Nutritional and immune-inflammatory scoring system for predicting outcomes in newly diagnosed diffuse large B-cell lymphoma patients by Yu Peng, Tingting Jiang, Shuang Chen, Xinyi Tang, Xinyi Tang, Yakun Zhang, Yakun Zhang, Liangmei Li, Lian Li, Longrong Ran, Xuelian Wu, Jun Li, Wei Zhang, Nanjun Li, Zailin Yang, Yao Liu

“…Patients were randomly divided into training and validation sets in a 7:3 ratio. A LASSO-Cox regression model was applied to identify variables for constructing the Nutritional and Immune-Inflammatory Scoring System (NII). …”
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Instance segmentation and automated pig posture recognition for smart health management by Md Nasim Reza, Md Sazzadul Kabir, Md Asrakul Haque, Hongbin Jin, Hyunjin Kyoung, Young Kyoung Choi, Gookhwan Kim, Sun-Ok Chung

“…A region proposal network was used in the Mask R–CNN-generated candidate boxes and the features from these boxes were extracted using RoIPool, followed by classification and bounding-box regression. The model effectively identified standard postures, achieving a mean average precision of 0.937 for piglets and 0.935 for adults. …”
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Integrating machine learning with mendelian randomization for unveiling causal gene networks in glioblastoma multiforme by Lixin Du, Pan Wang, Xiaoting Qiu, Zhigang Li, Jianlan Ma, Pengfei Chen

“…Validation using external datasets confirmed the model's reliability, with a classification accuracy of 89.5% in the training set and 85.3% in the validation sets. …”
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Routine Multiple Duodenal Biopsy during Endoscopy of Dyspeptic Patients Seems Unnecessary for Screening of Celiac Disease by Amir Behforouz, Abbas Esmaeelzadeh, Homan Mosanan Mozaffari, Ali Mokhtarifar, Elham Faravani, Sakineh Amoueian, Alireza Khooei, Lida Jarahi, Ladan Goshayeshi

“…Bloating was the most common type of dyspepsia in CD patients (7, 46.7%), followed by epigastric pain (6, 40%), and postprandial fullness (2, 13.3%). Two CD patients (13.3%) reported a positive family history for CD. …”
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Derivation and Validation of a Clinical and Endothelial Biomarker Risk Model to Predict Persistent Pediatric Sepsis-Associated Acute Respiratory Dysfunction by James G. Williams, MD, Jane E. Whitney, MD, Scott L. Weiss, MD, Brian M. Varisco, MD, Nadir Yehya, MD, Mihir R. Atreya, MD, MPH

“…We trained TreeNet (Minitab, LLC) and classification and regression tree (CART) models using clinical and endothelial biomarkers measured on day 1 of septic shock to predict risk of sepsis-associated acute respiratory dysfunction (SA ARD) on day 3. …”
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Studying an educational intervention and its impact on health-related quality of life and fasting blood glucose levels among patients with type 2 diabetes mellitus in rural China by Shaofan Chen, Kristina Burström, Bo Burström, Dongfu Qian

“…FBG levels and HRQoL (assessed via EQ-5D-3 L, EQ-VAS, and Paretian Classification of Health Change [PCHC]) were analyzed using difference-in-differences (DID) models and multinomial logistic regression. …”
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Development and Validation of a Routine Electronic Health Record-Based Delirium Prediction Model for Surgical Patients Without Dementia: Retrospective Case-Control Study by Emma Holler, Christina Ludema, Zina Ben Miled, Molly Rosenberg, Corey Kalbaugh, Malaz Boustani, Sanjay Mohanty

“…Separate models were developed for each hospital using surveillance periods of 3 months, 6 months, and 1 year before admission. …”
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Sialyltransferase-related genes as predictive factors for therapeutic response and prognosis in cervical cancer by Jia Shao, Can Zhang, Yaonan Tang, Aiqin He, Xiangyan Cheng

“…Cellular assays have revealed that KCNK15, LIF, TCN2, SERPINF2, and CXCL3 were highly expressed yet PIH1D2, DTX1 and GCNT2 were low-expressed in Hela cells and that silencing CXCL3 diminished the number of migrated and invaded Hela cells. …”
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Effect of malnutrition at admission on length of hospital stay among adult surgical patients in Wolaita Sodo University Comprehensive Specialized Hospital, South Ethiopia: prospect... by Zewdu Gebregziabher, Debritu Nane, Samson Kastro Dake, Yoseph Halala Handiso

“…Data were collected by open data kit (ODK) version 2022.3.3 software while Stata version 14.1 software was employed for statistical analysis. …”
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Decision-Making Factors Among Dentists for Using Dental Magnifying Loupes: A Cross-Sectional Study by Alghilan MA, AlShehri A, Almeshrafi A, Alrumi A, Aldibasi O

“…Maryam A Alghilan,1,2 Aram AlShehri,1,2 Azzam Almeshrafi,3 Abdulmajeed Alrumi,4 Omar Aldibasi2 1Restorative and Prosthetic Dental Sciences, College of Dentistry, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia; 2King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia; 3King Saud Medical City, Riyadh, Kingdom of Saudi Arabia; 4King Faisal Specialist Hospital and Research Centre, Riyadh, Kingdom of Saudi ArabiaCorrespondence: Maryam A Alghilan, Restorative and Prosthetic Dental Sciences, College of Dentistry, King Saud bin Abdulaziz University for Health Sciences Riyadh, Saudi Arabia, P.O. …”
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Generative language reconstruction from brain recordings by Ziyi Ye, Qingyao Ai, Yiqun Liu, Maarten de Rijke, Min Zhang, Christina Lioma, Tuukka Ruotsalo

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Origin Traceability of Chinese Mitten Crab (<i>Eriocheir sinensis</i>) Using Multi-Stable Isotopes and Explainable Machine Learning by Danhe Wang, Chunxia Yao, Yangyang Lu, Di Huang, Yameng Li, Xugan Wu, Weiguo Song, Qinxiong Rao

“…By comparing the classification performance of Random Forest, XGBoost, and Logistic Regression models, we found that the Random Forest model outperformed the others, achieving high accuracy (91.3%) in distinguishing samples from different origins. …”
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Machine Learning for Predicting Zearalenone Contamination Levels in Pet Food by Zhenlong Wang, Wei An, Jiaxue Wang, Hui Tao, Xiumin Wang, Bing Han, Jinquan Wang

“…The ensemble model, which combined the predictions from all classifiers, further improved the classification performance, achieving the highest accuracy at 90.1%. …”
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Evaluating and Forecasting the Probability of Lightning Occurrence in Rasht City by Afsaneh Ghasemi, Jamil Amanollahi

“…After preprocessing and processing data, data mining models including Classification & Regression Tree (CART), Chi-squared Automatic Interaction Detector (CHAID), Induction of Decision Trees (C5) and neural networks Radial Basis Function (RBF), Multi Layer Perceptron (MLP) and Support Vector Machine (SVM) were used in Spss Modeler Ver 20 software. …”
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Hydroclimatic and Land Use Drivers of Wildfire Risk in the Colombian Caribbean by Yiniva Camargo Caicedo, Sindy Bolaño-Diaz, Geraldine M. Pomares-Meza, Manuel Pérez-Pérez, Tionhonkélé Drissa Soro, Tomás R. Bolaño-Ortiz, Andrés M. Vélez-Pereira

“…Fire-prone zones in the Magdalena Department covered ~744.35 km² (3.21%), with a weak but significant (τ = 0.20, <i>p</i> < 0.01) degree of coincidence between classification based on fire density, as pre-fire variable, and burned area, as a post-fire variable. …”
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Development and cross-validation of predictive equations for fat-free mass estimation by bioelectrical impedance analysis in Brazilian subjects with overweight and obesity by Kalina Veruska Da Silva Bezerra Masset, Analiza M. Silva, Analiza M. Silva, Gerson Ferrari, Gerson Ferrari, Breno Guilherme De Araújo Tinoco Cabral, Paulo Moreira Silva Dantas, Roberto Fernandes Da Costa

“…Paired t-test, multiple regression, concordance correlation coefficient, and Bland–Altman analysis were used.ResultsMost existing equations were not valid and new equations were derived: (1) for individuals with overweight or obesity: CCC = 0.982; r2 = 0.95; standard error of estimate (SEE) = 2.50 kg; limits of agreement (LOA) = -5.0 to 4.8; and (2) specific for individuals with obesity: CCC = 0.968; r2 = 0.94; SEE = 2.53 kg; LOA = -5.3 to 5.2. …”
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Protocol for detection and monitoring of post-stroke cognitive impairment through AI-powered speech analysis: a mixed methods pilot study by Ravi Shankar, Effie Chew, Effie Chew, Effie Chew, Anjali Bundele, Anjali Bundele, Amartya Mukhopadhyay, Amartya Mukhopadhyay

“…Statistical analysis will include correlation analysis between speech features and MoCA scores, as well as machine learning classification and regression models to predict cognitive impairment. …”
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Multi-sequence MRI based radiomics nomogram for prediction expression of programmed death ligand 1 in thymic epithelial tumor by Jie Shen, Lantian Zhang, Shuke Li, Xiaofei Mu, Tongfu Yu, Wei Zhang, Yue Yu, Jing He, Wen Gao

“…Multivariate logistic regression analysis was conducted to develop a combined radiomics nomogram that incorporated clinical, conventional MR features, or ADC model for evaluation purposes. …”
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Using Structural Class Pairing to Address the Spatial Mismatch Between GEDI Measurements and NFI Plots by Nikola Besic, Sylvie Durrieu, Anouk Schleich, Cedric Vega

“…Our proposed method incorporates clustering, classification, and regression techniques, and utilizes GEDI and NFI data, along with Sentinel-2 images, land-use information, and topographic data. …”
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Associations of mental disorders with maternal health outcomes by Pallavi Dubey, Alok Kumar Dwivedi, Kunal Sharma, Sarah L. Martin, Peter M. Thompson, Sireesha Y. Reddy

“…Survey-weighted logistic regression analysis was conducted to evaluate the associations between mental disorders and obstetric outcomes after adjusting for age, race/ethnicity, household income, primary payer, smoking, alcohol use, substance use, and obesity. …”
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