Image 1_Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models.tiff حسب Benedictor Alexander Nguchu (9984371)

"…</p>Methods<p>Here, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …"

Table 5_Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models.xlsx حسب Benedictor Alexander Nguchu (9984371)

"…</p>Methods<p>Here, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …"

Table 7_Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models.xlsx حسب Benedictor Alexander Nguchu (9984371)

"…</p>Methods<p>Here, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …"

Variant data used during semi-synthetic data generation. حسب Eric V. Strobl (16854789)

الموضوعات:

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. حسب Lalit Pandey (13195488)

Decompression algorithm for the proposed HSCRC encoding. حسب R. Sakthivel (2589547)

Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index. حسب Pauline Guyot (8566470)

الموضوعات:

Bias value of AHI between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index. حسب Pauline Guyot (8566470)

الموضوعات:

Feature selection using Boruta algorithm. حسب Shayla Naznin (13014015)

"…Feature selection was performed using the Boruta algorithm and model performance was evaluated by comparing accuracy, precision, recall, F1 score, MCC, Cohen’s Kappa and AUROC.…"

Feature selection using the Boruta algorithm. حسب Guang Tu (22054865)

"…</p><p>Methods</p><p>We conducted a retrospective cohort study using data from the MIMIC-IV database, focusing on adult ICU patients with a primary diagnosis of CHD and diabetes. …"

Source_data_single_element_motor حسب Hiroyuki Ichijo (19799292)

"…<p dir="ltr">Source data of experiments by the single-element motor algorithm.…"

Proportion of simulated data with improved likelihood from using multiple restarts (Algorithm 1). حسب Jesse Wheeler (18462457)

الموضوعات: "…routinely applicable algorithm…"

Supporting data for "Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution" حسب Xianqi Jiang (9391832)

"…To this end, this study, ''Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution'', focuses on using AI-based deep learning algorithms for accurate nowcasting of cloud evolution. …"

Table 12. Prediction of PO Property of Test Data Using Various Algorithms..docx حسب Negar kheirkhahan (19570372)

Data fitting and inferences of time-dependent parameters for BC using the VOCs-INN algorithm. حسب Wenxuan Li (2566450)

Precision Recall data. حسب Lai Yingdong (22403854)

Comparison of ROI masks generated using different algorithm parameters. حسب Virgil Christian Garcia Castillo (19688355)

The AUC of each model was calculated using 113 ML algorithm. حسب Xuefen Lin (17785367)

Comparisons of the measured and simulated data of phenological stages (day of year) using the different algorithms, calibration data, and evaluation data. حسب Yonghui Zhang (279832)

الموضوعات:

Framework of the proposed algorithm. حسب Jia Li (160557)

الموضوعات: