Data Sheet 1_Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms.pdf by Li Yang (6520)

“…Subsequently, nine classification algorithms were developed using the processed training set, including random forest, neural networks, XGBoost, k-nearest neighbors, gradient boosting, logistic regression, naïve Bayes, AdaBoost, and SVMs. …”

Data Sheet 1_Prognostic assessment and intelligent prediction system for breast reduction surgery using improved swarm intelligence optimization.docx by Zhiwei Cui (10682154)

“…Objective<p>This study aimed to enhance the accuracy of prognosis assessment for reduction mammaplasty by improving a swarm intelligence optimization algorithm and to develop an intelligent prediction system to support clinical decision-making.…”

Data Sheet 2_Prognostic assessment and intelligent prediction system for breast reduction surgery using improved swarm intelligence optimization.docx by Zhiwei Cui (10682154)

“…Objective<p>This study aimed to enhance the accuracy of prognosis assessment for reduction mammaplasty by improving a swarm intelligence optimization algorithm and to develop an intelligent prediction system to support clinical decision-making.…”

Study area and conceptual diagram of algorithm implementation in one community health worker catchment. by Mauricianot Randriamihaja (9091488)

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Training and Testing Set for HRDsig Algorithm Development. by Wenshu Li (762627)

Data Sheet 2_Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outco... by Xiaonan Zhang (538829)

“…Using single-cell RNA sequencing and machine learning algorithms, we identified critical TLS-associated genes and developed a TLS-based predictive model. …”

Data Sheet 3_Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outco... by Xiaonan Zhang (538829)

“…Using single-cell RNA sequencing and machine learning algorithms, we identified critical TLS-associated genes and developed a TLS-based predictive model. …”

Data Sheet 1_Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outco... by Xiaonan Zhang (538829)

“…Using single-cell RNA sequencing and machine learning algorithms, we identified critical TLS-associated genes and developed a TLS-based predictive model. …”

Data Sheet 4_Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outco... by Xiaonan Zhang (538829)

“…Using single-cell RNA sequencing and machine learning algorithms, we identified critical TLS-associated genes and developed a TLS-based predictive model. …”

EITO_P with flexible trip time. by Yunhu Huang (21402795)

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Energy consumption in the PPO process. by Yunhu Huang (21402795)

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Speed limits. by Yunhu Huang (21402795)

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Running time in the PPO process. by Yunhu Huang (21402795)

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Speed limits and gradients from RJ to WYJ. by Yunhu Huang (21402795)

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EITO_E speed distance profile. by Yunhu Huang (21402795)

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Speed limits and gradient from SJZ to XHM. by Yunhu Huang (21402795)

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Parameters of DKZ32. by Yunhu Huang (21402795)

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EITO_<i>P</i> with a variable trip time. by Yunhu Huang (21402795)

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Data for Figs 3–9. by Xiaogang Li (299205)

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Comparing AUROC, exploited biases, use cases and issues of Graph Attention Networks on similarity and patient-centric graphs (directed, reversed directed and undirected) for the cl... by Daniel Walke (21680915)

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