Studying Alzheimer’s disease through an integrative serum metabolomic and lipoproteomic approach by Alessia Vignoli, Giovanni Bellomo, Federico Paolini Paoletti, Claudio Luchinat, Leonardo Tenori, Lucilla Parnetti

“…A panel of 26 metabolites and 112 lipoprotein-related parameters was quantified and the logistic LASSO regression algorithm was employed to identify the optimal combination of metabolites-lipoproteins and their ratios to discriminate the groups of interest. Results In the training set, our model classified AD-dem and MCI with an accuracy of 81.7%. …”
Get full text

Association between Chinese visceral adiposity index and risk of new-onset hypertension in middle-aged and older adults with prediabetes: evidence from a large national cohort stud... by Lanlan Li, Lanlan Li, Linqiang Xi, Qianhui Wang

“…The area under the receiver operating characteristic (ROC) curve (AUC) demonstrated that CVAI exhibited superior performance in discriminating individuals at heightened risk of hypertension compared to other obesity-related indices (p < 0.001). …”
Get full text

Characterization of diabetic kidney disease in 235 patients: clinical and pathological insights with or without concurrent non-diabetic kidney disease by Mengjie Jiang, Hongyu Chen, Jing Luo, Jinhan Chen, Li Gao, Qin Zhu

“…Additionally, significant discriminative factors including BMI, blood creatinine level, microscopic erythrocyte grade, UIgG/urine creatinine ratio, and serum IgA levels help differentiate DKD from NDKD, thereby enabling personalized treatment approaches. …”
Get full text

Development and validation of an explainable machine learning prediction model of hemorrhagic transformation after intravenous thrombolysis in stroke by Yanan Lin, Yan Li, Yayin Luo, Jie Han

“…The models' predictive performance was evaluated using confusion matrix (including accuracy, precision, recall, and F1 score), and discriminative analysis (area under the receiver-operating-characteristic curve, ROC-AUC) in the original cohort, followed by validation in an independent external cohort. …”
Get full text

Diagnosis Osteoporosis Risk: Using Machine Learning Algorithms Among Fasa Adults Cohort Study (FACS) by Saghar Tabib, Seyed Danial Alizadeh, Aref Andishgar, Babak Pezeshki, Omid Keshavarzian, Reza Tabrizi

“…Methods We analysed the data related to osteoporosis risk factors obtained from the Fasa Adults Cohort Study in eight ML methods, including logistic regression (LR), baseline LR, decision tree classifiers (DT), support vector classifiers (SVC), random forest classifiers (RF), linear discriminant analysis (LDA), K nearest neighbour classifiers (KNN) and extreme gradient boosting (XGB). …”
Get full text

Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach by Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Guangwu Lin, YuanZhong Xie, Shengdong Nie

“…Two multi-modal fusion strategies were used: feature-level fusion, where we employed a hybrid feature selection algorithm combining Fisher discriminant analysis, an ensemble Lasso (EnLasso) method, and partial least squares (PLS) regression to identify and integrate the most informative features from neuroimaging and genetic data; and decision-level fusion, where we developed an adaptive ensemble stacking (AE_Stacking) model to synergistically integrate the predictions from multiple base classifiers trained on individual modalities.ResultsThe AE_Stacking model achieving the highest average balanced accuracy of 95.36% and an area under the receiver operating characteristic curve (AUC) of 0.974, significantly outperforming feature-level fusion and single-modal models (p < 0.05). …”
Get full text

Association of preoperative ultrasonographic parameters of the contralateral kidney with long-term serum creatinine in cats treated for unilateral ureteral obstruction by Diego Pulido Vega, Jérémie Ficheroulle, Jérémie Ficheroulle, Mathieu Manassero, Jeremy Mortier, Christelle Maurey

“…It also appeared as a fair discriminator of long-term IRIS stage IV, with an area under the curve of 0.74. …”
Get full text

Diversity of Picea omorika (Pančić) Purk. Populations Based on Morpho-anatomical Needle Traits and Bioclimatic Parameters by Biljana Nikolić, Nemanja Rajčević, Zorica Mitić, Sanja Jovanović, Nevena Čule, Katarina Mladenović, Marija Marković, Petar Marin

“…Both principal component analysis and discriminant analysis indicated population overlap, while cluster analysis identified three main groups. …”
Get full text

Associations between left atrial indices and cardiorespiratory and muscular fitness among physically active military personnel by Yen-Chen Lin, Yen-Chen Lin, Pang-Yen Liu, Kun-Zhe Tsai, Kun-Zhe Tsai, Kun-Zhe Tsai, Wei-Chun Huang, Wei-Chun Huang, Wen-Chung Yu, Wen-Chung Yu, Xuemei Sui, Carl J. Lavie, Gen-Min Lin, Gen-Min Lin

“…The top 16% of runners were compared sex-specifically, with the remaining 84% as controls to identify LA discriminators for running capacity. LA composite indices were defined as the LA volume index (LAVI) divided by the stiffness index (LASI) or pressure index (mitral E/e′). …”
Get full text

Predicting High-Grade Acute Urinary Toxicity and Lower Gastrointestinal Toxicity After Postoperative Volumetric Modulated Arc Therapy for Cervical and Endometrial Cancer Using a No... by Tianyu Yang, Zhe Ji, Runhong Lei, Ang Qu, Weijuan Jiang, Xiuwen Deng, Ping Jiang

