Increasing algorithm’s responsiveness to multiple stakeholders (programs and students). حسب Briance Mascarenhas (15194984)

Multiple logistical regression models of matching. حسب Briance Mascarenhas (15194984)

The multiple factors influencing carbon price. حسب Beibei Hu (5347559)

Illustration of the wAL GHAC algorithm on a small network. حسب Petr Prokop (19959315)

An accessibility spatial search algorithm to optimize defibrillator deployment in indoor space حسب Lina Yang (9097202)

"…Instead, we propose an accessibility spatial search algorithm (ASSA) to generate candidate areas of facility coverage based on an indoor space model, and optimizes the candidate areas subject to three objectives: maximizing the survival rate, maximizing total spatial coverage and maximizing backup coverage. …"

Agent-based digital traffic model generation for regions facing data scarcity using aggregated cellphone data: a case study for Brussels حسب Jingjun Li (7391258)

"…This research presents a systematic ABM generation algorithm for Brussels, Belgium, that generates high-quality ABMs more representative of real-life travel patterns, including incorporating external travel demand and allowing multiple destinations for the same activity types in activity chaining. …"

Table_1_Preoperative prediction of tumor budding in rectal cancer using multiple machine learning algorithms based on MRI T2WI radiomics.docx حسب Xueting Qu (16980670)

DataSheet_1_A machine learning-based model for predicting distant metastasis in patients with rectal cancer.docx حسب Binxu Qiu (14280800)

"…</p>Conclusion<p>The study developed and validated an XGB model based on clinicopathological information for predicting the risk of distant metastasis in patients with rectal cancer, which may help physicians make clinical decisions. rectal cancer, distant metastasis, web calculator, machine learning algorithm, external validation</p>…"

Table_1_A machine learning-based model for predicting distant metastasis in patients with rectal cancer.docx حسب Binxu Qiu (14280800)

"…</p>Conclusion<p>The study developed and validated an XGB model based on clinicopathological information for predicting the risk of distant metastasis in patients with rectal cancer, which may help physicians make clinical decisions. rectal cancer, distant metastasis, web calculator, machine learning algorithm, external validation</p>…"

Table_2_A machine learning-based model for predicting distant metastasis in patients with rectal cancer.docx حسب Binxu Qiu (14280800)

"…</p>Conclusion<p>The study developed and validated an XGB model based on clinicopathological information for predicting the risk of distant metastasis in patients with rectal cancer, which may help physicians make clinical decisions. rectal cancer, distant metastasis, web calculator, machine learning algorithm, external validation</p>…"

Validation of Acetylcholinesterase Inhibition Machine Learning Models for Multiple Species حسب Patricia A. Vignaux (6911525)

Quantitative Polypharmacology Profiling Based on a Multifingerprint Similarity Predictive Approach حسب Fulvio Ciriaco (5569355)

"…We present a new quantitative ligand-based bioactivity prediction approach employing a multifingerprint similarity search algorithm, enabling the polypharmacological profiling of small molecules. …"

Quantitative Polypharmacology Profiling Based on a Multifingerprint Similarity Predictive Approach حسب Fulvio Ciriaco (5569355)

"…We present a new quantitative ligand-based bioactivity prediction approach employing a multifingerprint similarity search algorithm, enabling the polypharmacological profiling of small molecules. …"

Table 1_Ensemble machine learning for predicting renal function decline in chronic kidney disease: development and external validation.docx حسب Hong Chen (108084)

"…</p>Methods<p>We developed an ensemble machine learning model using Random Forest, XGBoost, and LightGBM algorithms, incorporating advanced feature selection and hyperparameter tuning. …"

Fig 2 - حسب Stan Kerstjens (13410092)

"…If the match between internal and external expression can be improved by moving into multiple different directions, or by transitioning to multiple different states, the single axonal branch is split into two new branches that continue to execute the same algorithm, but whose independent states may subsequently diverge. …"

Flowchart of this study. حسب Guanghao Xin (17583227)

"…Four Pd hub genes were obtained after processing by differential expression analysis, WGCNA and two machine learning algorithms. A diagnostic model for PD was constructed using these hub genes, and the genes and model were verified to have some accuracy using three independent external datasets. …"

Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports حسب Olivier Q. Groot (9370461)

"…At a threshold of 0.90, NLP algorithm correctly identified multiple bone metastases in 117 of the 124 who had multiple bone metastases in the testing cohort (sensitivity 0.94) and yielded 3 false positives (specificity 0.82). …"

Table 2_An explainable machine learning model for predicting preterm birth in pregnant women with gestational diabetes mellitus and hypertensive disorders of pregnancy: development... حسب Landan Kang (20108214)

"…</p>Methods<p>This retrospective dual-center study included electronic medical records from 121 and 136 pregnant women with comorbid GDM and HDP, which served as the development and external validation cohorts, respectively. Multiple machine learning algorithms, including Least Absolute Shrinkage and Selection Operator (LASSO) regression, Random Forest (RF), and Naive Bayes (NB), were applied to construct predictive models. …"

Table 1_An explainable machine learning model for predicting preterm birth in pregnant women with gestational diabetes mellitus and hypertensive disorders of pregnancy: development... حسب Landan Kang (20108214)

"…</p>Methods<p>This retrospective dual-center study included electronic medical records from 121 and 136 pregnant women with comorbid GDM and HDP, which served as the development and external validation cohorts, respectively. Multiple machine learning algorithms, including Least Absolute Shrinkage and Selection Operator (LASSO) regression, Random Forest (RF), and Naive Bayes (NB), were applied to construct predictive models. …"

Classic oscillator simulations. حسب Keith B. Doelling (10746230)