Predictive models for chemotherapy-induced oral mucositis: a systematic review by Yan Tao, Xiang Zeng, Hua Mao

“…ObjectiveTo critically appraise and synthesise existing risk prediction models for chemotherapy-induced oral mucositis (CIOM) in cancer patients, identifying their methodological strengths, limitations, and clinical utility to guide future model refinement.MethodsRelevant literature on CIOM risk prediction models published in PubMed, Cochrane Library, Embase, Web of Science, CNKI, Wanfang Data Knowledge Service Platform, VIP, and CBM was searched, covering the period from the inception of the databases to May 9, 2025. …”
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Predictive impact of serous retinal detachment in refractory diabetic macular edema by Zhuo-hua Zhou, Lu Zhao, Yan-ling Wang, Jia-lin Wang

“…Baseline morphological characteristics were evaluated and analyzed using optical coherence tomography. …”
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Development and validation of a predictive model for the risk of endocervical curettage positivity by Fang Feng, Hui-hui Tuo, Jin-meng Yao, Wei-hong Wang, Feng-lan Guo, Rui-fang An

“…Univariate and multivariate logistic regression analyses were used to identify predictive factors for ECC positivity. An individualized prediction model for ECC positivity risk was developed using R Studio, and the model was subsequently evaluated and validated.ResultsAmong the 953 women, the ECC positive rate was 31.48% (300/953). …”
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Predictive factors of cytomegalovirus seropositivity among pregnant women in Paris, France. by Dieynaba S N'Diaye, Yazdan Yazdanpanah, Anne Krivine, Thibaut Andrieu, Flore Rozenberg, Olivier Picone, Vassilis Tsatsaris, François Goffinet, Odile Launay

“…The objective of this study was to evaluate predictive factors for CMV seronegativity in a cohort of pregnant women in Paris, France.…”
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Comprehensive predictive model for cerebral microbleeds: integrating clinical and biochemical markers by Lijing Wang, Yao Li, Yadong Hu, Li Ling, Nan Jia, Yajing Chen, Yanan Meng, Ye Jiang, Ning Li

“…Key predictive factors such as Albumin/Globulin ratio, gender, hypertension, homocysteine levels, Neutrophil to HDL Ratio (NHR), and history of stroke were evaluated. …”
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Polygenic transcriptome risk scores enhance predictive accuracy in atopic dermatitis by Charalabos Antonatos, Ashley Budu-Aggrey, Alexandros Pontikas, Adam Akritidis, Efstathia Pasmatzi, Aikaterini Tsiogka, Stamatis Gregoriou, Katerina Grafanaki, Lavinia Paternoster, Yiannis Vasilopoulos

“…Abstract Background Incorporation of gene expression when estimating polygenic risk scores (PRS) in atopic dermatitis (AD) may provide additional insights in disease pathogenesis and enhance predictive accuracy. In this study, we developed polygenic transcriptome risk scores (PTRSs) derived from AD-enriched tissues and evaluated their performance against traditional PRS models and a baseline risk model incorporating eosinophil and lymphocyte counts in the prediction of AD. …”
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Correlation of focal neuroendocrine differentiation in prostate cancer with the parameters of predictive value by Mijović Milica, Ćorac Aleksandar, Smiljić Sonja, Savić Slađana, Mandić Predrag, Vitković Leonida, Leštarević Snežana, Janićijević-Hudomal Snežana

“…The incidence and clinical importance of FNED in PC is not clearly understood because of conflicting results in the studies, and evaluation of FNED is not routinely performed in clinical practice. …”
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Predictive role of preoperative parameters in LAMP outcomes for myelopathy caused by COPLL by Hao Yuan, Wei Lei, Wenping Li, Yunlong Zhou, Xufeng Jia, Daxiong Feng, Fei Lei

“…Binary logistic regression model analyses were used to evaluate predictive accuracy. Results A total of 84 patients were included in the study. …”
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GULP1 as a novel diagnostic and predictive biomarker in hepatocellular carcinoma by Hyung Seok Kim, Jung Hwan Yoon, Ji Yi Choi, Moon Gyeong Yoon, Geum Ok Baek, Minji Kang, Se Ha Jang, Won Park, Yunjin Go, Jestlin Tianthing Ng, Suk Woo Nam, Jee-Yeong Jeong, Ji Eun Han, Hyo Jung Cho, Su Bin Lim, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun

“…In this study, we aimed to identify the predictive gene signatures for HCC recurrence and evaluate the efficiency of GULP PTB domain-containing engulfment adaptor 1 (GULP1) as a predictive and diagnostic marker and therapeutic target for HCC. …”
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Predictive role of SLC1A5 in neuroblastoma prognosis and immunotherapy by Jian Cheng, Miaomiao Sun, Xiao Dong, Yang Yang, Xiaohan Qin, Xing Zhou, Yongcheng Fu, Yuanyuan Wang, Jingyue Wang, Da Zhang

