Results 201 to 210 of about 726,143 (311)

EPH179 Real-Time Identification of Infectious Disease Symptoms Through AI-Powered Text Mining From Anonymized Electronic Health Records [PDF]

Hiroki Yoshihara, Haruka Maeda, Yoshihiro Hagiwara, Daisuke Sato, Kei Kitajima, Atsushi Iwata, N. Van de Velde, A Igarashi   +7 more
openalex   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
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

Lack of formal regulatory definitions of off-label medication use in children: an analysis using agency inquiry and text mining. [PDF]

Front Pharmacol
Gade C, Lausten-Thomsen U.
europepmc   +1 more source

Majority‐Voting Overlapping Method for Error Correction in DNA Data Storage

Advanced Intelligent Discovery, EarlyView.
We propose an overlapping‐based majority‐voting method for DNA data storage error correction. By aligning multiple reads and choosing the most frequent base per position, it suppresses substitution errors without prior models. Validated on synthetic and real sequencing data, it achieves high‐fidelity, scalable, and cost‐effective reconstruction ...
Thi Bich Ngoc Nguyen, Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Thi Hong Nhung Vu, Sung Ha Park   +5 more
wiley   +1 more source

Unraveling hierarchical penetration mechanisms and coupling relationships of safety risks in major transportation infrastructure construction using text mining and complex networks. [PDF]

Sci Rep
Liu W, Kang X, Ye Q, Xie J.
europepmc   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

Applying Abstract Text Mining as a Complement to PRISMA in Reviewing the Scope of Healthcare's Circular Economy Comment on "A Review of the Applicability of Current Green Practices in Healthcare Facilities". [PDF]

Int J Health Policy Manag
Esmaeili A.
europepmc   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source

Medication patterns and therapeutic strategies in Traditional Chinese Medicine for coronary heart disease: A text mining analysis of clinical literature. [PDF]

Medicine (Baltimore)
Qu S, Pan L, Liang H, Zhu L, Chen Y, Cai S, Zhao X, Zhao H.   +7 more
europepmc   +1 more source

The Effect of Expert Reviews on Consumer Product Evaluations: A Text Mining Approach

, 2016
Taeyoung Kang, Do-Hyung Park
openalex   +1 more source