Pathogenic Factors of Bacterial Vaginitis and Construction of Nomogram Prediction Model by Xuqing Chen, Jing Li, Nanxiang Lei, Hui Liang

“…The selected risk factors were incorporated into the R software to establish a nomogram prediction model. The effectiveness of the proposed model was evaluated. …”
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Machine learning-enabled prediction of bone metastasis in esophageal cancer by Liqiang Liu, Wanshi Duan, Tao She, Shouzheng Ma, Haihui Wang, Jiakuan Chen

“…This study aimed to develop a machine learning algorithm to predict the risk of bone metastasis in esophageal cancer patients, thereby supporting clinical decision-making support.MethodsClinical and pathological data of esophageal cancer patients were obtained from the SEER database of the U.S. …”
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Nitric oxide as prediction factor of gingival inflammation in orthodontic patients by Janošević Predrag, Stojanović Ivana, Janošević Mirjana, Filipović Gordana, Stošić Maja

“…Methods. In this study, 30 patients of the Dental Clinic treated with fixed orthodontic appliances (11 males and 19 females), aged 15-22 years, were examined. …”
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The accuracy of the Candida Score® in predicting the likelihood of fungal sepsis in newborns by Johanes Edy Siswanto, Milda, Dewi Patriani, Boromeus Abyasa Daniswara, Christophorus Adi S. Pamungkas

“…Background Candidemia poses a significant health challenge in neonates. This study evaluates a modified version of the Candida Score to enhance early detection and guide antifungal therapy decisions.Objective To assess the accuracy of a revised Candida Score® that integrates thrombocytopenia and patient origin into the original parameters.Methods A retrospective case-control study was conducted at the Harapan Kita National Women and Children Health Centre (HKNWCHC) from 2017 to 2023. …”
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Preoperative Neutrophil Lymphocyte Ratio in Prediction of Adnexal Mass Torsion by Asmita Ghimire, Sailaja Ghimire, Asmita Shrestha, Samriddha Raj Pant, Nilam Subedi, Padam Raj Pant

“…Preoperative neutrophil-lymphocyte ratio can be a predictive marker for diagnosis of adnexal torsion and can differentiate it from untwisted unruptured ovarian cysts.…”
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Relational Knowledge Prediction via Dynamic Bi-Mode Embedding by Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao

“…Moreover, we incorporate mapping matrices in translation models through bi-mode entity embedding to construct dynamic embeddings for expressing complex relations, such as “1-to-N”, “N-to-1,” and “N-to-N” relations. In experiments, we evaluate our method on the benchmark data sets and the task of link prediction, and our method is demonstrated to outperform state-of-the-art methods consistently and significantly.…”
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AI-driven prediction of bitterness and sweetness and analysis of receptor interactions by Hiroaki Iwata

“…To enhance model interpretability, we employed the Integrated Gradients method to visualize the molecular features influencing bitterness or sweetness predictions. …”
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Predicting Axillary Metastasis of Breast Cancer Patients with MRI Relaxometry by Roxana Pintican, Radu Fechete, Delia Ioana Radutiu, Manuela Lenghel, Ioana Bene, Carolina Solomon, Cristiana Ciortea, Anca Ciurea

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The Role of Artificial Intelligence in Predicting the Progression of Intraocular Hypertension to Glaucoma by Nicoleta Anton, Cătălin Lisa, Bogdan Doroftei, Ruxandra Angela Pîrvulescu, Ramona Ileana Barac, Ionuț Iulian Lungu, Camelia Margareta Bogdănici

“…Methods: This study involved two groups of patients with IOH and a control group, analyzed using the commercial Neurosolution simulator. …”
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Machine learning frameworks to accurately predict coke reactivity index by Ayat Hussein Adhab, Morug Salih Mahdi, Krunal Vaghela, Anupam Yadav, Jayaprakash B, Mayank Kundlas, Ankur Srivastava, Jayant Jagtap, Aseel Salah Mansoor, Usama Kadem Radi, Nasr Saadoun Abd, Samim Sherzod