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Accurate prediction of benign and malignant adnexal tumors in surgical resection and conservative treatment: construction and external validation of a diagnostic model based on CEU... by Chun Liu, Yi Zhu, Keju Dai, Bo Tan, Hao Dong, Jing Lin, Rong He, Man Lu, Yuan Li

“…Abstract Purpose To establish a diagnostic model combining contrast-enhanced ultrasound (CEUS), human epididymis protein 4 (HE4), and Ovarian-Adnexal Reporting and Data Systems (O-RADS) US v2022, verify its diagnostic efficacy, and compare it with subjective evaluation. Methods From January 2018 to August 2021 (the test group) and from September 2021 to September 2022 (the validation group), the data of patients classified as O-RADS US v2022 categories 2 to 5 who underwent adnexal ultrasound examinations were prospectively and continuously collected. …”
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Predictive model for assessing the prognosis of rhabdomyolysis patients in the intensive care unit by Yaxin Xiong, Hongyu Shi, Jianpeng Wang, Quankuan Gu, Yu Song, Weilan Kong, Jun Lyu, Mingyan Zhao, Mingyan Zhao, Xianglin Meng, Xianglin Meng, Xianglin Meng

“…Consequently, there is a pressing need for early prediction of survival rates among RM patients, yet reliable and effective predictive models are currently scarce.MethodsAll data utilized in this study were sourced from the MIMIC-IV database. …”
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An easily acquirable predictive model for strangulated bowel obstruction: the BAR-N by Cuifeng Zheng, BaoWei Xu, Pingxia Lu, Weixuan Xu, Shenhui Lin, Xianqiang Chen, Junrong Zhang, Zhengyuan Huang

“…Methods A total of 453 patients diagnosed with SBO were randomly divided into training and validation datasets at a ratio of 7:3. …”
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Machine Learning-Driven Transcriptome Analysis of Keratoconus for Predictive Biomarker Identification by Shao-Hsuan Chang, Lung-Kun Yeh, Kuo-Hsuan Hung, Yen-Jung Chiu, Chia-Hsun Hsieh, Chung-Pei Ma

“…Our findings provide a novel research platform for the evaluation of keratoconus using machine learning-based approaches, offering valuable insights into its pathogenesis and potential therapeutic targets.…”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…It was indicated that the series of prediction models could be applicable to accurately predict the development of inflorescence. …”
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急性缺血性卒中院前延迟风险预测模型的构建及评价 Construction and Evaluation of Pre-Hospital Delay Risk Prediction Model for Acute Ischemic Stroke by 倪佃丽1，陈晓兵1，张广慧2，彭庆荣1 (NI Dianli1, CHEN Xiaobing1, ZHANG Guanghui2, PENG Qingrong1 )

“…The ROC curve, calibration curve, and Hosmer-Lemeshow test were used to evaluate the predictive efficacy of the model, and the clinical decision curve was used to evaluate its clinical application value. …”
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Prediction of outcomes following intravenous thrombolysis in patients with acute ischemic stroke using serum UCH-L1, S100β, and NSE: a multicenter prospective cohort study employin... by Ming-Ya Luo, Yang Qu, Peng Zhang, Reziya Abuduxukuer, Li-Juan Wang, Li-Chong Yang, Zhi-Guo Li, Xiao-Dong Liu, Ce Han, Dan Li, Wei-Jia Wang, Dian-Ping Lv, Ming Liu, Jian Gao, Jing Xu, Yongfei Jiang, Hai-Nan Chen, Fu-Jin Li, Li-Ming Sun, Qi-Dong Sun, Yingbin Qi, Si-Yin Sun, Yu Zhang, Zhen-Ni Guo, Yi Yang

“…Objectives: We aimed to assess the predictive value of serum brain injury biomarkers for 3-month outcomes in AIS patients treated with IVT, using an ML-based model. …”
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PREDICTIVE VALUE OF ECHOCARDIOGRAPHY IN POST MYOCARDIAL INFARCTION SETTING. PART 2 by P. V. Krikunov, Yu. A. Vasyuk, O. V. Krikunova

“…Development of the method of tissue Doppler and “speckle-tracking” led to invention of novel prediction parameters, as deformation, deformation velocity, dissynchrony of the left ventricle. …”
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PREDICTIVE VALUE OF ECHOCARDIOGRAPHY IN POST MYOCARDIAL INFARCTION SETTING. PART 1 by P. V. Krikunov, Yu. A. Vasyuk, O. V. Krikunova

“…Development of the method of tissue Doppler and “speckle tracking” led to invention of novel prediction parameters, as deformation, deformation velocity, desynchrony of the left ventricle. …”
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A real-time predictive postural control system with temperature feedback by Yaoyu Duan, Huimin Jiao, Dangxiao Wang, Xingwei Guo

“…An Long Short-Term Memory (LSTM) neural network with a sliding window method is incorporated to predict the posture patterns of the next state. …”
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