Results 71 to 80 of about 982,398 (277)
Multi‐Omics Integration for Advancing Glioma Precision Medicine
ABSTRACT Gliomas are among the most malignant and aggressive tumors of the central nervous system, characterized by the absence of early diagnostic markers, poor prognosis, and a lack of effective treatments. Advances in high‐throughput technologies have facilitated a refined molecular classification of gliomas, incorporating genetic features. However,
Maria Guarnaccia +4 more
wiley +1 more source
Semi-Supervised Learning in Medical Images Through Graph-Embedded Random Forest [PDF]
Lin Gu +5 more
openalex +1 more source
Predicted Mapping of Seabed Sediments Based on MBES Backscatter and Bathymetric Data: A Case Study in Joseph Bonaparte Gulf, Australia, Using Random Forest Decision Tree [PDF]
Wei Xu +3 more
openalex +1 more source
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
Identification of representative trees in random forests based on a new tree-based distance measure [PDF]
Björn‐Hergen Laabs +2 more
openalex +1 more source
Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim +18 more
wiley +1 more source
The field of information technology requires software, which has significant issues. Quality and reliability improvement needs damage prediction. Tree-based algorithms like Random Forest, Deep Forest, and Decision Tree offer potential in this domain ...
Muhammad Hevny Rizky +4 more
doaj +1 more source
A Novel Elephant Herd Random Forest Machine Learning Approach To Estimate the Sentiment Value of Online Customer Review [PDF]
Shridhar Sanshi +2 more
openalex +1 more source
Objective The aim of this systematic review was to synthesize the economic impact of rheumatoid arthritis (RA) on households, health systems, and society in low‐ and middle‐income countries (LMICs). Methods Electronic databases such as PubMed, Web of Science, and CINAHL were searched using keywords related to RA and cost of illness.
Tadesse Gebrye +6 more
wiley +1 more source
IDRandom-Forest: Advanced Random Forest for Real-Time Intrusion Detection
In the last decade, with the increase in cyberattacks the privacy of network traffic has become a critical issue. Currently, simple network intrusion detection techniques are inefficient in terms of time complexity and are characterized by low detection ...
Muhammad Azhar +3 more
doaj +1 more source

