Table 3_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. …"

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. …"

Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. حسب Matteo Straccamore (15083799)

Table 1_Predicting liver metastasis in pancreatic neuroendocrine tumors with an interpretable machine learning algorithm: a SEER-based study.docx حسب Jinzhe Bi (21225545)

"…Furthermore, the SHAP framework revealed that surgery, N-stage, and T-stage are the primary decision factors influencing the machine learning model’s predictions. Finally, based on the GBM algorithm, we developed an accessible web-based calculator to predict the risk of liver metastasis in PaNETs.…"

Working steps and operating algorithm of the developed GSMCS. حسب Abdallah Elshawadfy Elwakeel (19852263)

Scatter diagram of different principal elements. حسب Jizhong Wang (7441697)

"…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. Firstly, data on dissolved gases in oil is collected, and a 17 dimensional fault feature matrix is constructed using the uncoded ratio method. …"

Flowchart of the artificial bee colony algorithm. حسب Wei Su (89824)

"…The findings demonstrate the effectiveness of combining an intelligent optimization algorithm with the LSSVM model. This approach is reliable for predicting the porosity in complex formations and performing reservoir evaluations in oil and gas exploration and development.…"

DataSheet1_Predicting adverse drug event using machine learning based on electronic health records: a systematic review and meta-analysis.docx حسب Qiaozhi Hu (8775155)

"…Studies that developed ML models for predicting specific ADEs or ADEs associated with particular drugs were included using EHR data.…"

Estimated processing times for peptides based on molecular weight and the used visualization approach. حسب Paula Cifuentes (22050278)

الموضوعات:

S1 Data - حسب Dai Wan (20108122)

الموضوعات:

Pareto optimal front result of MOCOA. حسب Hang Zhao (143592)

الموضوعات: "…crayfish optimization algorithm…"

Confusion matrix. حسب Hang Zhao (143592)

الموضوعات: "…crayfish optimization algorithm…"

Action potential of sample points in model 1. حسب Hang Zhao (143592)

الموضوعات: "…crayfish optimization algorithm…"

Performance validation on the MIT-BIH database. حسب Hang Zhao (143592)

الموضوعات: "…crayfish optimization algorithm…"

Exponentially attenuated sinusoidal function. حسب Hang Zhao (143592)

الموضوعات: "…crayfish optimization algorithm…"

Performance comparison with other papers. حسب Hang Zhao (143592)

الموضوعات: "…crayfish optimization algorithm…"

Action potential of sample points in model 2. حسب Hang Zhao (143592)

الموضوعات: "…crayfish optimization algorithm…"

Action potential of sample points in model 0. حسب Hang Zhao (143592)

الموضوعات: "…crayfish optimization algorithm…"