Results 131 to 140 of about 486,951 (294)

Confusion matrix

open access: yes, 2019
Candace Moore   +2 more
openaire   +2 more sources

A Comparative Analysis of Machine Learning Algorithms for Classification of Diabetes Utilizing Confusion Matrix Analysis

open access: yesمجلة بغداد للعلوم
Healthcare experts have been employing machine learning more and more in recent years to enhance patient outcomes and reduce costs. In addition, machine learning has been applied in various areas, including disease diagnosis, patient risk classification,
Maad M. Mijwil, Mohammad Aljanabi
doaj   +1 more source

Context‐Dependent Role of GDF15: GDF15+ Tumor‐Associated Macrophages Suppress OSCC Progression by Enhancing Phagocytosis

open access: yesAdvanced Science, EarlyView.
This study identifies GDF15+ TAMs as a cell subset mediating tumor regression after immunotherapy. Macrophage‐intrinsic GDF15 enhances phagocytosis and antigen cross‐presentation to CD8+ T cells through the NF‐κB signaling pathway, thereby inhibiting tumor progression.
Xinyu Zhou   +9 more
wiley   +1 more source

Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors

open access: yesAdvanced Science, EarlyView.
A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos   +6 more
wiley   +1 more source

Detection of Graduation Potential in Prospective Students using the Random Forest Algorithm

open access: yesSistemasi: Jurnal Sistem Informasi
Detecting students’ graduation potential is commonly performed by evaluating various academic and non-academic factors. This study aims to develop a predictive model for student graduation from the beginning of their academic journey, utilizing high ...
Puguh Hasta Gunawan   +1 more
doaj  

Restricted Boltzmann Machine Approach for Diagnosing Respiratory Diseases

open access: yesJOIV: International Journal on Informatics Visualization
Respiratory diseases remain a significant global health challenge, particularly in developing countries where high morbidity and mortality rates persist.
- Haviluddin   +4 more
doaj   +1 more source

Multimodal AI‐Driven Identification of Dehydrocostus Lactone as a Potent Renal Fibrosis Attenuator Targeting IQGAP1

open access: yesAdvanced Science, EarlyView.
Renal fibrosis, a hallmark of CKD, lacks effective treatments. Herein, we developed a multimodal AI model (TCM‐SPred) to identify anti‐fibrotic agents and found that dehydrocostus lactone (DCL) targets IQGAP1 to inhibit Wnt signaling, blocking the interaction between IQGAP1 and CCT3, demonstrating potent anti‐fibrotic activity in vitro and in vivo ...
Weijiang Lin   +12 more
wiley   +1 more source

Ultrafast Multilevel Switching and Synaptic Behavior in a Planar Quantum Topological Memristor

open access: yesAdvanced Science, EarlyView.
Dry‐transferred Bi2Te3 layers enable a planar quantum topological memristor framework. In‐plane topological surface states facilitate ultrafast & low‐power operations. Coexisting analog and digital modes support current‐controlled multilevel states. PQTM exhibits 105 s retention, 103 cycles endurance, and reproducibility across 24 devices.
Mamoon Ur Rashid   +12 more
wiley   +1 more source

Macrophage Extracellular Traps in Immunity and Cancer

open access: yesAdvanced Science, EarlyView.
As a macrophage‐mediated innate defense mechanism, the dysregulated release of METs drives chronic inflammation and influences tumor progression. Furthermore, METs exhibit a functional duality within the tumor microenvironment, capable of both promoting and suppressing tumor development.
Junyao Li   +5 more
wiley   +1 more source

A Novel Bias-Adjusted Estimator Based on Synthetic Confusion Matrix (BAESCM) for Subregion Area Estimation

open access: yesRemote Sensing
Accurate area estimation of specific land cover/use types in administrative or natural units is crucial for various applications. However, land cover areas derived directly from classification maps of remote sensing via pixel counting often exhibit non ...
Bo Zhang   +3 more
doaj   +1 more source

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