“…The efficacy of each algorithm is visually represented through graphical methods and quantitatively evaluated using performance metrics. …”
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Development and validation of a nomogram to predict intracranial haemorrhage in neonates by Shuming Xu, Siqi Zhang, Qing Hou, Lijuan Wei, Biao Wang, Juan Bai, Hanzhou Guan, Yong Zhang, Zhiqiang Li

“…Background: The aim of this study was to establish and validate a Susceptibility-weighted imaging (SWI)-based predictive model for neonatal intracranial haemorrhage (ICH). …”
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An oxidative stress related gene signature predicts prognosis in cholangiocarcinoma by Han Fan, Peng Qiu, Yun Lu, Zhengdong Deng, Li Tian

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Differential gender bias in self-predicted performance in medical tests by Adrian Soto-Mota, Andrés Castañeda Prado, María Fernanda González Lara, Laura Jael Ortiz, Pablo Soto-Mota

“…As part of our sensitivity analyses, we examined whether the perceived difficulty of the evaluated topic or its relevance to their future career plans affected their predictions and test performance. …”
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Defect Prediction in CWDM Optical Modules Using Multimodal Learning by Kyu-Jeong Choi, Jia Yang, Botambu Collins, Sung-Geun Kim, Do-Jin Lim, Jin-Taek Seong

“…The model was comprehensively evaluated on a real CWDM module dataset through cross-validation, based on performance metrics such as accuracy and F1-score. …”
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Risk prediction models for diabetic retinopathy: a systematic review by Hui Huang, Yingmin Wu, Hejiang Ye, Jiaoyang Li, Ling Chen, Xuan Huang

“…BackgroundDiabetic retinopathy, a prevalent complication of diabetes mellitus, is a growing public health concern. The use of robust predictive models can aid healthcare professionals in identifying high-risk patients, enabling them to implement early intervention and treatment strategies.ObjectiveTo systematically evaluate published prediction models for diabetic retinopathy, select better prediction models for healthcare professionals, and provide a valuable reference for model optimization.MethodsA comprehensive search was conducted across the PubMed, Web of Science, Embase, and the Cochrane Library databases for relevant literature on predictive models for diabetic retinopathy. …”
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Prediction of post-contrast acute kidney injury by bedside ultrasonography by Mümin Murat Yazici, Enes Hamdioğlu, Nurullah Parça, Gürkan Altuntaş, Özcan Yavaşi, Özlem Bilir

“…Accordingly, we aimed to evaluate the usefulness of Doppler ultrasound measurements for predicting CI-AKI in patients with normal renal function. …”
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Predicting renal function using fundus photography: role of confounders by Hyun-Woong Park, Hae Ri Kim, Ki Yup Nam, Bum Jun Kim, Taeseen Kang

“…We evaluated the performance of the Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formulas in eGFR prediction. …”
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Physics-Informed Graph Neural Networks for Attack Path Prediction by Marin François, Pierre-Emmanuel Arduin, Myriam Merad

“…However, existing methods become impractical when applied to complex infrastructures. …”
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Blood-Based Prognostic Prediction Model for Glioblastoma: Construction and Validation by Gao S, Liu Y, Kong J, Huangfu L, Yang Y, Cui H, Sun X, Shi S, Yang D

“…Shibo Gao,* Yukun Liu,* Jinglin Kong, Linkuan Huangfu, Yuchuan Yang, Haiyang Cui, Xiaocong Sun, Shuling Shi, Daoke Yang Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China*These authors contributed equally to this workCorrespondence: Daoke Yang, Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Henan, People’s Republic of China, Email 15903650068@163.comObjective: Objective: To explore the prognostic factors affecting patients with glioblastoma (GBM) treated with the Stupp regimen and establish a prediction model based on hematological indicators to guide future clinical decision - making.Methods: A total of 271 GBM patients meeting the screening criteria were recruited. …”
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Generalized Additive Model for Predicting ECBR of Stabilized Subgrades for Pavement by Alka Shah, Tejaskumar Thaker, Vipin Shukla

“…Univariate and bivariate GAM were explored to evaluate the influence of parameter interactions on ECBR predictions. …”
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