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  1. 73501
    “…We developed models to discriminate scrub typhus from dengue fever using multivariable logistic regression (M-LR) and classification and regression trees (CART). …”
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    Simple clinical and laboratory predictors to improve empirical treatment strategies in areas of high scrub typhus and dengue endemicity, central Vietnam
  2. 73502
    “…After excluding the HFpEF+AF group, both LAWV and LAWT [SD] provided incremental values when added to PALS or LAVi (all p for net reclassification improvement <0.05) in discriminating AF alone, with LAWT[SD] yielding the largest C-statistic (0.78, 95% CI: 0.70–0.86) among all LA wall indices. …”
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    Insights on Distinct Left Atrial Remodeling Between Atrial Fibrillation and Heart Failure With Preserved Ejection Fraction
  3. 73503
    “…The use of uncertainty maps furthermore helped discriminate between MS lesions and artifacts. In conclusion, this multicentric study confirms the external validity of a lesion-focused Deep-Learning tool aimed at MS imaging. …”
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    Uncertainty-Aware and Lesion-Specific Image Synthesis in Multiple Sclerosis Magnetic Resonance Imaging: A Multicentric Validation Study
  4. 73504
    por Khanakwa, Sarah, Mbonigaba, Josue
    Publicado 2022
    “…Within this framework, the discriminating alignment hypothesis guided the analysis. …”
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    Institutional Arrangements for Providing HIV and AIDS Services in Uganda: A Transaction Cost Economics Analysis
  5. 73505
    “…At ROC curve analysis, we identified a sαKL cut-off to discriminate controls and GHD children of 1764.4 pg/mL in females and 1339.4 pg/mL in males. …”
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    Gender-specific soluble α-klotho levels as marker of GH deficiency in children: a case–control study
  6. 73506
    “…We trained eight different conventional ML models: Discriminant analysis classifier (DAC), Ensemble classification model (ECM), Kernel classification model (KCM), k-nearest neighbor model (KNN), Linear classification model (LCM), Naive Bayes classifier (NBC), Support vector machine classifier (SVM), and Binary decision classification tree (BDC), to find the best-performing algorithm and optimized that model. …”
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    Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait
  7. 73507
    “…Peripheral blood was collected at 6, 12 and 18 months post-vaccination, and infection status was determined using a diagnostic procedure which discriminates the infected amongst vaccinated animals. …”
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    Vaccination of Calves with the Mycobacterium bovis BCG Strain Induces Protection against Bovine Tuberculosis in Dairy Herds under a Natural Transmission Setting
  8. 73508
    “…Further, the expression levels of five metabolic genes (VDR, PPARA, SLC16A1, GPX1 and PAPSS2) were independent risk-predictors of death in the SU2C-PCF dataset and a risk score model built using this lipid-associated signature was able to discriminate a subgroup of bone metastatic PCa patients with a 23-fold higher risk of death. …”
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    Bone Progenitors Pull the Strings on the Early Metabolic Rewiring Occurring in Prostate Cancer Cells
  9. 73509
    “…Characteristics included the Glasgow prognostic score (GPS) which includes C reactive protein and albumin and discriminates prognostic groups. RESULTS: OLU was intended for 519 (17%) of 3046 patients with cancer, as first-line treatment in 51% (n=264) and second-line in 31% (n=162). …”
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    Characteristics and survival of patients with cancer with intended off-label use—a cohort study
  10. 73510
    “…Furthermore, we evaluated the discriminative power of the B-HOT panel in a clinical scenario. …”
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    A Decentralized Kidney Transplant Biopsy Classifier for Transplant Rejection Developed Using Genes of the Banff-Human Organ Transplant Panel
  11. 73511
    “…CONCLUSIONS: The plasma miRNAs are potential noninvasive biomarkers of BrS, and the constructed logistic model was useful for discriminating BrS.…”
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    Plasma MicroRNAs as noninvasive diagnostic biomarkers in patients with Brugada syndrome
  12. 73512
