Shi, Jiaxu Meng, Li Shu, Fuyong Hu, Jing Mi

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Predicting the hub interactome of COVID-19 and oral squamous cell carcinoma: uncovering ALDH-mediated Wnt/β-catenin pathway activation via salivary inflammatory proteins by Pradeep Kumar Yadalam, Deepavalli Arumuganainar, Prabhu Manickam Natarajan, Carlos M. Ardila

“…Abstract Understanding shared pathways and mechanisms involved in the pathogenesis of diseases like oral squamous cell carcinoma (OSCC) and COVID-19 could lead to the development of novel therapeutic strategies and diagnostic biomarkers. This study aims to predict the interactome of OSCC and COVID-19 based on salivary inflammatory proteins. …”
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Can physical and psychological factors predict pain recurrence or an exacerbation of persistent non-specific low back pain?... by Deborah Falla, Michael Mansfield, Janet Deane, Kanya Wongwitwichote, Cho Wai Geoffrey Yu

“…The results will identify the ability of physical and/or psychological factors to predict pain recurrence or acute exacerbation in case of persistent non-specific LBP.Ethics and dissemination This study protocol does not present any ethical concerns. …”
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