Median runtime in seconds for building imputation models and imputing the training set (the Q1 - Q3 range is presented in the shiny app). حسب Elena Albu (15181070)

الموضوعات:

Partial dependence plots (A – G) and the resulting clustered feature importance (H) for each feature and trained model. حسب Daniel Walke (21680915)

الموضوعات:

Communication-Efficient Distributed Estimation and Inference for Cox’s Model حسب Pierre Bayle (21567081)

"…<p>Motivated by multi-center biomedical studies that cannot share individual data due to privacy and ownership concerns, we develop communication-efficient iterative distributed algorithms for estimation and inference in the high-dimensional sparse Cox proportional hazards model. …"

Algorithms runtime comparison. حسب Meilin Zhu (688698)

"…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"

Characteristics of training algorithms. حسب Tuan Anh Nguyen (121944)

"…<div><p>Data training algorithms based on Artificial Intelligence (AI) often encounter overfitting, underfitting, or bias issues. …"

Genetic Algorithm IQA Data حسب Michael Anastasios Mardikes (21762611)

الموضوعات: "…Modelling and simulation…"

The robustness test results of the model. حسب Xini Fang (20861990)

الموضوعات:

Schematic diagram of fusion model based on voting mechanism. حسب Jingru Dong (14076094)

الموضوعات:

Developed energy optimization model with LSC based on OAWDO algorithm. حسب Hisham Alghamdi (20114096)

"…<p>Developed energy optimization model with LSC based on OAWDO algorithm.…"

Detailed information on software packages used for machine learning model development. حسب Jingru Dong (14076094)

الموضوعات:

Data Sheet 1_Development of a novel artificial intelligence algorithm for interpreting fetal heart rate and uterine activity data in cardiotocography.docx حسب Rohit Pardasani (22253656)

"…The algorithm using deep learning and rule-based techniques was developed to identify segments of interest (accelerations, decelerations, and contractions). …"

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

"…The experimental results show that the SSA-LightGBM model proposed in this paper has an average fault diagnosis accuracy of 93.6% after SSA algorithm optimization, which is 3.6% higher than before optimization. …"

Data Sheet 1_Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms.csv حسب Hongjun Tao (21448853)

"…The performance of each model was evaluated, and the best-performing model was further interpreted using the Shapley Additive Explanations (SHAP) algorithm.…"

Data Sheet 2_Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various machine learning algorithms.pdf حسب Hanlin Wang (240998)

"…The study extracted radiomic features from the tumor, whole lung, and erector spinae muscles of the patients and applied 11 machine learning algorithms to construct prediction models. Subsequently, the classification performance of all constructed models was compared to select the optimal prediction model.…"

Data Sheet 1_Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various machine learning algorithms.pdf حسب Hanlin Wang (240998)

"…The study extracted radiomic features from the tumor, whole lung, and erector spinae muscles of the patients and applied 11 machine learning algorithms to construct prediction models. Subsequently, the classification performance of all constructed models was compared to select the optimal prediction model.…"

Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip حسب Rui Zhang (13940)

"…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. …"

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx حسب Rui Zhang (13940)

"…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. …"

ECG lead-based algorithm diagram. حسب Pauline Guyot (8566470)

الموضوعات:

SSA4LSMOP حسب Zongbin Qiao (19814199)

الموضوعات:

Supplementary file 1_The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia.doc حسب Huayan Zuo (22308277)

"…Objectives<p>This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold partitioning, in predicting sarcopenia based on computed tomography (CT) and magnetic resonance imaging (MRI) data.…"