    por Ji, Dan, Zhong, Rongfang, Fan, Song
    Publicado 2022
    “…NAGs were validated to be negatively correlated with OS (R = −0.48, P < 0.001) and act as an independent factor in ACC with high discriminative efficacy (P < 0.001, HR = 11.76, 95% CI: 2.86–48.42). …”
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    Prognosis and Therapeutic Efficacy Prediction of Adrenocortical Carcinoma Based on a Necroptosis-Associated Gene Signature
  13. 73513
    “…Furthermore, plasma CXCL10 levels adjusting for age and sex displayed a sensitivity of 86.0% and a specificity of 67.9% for discriminating CTEPH patients from healthy controls. Preoperative CXCL10 levels, in combination with NT‐proBNP, predicted perioperative complications with a sensitivity of 100.0% and a specificity of 46.9% as displayed in ROC analysis. …”
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    CXCL10 levels in diagnosis and improved hemodynamics in patients with chronic thromboembolic pulmonary hypertension undergoing balloon pulmonary angioplasty
  14. 73514
    “…Logistic regression models discriminate cases from controls and provided inferential relationships between outcomes and independent variables.…”
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    Pairing regression and configurational analysis in health services research: modelling outcomes in an observational cohort using a split-sample design
  15. 73515
    “…Several endpoints were investigated, classified for their severity and used as discriminating paradigms. In particular, when NTCP models were already available, a first selection criterion based on the delta-NTCP was adopted. …”
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    A Patient Selection Approach Based on NTCP Models and DVH Parameters for Definitive Proton Therapy in Locally Advanced Sinonasal Cancer Patients
  16. 73516
    “…Fifty samples positive with hookworm eggs were cultured in each surveillance spot to discriminate species between A. duodenale and N. americanus. …”
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    National surveillance of hookworm disease in China: A population study
  17. 73517
    “…The protein expression results of TUBB3, MCM2, MYOC, FN1, S100A7, and TFF1 were consistent with the mRNA expression result COL10A1, LEP, PLIN1, PGM5-AS1, and TRHDE-AD1 were capable of discriminating luminal A breast cancer and normal controls. …”
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    Identification of Crucial lncRNAs for Luminal A Breast Cancer through RNA Sequencing
  18. 73518
    “…Both endothelial biomarkers were discriminating for MOF. Subjects with thrombomodulin level >9.5 ng/mL and angiopoietin-2 level >3.6 ng/mL accounted for 64% of subjects who developed MOF. …”
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    Endotheliopathy Is Associated With a 24-Hour Fibrinolysis Phenotype Described by Low TEG Lysis and High d-Dimer After Trauma: A Secondary Analysis of the PROPPR Study
  19. 73519
    “…According to the Linear discriminant analysis Effect Size (LEfSe), at the genus level, the DIO diet was characterized by Lactococcus, the high fiber diet by Allobaculum, and the low fiber diet by Enterococcus. …”
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    Effect of Replacing Cellulose With Primarily Insoluble Fiber on the Microbiome and Short Chain Fatty Acids, and Fecal Calprotectin in Mice Fed a High Fat Diet
  20. 73520
    “…Abbreviations: CTNNB1: catenin (cadherin associated protein), beta 1; DAPI: 4′,6-diamidino-2-phenylindole; EPG5: ectopic P-granules autophagy protein 5 homolog (C. elegans); FT: fecal transplant; IFI44: interferon-induced protein 44; IFIT1: interferon-induced protein with tetratricopeptide repeats 1; IFNG/IFN-γ: interferon gamma; IFNL/IFN-λ: interferon lambda; IFNLR1: interferon lambda receptor 1; IL1B/IL-1β: interleukin 1 beta; ISG: interferon stimulated gene; GF: germ-free; LEfSe: linear discriminant analysis effect size; MAP1LC3/LC3: microtubule-associated protein 1 light chain 3; MNoV: murine norovirus; MX2: MX dynamin-like GTPase 2; OAS1A: 2’-5’ oligoadenylate synthetase 1A; RV: rotavirus; SPF: specific-pathogen free; SQSTM1/p62: sequestosome 1; STAT1: signal transducer and activator of transcription 1; STING1: stimulator of interferon response cGAMP interactor 1; TBK1: TANK-binding kinase 1; TNF/TNFα: tumor necrosis factor…”
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    Intestinal antiviral signaling is controlled by autophagy gene Epg5 independent of the microbiota
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