Summary statistics of dosing regimens for captopril, esmolol, and propranolol. حسب Mary-Carty Pittman (21161824)

الموضوعات:

Summary statistics across patient clusters for dosing patterns of esmolol. Results are presented for the 3-cluster models. حسب Mary-Carty Pittman (21161824)

الموضوعات:

Baseline demographic and clinical characteristics for all patients. حسب Mary-Carty Pittman (21161824)

الموضوعات:

Summary statistics across patient clusters for dosing patterns of captopril. Results are presented for the 3-cluster models. حسب Mary-Carty Pittman (21161824)

الموضوعات:

Summary statistics across patient clusters for dosing patterns of propranolol. Results are presented for the 3-cluster models. حسب Mary-Carty Pittman (21161824)

الموضوعات:

Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms. حسب Daniel Walke (21680915)

Comparative analysis of WordNet replacement impact on data distribution. حسب Enock Niyonkuru (21246879)

Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection حسب Samin Aref (4683934)

"…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…"

Practice of patient follow-up. حسب Benoîte de Saporta (20454662)

Flow Φ of the controlled continuous time PDMP. حسب Benoîte de Saporta (20454662)

"…Instead of discretizing the problem with a discrete Markov Decision Process, we apply the Partially-Observed Monte-Carlo Planning algorithm to solve the continuous-time, continuous-state problem, leveraging the near-deterministic nature of cancer progression. …"

Comparison of multi-model performance. حسب Lei Gao (6566)

"…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…"

External cohort raw data. حسب Lei Gao (6566)

"…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…"

Workflow of Decisionlinnc software. حسب Lei Gao (6566)

"…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…"

Internal cohort raw data. حسب Lei Gao (6566)

"…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…"

ROC analysis of model-related variable. حسب Lei Gao (6566)

"…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…"

Flow chart of the search process. حسب Lei Gao (6566)

"…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…"

The last 3 shots area of An So-young’s scoring. حسب Hanguang Yuan (20208923)

"…Finally, we establish a prediction model for the scoring and losing of points in the women’s badminton singles based on the ‘Decision tree’, ‘Random forest’, ‘XGBoost’, ‘Support vector’ and ‘K-proximity’ algorithms, and analyze the effectiveness of this model. …"

Typical scoring condition dataset. حسب Hanguang Yuan (20208923)

"…Finally, we establish a prediction model for the scoring and losing of points in the women’s badminton singles based on the ‘Decision tree’, ‘Random forest’, ‘XGBoost’, ‘Support vector’ and ‘K-proximity’ algorithms, and analyze the effectiveness of this model. …"

S1 Raw data - حسب Hanguang Yuan (20208923)

"…Finally, we establish a prediction model for the scoring and losing of points in the women’s badminton singles based on the ‘Decision tree’, ‘Random forest’, ‘XGBoost’, ‘Support vector’ and ‘K-proximity’ algorithms, and analyze the effectiveness of this model. …"

The last 3 shots area of An So-young’s missing. حسب Hanguang Yuan (20208923)

"…Finally, we establish a prediction model for the scoring and losing of points in the women’s badminton singles based on the ‘Decision tree’, ‘Random forest’, ‘XGBoost’, ‘Support vector’ and ‘K-proximity’ algorithms, and analyze the effectiveness of this model. …"