“…Both models were considered to have relatively good discriminative accuracy and could provide a high net benefit in clinical applications. (4) Conclusions: We developed NTCP models to predict the probability for grade ≥ 2 AUT and ALGIT. …”
Get full text

Assessment of Exercise-Induced Dehydration Status Based on Oral Mucosal Moisture in a Field Survey by Gen Tanabe, Tetsuya Hasunuma, Yasuo Takeuchi, Hiroshi Churei, Kairi Hayashi, Kaito Togawa, Naoki Moriya, Toshiaki Ueno

“…Receiver operating characteristic curve analysis revealed that differences in oral mucosal moisture content exhibited discriminative capabilities, with area under the curve values of 0.79 at 1.5% BML and 0.72 at 2% BML. …”
Get full text

Metabolic Profiling by UPLC–Orbitrap–MS/MS of Liver from C57BL/6 Mice with DSS-Induced Inflammatory Bowel Disease by Zhongquan Xin, Zhenya Zhai, Hongrong Long, Fan Zhang, Xiaojun Ni, Jinping Deng, Lunzhao Yi, Baichuan Deng

“…Furthermore, the top 20 metabolites, such as glutathione, maltose, arachidonic acid, and thiamine, were screened as biomarkers via one-way analysis of variance (one-way ANOVA, p<0.05) coupled with variable importance for project values (VIP >1) of orthogonal partial least-squares discriminant analysis (OPLS-DA), which could be upregulated or downregulated with the cecropin A and antibiotics treatment. …”
Get full text

Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India by Trinh Quoc Ngo, Nguyen Duc Dam, Nadhir Al-Ansari, Mahdis Amiri, Tran Van Phong, Indra Prakash, Hiep Van Le, Hanh Bich Thi Nguyen, Binh Thai Pham

“…In the present study, we have used three single ML models, namely, linear discriminant analysis (LDA), logistic regression (LR), and radial basis function network (RBFN), for landslide susceptibility mapping at Pithoragarh district, as these models are easy to apply and so far they have not been used for landslide study in this area. …”
Get full text

ABCD3-I and ABCD2 Scores in a TIA Population with Low Stroke Risk by Fredrik Ildstad, Hanne Ellekjær, Torgeir Wethal, Stian Lydersen, Hild Fjærtoft, Bent Indredavik

“…The ABCD3-I score had limited value in a short-term prediction of subsequent stroke after TIA and did not reliably discriminate between low- and high-risk patients in a long-term follow-up. …”
Get full text

Fast perceptual learning induces location-specific facilitation and suppression at early stages of visual cortical processing by Yajie Wang, Zhe Qu, You Wang, Mingze Sun, Mengting Mao, Yulong Ding

“…Tens of minutes of training can significantly improve visual discriminability of human adults, and this fast perceptual learning (PL) effect is usually specific to the trained location, with little transfer to untrained locations. …”
Get full text

Characterising “obesogenic” versus “protective” food consumption, and their value chain among Ghanaian households by Reginald Adjetey Annan, Nana Ama Frimpomaa Agyapong, Robert Aidoo, Charles Apprey, Linda Nana Esi Aduku, Elizabeth C Swart

“…In contrast, most households (about 80%) consumption patterns did not discriminate between obesogenic and protective foods. …”
Get full text

GANCE: Generative Adversarial Network Assisted Channel Estimation for Unmanned Aerial Vehicles Empowered 5G and Beyond Wireless Networks by Chirag Gupta, Ramani Kumar Das, Rabindra K. Barik, Shahazad Niwazi Qurashi, Diptendu Sinha Roy, Satyendra Singh Yadav

“…The proposed GAN architectures comprise a U-Net-based generator and a PatchGAN discriminator for adversarial training of the model. …”
Get full text

A Novel Convolutional Neural Network-Based Approach for Fault Classification in Photovoltaic Arrays by Farkhanda Aziz, Azhar Ul Haq, Shahzor Ahmad, Yousef Mahmoud, Marium Jalal, Usman Ali

“…Our study also highlights the importance of representative and discriminative features to classify faults (as opposed to the use of raw data), especially in the noisy scenario, where our method achieves the best performance of 70.45&#x0025;. …”
Get full text

Brood thermoregulation effectiveness is positively linked to the amount of brood but not to the number of bees in honeybee colonies by Godeau, Ugoline, Pioz, Maryline, Martin, Olivier, Rüger, Charlotte, Crauser, Didier, Le Conte, Yves, Henry, Mickael, Alaux, Cédric

“…The relationship between brood amount and mean temperature was however too weak for clearly discriminating colony population size based solely on the brood thermoregulatory effectiveness. …”
Get full text

Bayesian Estimation of the True Bovine Brucellosis Prevalence in Vaccinated and Non-Vaccinated Ecuadorian Cattle Populations, and the Sensitivity and Specificity of a Competitive a... by Ana Dolores Garrido Haro, Margoth Yolanda Barrionuevo Samaniego, Paola Moreno-Caballeros, Alexandra Burbano-Enríquez, Verónica Alexandra Salas Torres, María Cristina Galante Mulki, Constance Wielick, Jorge Ron-Román, Claude Saegerman

“…As serology is a convenient method for detecting antibodies against <i>Brucella</i>, evaluating the diagnostic performance and discriminative ability of such tests in various epidemiological settings is required. …”
Get full text