Results 181 to 190 of about 520,634 (314)
Comprehensive survival analysis of breast cancer patients: a bayesian network approach. [PDF]
Toffaha K +4 more
europepmc +1 more source
Reliable and Efficient Inference of Bayesian Networks from Sparse Data by Statistical Learning Theory [PDF]
Dominik Janzing, Daniel Herrmann
openalex +1 more source
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley +1 more source
Analyzing human factors affecting severe maternal morbidity (SMM) using fuzzy Bayesian network (FBN). [PDF]
Feiz-Arefi M +5 more
europepmc +1 more source
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Comparing efficacy of neoadjuvant therapy of triple-negative breast cancer: A Bayesian network meta-regression analysis. [PDF]
Jiang Y +8 more
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
Comparative Efficacy of Combined and Standalone Oral Immunotherapies for Peanut Allergy: a Bayesian Network Meta-Analysis of RCTs. [PDF]
Tian X, Liu S, Li L, Guan K.
europepmc +1 more source
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
wiley +1 more source

