Variants of history models used for training the general model using data of 40 patients. حسب Tomasz Gutowski (17200042)

Machine learning vs. clinicians. حسب Nicola Lazzarini (3528197)

الموضوعات:

ROC area for the ML algorithms applied on Dataset 3. حسب Murad Al-Rajab (10661360)

الموضوعات:

Classification accuracy for the ML algorithms applied to Dataset 3. حسب Murad Al-Rajab (10661360)

الموضوعات:

Classification accuracy for the ML algorithms applied to Dataset 2. حسب Murad Al-Rajab (10661360)

الموضوعات:

ROC area for the ML algorithms applied to Dataset 1. حسب Murad Al-Rajab (10661360)

الموضوعات:

ROC area for the ML algorithms applied to Dataset 2. حسب Murad Al-Rajab (10661360)

الموضوعات:

Confusion matrix for the ML algorithms applied to Dataset 2. حسب Murad Al-Rajab (10661360)

الموضوعات:

Classification accuracy for the ML algorithms applied to Dataset 1. حسب Murad Al-Rajab (10661360)

الموضوعات:

ML confusion matrix for the ML algorithms applied to Dataset 1. حسب Murad Al-Rajab (10661360)

الموضوعات:

ML confusion matrix for the ML algorithms applied to Dataset 3. حسب Murad Al-Rajab (10661360)

الموضوعات:

Summary of ROC area for the ML algorithms applied to all datasets. حسب Murad Al-Rajab (10661360)

الموضوعات:

Accuracy, specificity and sensitivity obtained by the Neural Network (NN), Logistic Regression (LR), Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) algorithms, for each... حسب Mario A. Quiroz-Juárez (11457140)

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Comparative analysis of model performance indicators and diagnostic visualizations for full-featured and simplified models across ten algorithms. حسب Aref Andishgar (18155608)

History of the total number of births to U.S. residents per year and the adoption growth of the <i>2003 Revised Birth Certificate</i>. حسب Karl W. Schulz (14309461)

Type-I (<i>α</i>) and Type-II (<i>β</i>) errors, and accuracies for different clinical stages (a) Stage 1, (b) Stage 2, (c) Stage 3, and (d) Stage 4. حسب Mario A. Quiroz-Juárez (11457140)

الموضوعات:

Confusion matrices, which quantify the performance of our neural networks in each of the four clinical stages: (a) Stage 1, (b) Stage 2, (c) Stage 3, and (d) Stage 4. حسب Mario A. Quiroz-Juárez (11457140)

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Receiver operating characteristic (ROC) curves that illustrate the diagnostic ability of the neural networks for rapid identification of high-risk patients in each stage: (a) Stage... حسب Mario A. Quiroz-Juárez (11457140)

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Fig 8 - حسب Mario A. Quiroz-Juárez (11457140)

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Normalized distributions for different central moments: (a) mean, (b) variance, (c) skewness, and (d) kurtosis, for class 1 (recovered patients), shown in blue and for class 2 (dec... حسب Mario A. Quiroz-Juárez (11457140)

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