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397 results on '"Area under the Curve"'

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1. Therapeutic Drug Monitoring of Vancomycin in Hemodialysis Patients in a Hospital in North-East Romania.

2. ODC and ROC Curves, Comparison Curves and Stochastic Dominance.

3. Enhancing the Detection of Social Desirability Bias Using Machine Learning: A Novel Application of Person-Fit Indices.

4. Landslide susceptibility prediction and mapping in Taihang mountainous area based on optimized machine learning model with genetic algorithm.

5. 依据 MRI 影像组学数据构建颈椎失稳诊断分类模型的可行性.

6. Country rankings according to well-being evolution: composite indicators from a functional data analysis perspective.

7. Risk factors for identifying pneumocystis pneumonia in pediatric patients.

8. Leveraging machine learning in limited sampling strategies for efficient estimation of the area under the curve in pharmacokinetic analysis: a review.

9. 基于曲线下面积的脱色评价方法及应用.

10. A novel method for objectively classifying sequential emotion within dreams: a proof-of-concept pilot study.

11. ITGB4 Serves as an Identification and Prognosis Marker Associated with Immune Infiltration in Small Cell Lung Carcinoma.

12. Hydroxyurea Pharmacokinetic Evaluation in Patients with Sickle Cell Disease.

13. Development of a Prediction Model for Surgery or Early Mortality at the Time of Initial Assessment for Necrotizing Enterocolitis.

14. The Role of Preoperative Abdominal Ultrasound in the Preparation of Patients Undergoing Primary Metabolic and Bariatric Surgery: A Machine Learning Algorithm on 4418 Patients' Records.

15. ROC curve analysis: a useful statistic multi-tool in the research of nephrology.

16. Beyond Supervised: The Rise of Self-Supervised Learning in Autonomous Systems.

17. Analyzing foveal slope and retinal thickness in diabetics and healthy individuals with and without diabetic family history in South India for early neuronal damage prediction.

18. Image quality of DWI at breast MRI depends on the amount of fibroglandular tissue: implications for unenhanced screening.

19. Automatic detection of facial expressions during the Cyberball paradigm in Borderline Personality Disorder: a pilot study.

20. Green analytical chemistry-based spectrophotometric techniques for ternary component analysis of pain relievers.

21. Comparing the effectiveness of k$$ k $$‐different treatments through the area under the ROC curve.

22. Delta-radiomics features for predicting the major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer.

23. Estimating rate of change for nonlinear trajectories in the framework of individual measurement occasions: A new perspective on growth curves.

24. Association between poor oral health and overall mortality in palliative care patients: An analysis using time‐dependent receiver operating characteristic curves.

25. Comparison of Diagnostic Performance between Classic and Modified Abbreviated Breast MRI and the MRI Features Affecting Their Diagnostic Performance.

26. Matrix variate receiver operating characteristic curve for binary classification.

27. Applicability of machine learning methods for classifying lightweight pigs in commercial conditions.

28. Simple and Economical Uv-Spectrophotometric Method for Simultaneous Estimation of Chlorthalidone and Nebivolol in Combined Tablet Dosage Form: An Alternative Approach to the HPLC Method.

29. Magnetic resonance imaging of anal cancer: tumor characteristics and early prediction of treatment outcome.

30. Model-Informed Precision Dosing Improves Outcomes in Patients Receiving Vancomycin for Gram-Positive Infections.

31. Development and validation of a prediction model on spontaneous preterm birth in twin pregnancy: a retrospective cohort study.

32. Developing a risk prediction model for COVID-19 infection in heart transplant recipients using artificial intelligence.

33. Using clinical and radiomic feature–based machine learning models to predict pathological complete response in patients with esophageal squamous cell carcinoma receiving neoadjuvant chemoradiation.

34. Evaluating Binary Classification Algorithms on Data Lakes Using Machine Learning.

35. Estimation of the ROC curve and the area under it with complex survey data.

36. Reliability of Systematic and Targeted Biopsies versus Prostatectomy.

37. Anomaly Detection Based on a 3D Convolutional Neural Network Combining Convolutional Block Attention Module Using Merged Frames.

38. Juvenile dermatomyositis: association between nail fold capillary end row loop– area under the curve– and disease damage indicators.

39. Mycophenolic acid therapeutic drug monitoring using area under the curve in pediatric heart transplant recipients.

40. Assessment of pleural fluid adenosine deaminase and alkaline phosphatase in tubercular and non-tubercular effusions.

41. Evaluation of Vancomycin Area Under the Concentration-Time Curve Predictive Performance Using Bayesian Modeling Software With and Without Peak Concentration: An Academic Hospital Experience for Adult Patients Without Renal Impairment.

42. Receiver operating characteristic curves in the crime linkage context: Benefits, limitations, and recommendations.

43. Evaluating the Performance of the Generalized Linear Model (glm) R Package Using Single-Cell RNA-Sequencing Data.

44. Receiver operating characteristic curve analysis in diagnostic accuracy studies: A guide to interpreting the area under the curve value.

45. The value of dual-energy computed tomography (DECT) in the diagnosis of urinary calculi: a systematic review and meta-analysis of retrospective studies.

46. Pressure Time Dose as a Representation of Intracranial Pressure Burden and Its Dependency on Intracranial Pressure Waveform Morphology at Different Time Intervals.

47. The immediate effect of multidirectional elastic tape on the passive mechanical properties of the ankle joint.

48. Comparative Analysis of Certainty Factor and Analytic Hierarchy Process for Landslide Susceptibility Zonation in Parts of Solan, Himachal Pradesh, India.

49. Hand Motions Reveal Attentional Status and Subliminal Semantic Processing: A Mouse-Tracking Technique.

50. Predicting complicated appendicitis is possible without the use of sectional imaging—presenting the NoCtApp score.

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