Principal component analysis applied to both datasets. حسب Anny K. G. Rodrigues (11689849)

Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. حسب Jiaxi Wang (545353)

Performance of the VKFCM-K-LP clustering algorithm with the WDS, PDS and OCS strategies for the <i>Thyroid Gland</i> dataset. حسب Anny K. G. Rodrigues (11689849)

The Precision-Recall curve of both the models. حسب Aastha Vatsyayan (9981916)

"…</p><p>Results</p><p>Using an independent validation dataset of ACMG & AMP classified variants, as well as a patient set of functionally validated variants, we showed how both algorithms perform and can be used to classify large numbers of variants in clinical as well as research settings.…"

Raw task performance on both experiments, with respect to conditions. حسب Anis Najar (9745561)

Consistencies of variables for the <i>Thyroid Gland</i> dataset. حسب Anny K. G. Rodrigues (11689849)

Table_1_Higher maternal thyroid resistance indices were associated with increased neonatal thyroid-stimulating hormone— analyses based on the Huizhou mother-infant cohort.docx حسب Shuyi Li (661215)

"…Objectives<p>This study aimed to explore the relationship of maternal thyroid function and thyroid resistance parameters with neonatal thyroid-stimulating hormone (TSH).…"

Image_1_Incorporation of a machine learning pathological diagnosis algorithm into the thyroid ultrasound imaging data improves the diagnosis risk of malignant thyroid nodules.tif حسب Wanying Li (2581219)

"…Objective<p>This study aimed at establishing a new model to predict malignant thyroid nodules using machine learning algorithms.…"

Data Sheet 1_Multi-omics analysis and metastasis risk factor prediction in N1b stage PTMC: insights into immune infiltration and therapeutic implications.docx حسب Hao Dai (4277254)

Scatter plots and boxplots for the <i>Thyroid Gland</i> dataset. حسب Anny K. G. Rodrigues (11689849)

Summary of the contrasts obtained from the normalized images for both inclusions as a function of the host type and the wavelength. حسب María Victoria Waks-Serra (21578611)

Optimum feature set for classification using both core and margin information utilizing GLCM, GRLM, and GLSZM texture methods and SVM-RBF classification algorithm. حسب Laurentius O. Osapoetra (9931759)

Simultaneous Identification of Major Thyroid Hormones by a Nickel Immobilized Biological Nanopore حسب Kefan Wang (11811653)

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Venn diagrams showing overlap of the total of overrepresented/underrepresented kinases for both cohorts. حسب Erica A. K. DePasquale (11851483)

The image of the Aekley function. حسب Zhengyu Xu (8550660)

Bioinformatic Analysis Reveals both Oversampled and Underexplored Biosynthetic Diversity in Nonribosomal Peptides حسب Bo-Siyuan Jian (14669996)

The ALO algorithm optimization flowchart. حسب Wenjing Wang (181404)

"…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"

The IALO algorithm solution flowchart. حسب Wenjing Wang (181404)

"…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"

Table_1_Development and internal validation of diagnostic prediction models using machine-learning algorithms in dogs with hypothyroidism.DOCX حسب Andrea Corsini (12673323)

"…Hypothyroidism was diagnosed based on suggestive clinical signs and thyroid function tests. Dogs were excluded if medical records were incomplete or a definitive diagnosis was lacking. …"

Average results of 100 repetitions for the error rate with <i>Thyroid Gland</i> dataset. حسب Anny K. G. Rodrigues (11689849)