Graphical overview of the proposed single-cell clustering algorithm. حسب Jun Seo Ha (15295310)

Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19. حسب Jiaqing Luo (10975030)

"…<p>(A). The MCDM algorithm-Stage 1. Preprocessing, this stage is the process of refining the collected raw data to eliminate noise, including correlation analysis and feature selection based on P values. …"

Table1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.xlsx حسب Yu Yin (329063)

"…In this study, 13 machine learning algorithms were used to construct IFTA diagnostic models based on necroptosis-related genes.…"

Image1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.pdf حسب Yu Yin (329063)

"…In this study, 13 machine learning algorithms were used to construct IFTA diagnostic models based on necroptosis-related genes.…"

Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level حسب Giovanni Nattino (561797)

"…We implement the evidence factors method for binary outcomes, which includes a randomization-based testing strategy and a sensitivity analysis for hidden bias in three-group matched designs. …"

The distinct ecosystem in HCC patients with different MRPS score based on single cell analysis. حسب Qian Feng (302178)

Combination performance of each single caller and combination strategy in detecting DELs and INSs. حسب De-Min Duan (20685513)

The SVs detected by six SV callers. حسب De-Min Duan (20685513)

Study design flow chart. حسب Müge Yalçin (16486563)

Flowchart scheme of the ML-based model. حسب Noshaba Qasmi (20405009)

"…<b>I)</b> Testing data consisting of 20% of the entire dataset. <b>J)</b> Optimization of hyperparameter tuning. <b>K)</b> Algorithm selection from all models. …"

Construction of non-invasive diagnostic model and nomogram of AR. حسب Xihao Shen (20347942)

S1 File - حسب Xihao Shen (20347942)

"…A cluster analysis of rejection samples was conducted using the consensus clustering algorithm. …"

6 data sets included in this study. حسب Xihao Shen (20347942)

"…A cluster analysis of rejection samples was conducted using the consensus clustering algorithm. …"

Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. حسب Enrico Bertozzi (22461709)

"…Model evaluation was based on accuracy metrics and qualitative analysis of the confusion matrix.. …"

The brief description on the WTCCC dataset. حسب Liyan Sun (760586)

"…Epi-SSA draws inspiration from the sparrow search algorithm and optimizes the population based on multiple objective functions in each iteration, in order to be able to more precisely identify epistatic interactions.…"

The penetrance tables for the 8 DNME models. حسب Liyan Sun (760586)

"…Epi-SSA draws inspiration from the sparrow search algorithm and optimizes the population based on multiple objective functions in each iteration, in order to be able to more precisely identify epistatic interactions.…"

The penetrance tables for the 8 DME models. حسب Liyan Sun (760586)

"…Epi-SSA draws inspiration from the sparrow search algorithm and optimizes the population based on multiple objective functions in each iteration, in order to be able to more precisely identify epistatic interactions.…"

The penetrance tables for the 6 DNME3 models. حسب Liyan Sun (760586)

"…Epi-SSA draws inspiration from the sparrow search algorithm and optimizes the population based on multiple objective functions in each iteration, in order to be able to more precisely identify epistatic interactions.…"

Testing results for classifying AD, MCI and NC. حسب Nicodemus Songose Awarayi (18414494)

"…The model further showed superior results on binary classification compared with existing methods. …"

Summary of existing CNN models. حسب Nicodemus Songose Awarayi (18414494)

"…The model further showed superior results on binary classification compared with existing methods. …"