Results 241 to 250 of about 2,085,409 (278)
Machine Learning-Based Interpretable Screening for Osteoporosis in Tuberculosis Spondylitis Patients Using Blood Test Data: Development and External Validation of a Novel Web-Based Risk Calculator with Explainable Artificial Intelligence (XAI). [PDF]
Yasin P, Ding L, Mamat M, Guo W, Song X.
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept study. [PDF]
Liu X +7 more
europepmc +1 more source
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
This critical review synthesizes ML‐enabled occupancy behaviour modelling across sensing approaches, prediction methods and building contexts. Emerging advances in non‐intrusive sensing, hybrid and privacy‐preserving learning show strong potential, while transferability, heterogeneous data and inconsistent benchmarking remain key barriers to scalable ...
Norhafiza Mohamad +4 more
wiley +1 more source
Machine learning-enabled prediction of prolonged length of stay in hospital after surgery for tuberculosis spondylitis patients with unbalanced data: a novel approach using explainable artificial intelligence (XAI). [PDF]
Yasin P +6 more
europepmc +1 more source
ABSTRACT Objectives To develop interpretable machine learning (ML) models for risk stratification of clinically meaningful anterior overbite decrease after stabilization splint therapy in temporomandibular disorder (TMD) patients, and to compare ML performance with conventional logistic regression.
Jae Joon Hwang +5 more
wiley +1 more source
A Critical Analysis of Optimization Algorithms for Cultural Heritage Conservation and Management
Methodological framework and decision‐support roadmap for optimization algorithms in cultural heritage conservation and management. ABSTRACT Heritage buildings symbolize cultural identity, architectural character, and historical epitome of communities.
Eslam Mohammed Abdelkader +6 more
wiley +1 more source

