Results 231 to 240 of about 92,710 (270)

Machine Learning‐Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic modality. However, NE accuracy is limited by inter‐operator variability in landmark identification and localization of mucus that is necessary for sinusitis diagnosis. We sought to develop a novel multi‐class machine learning (ML) framework that
Dipesh Gyawali, Thomas Mundy, Majid Hosseini, Morteza Bodaghi, Akio Fujiwara, Sejal Shyam Bhatia, Kayla Baker, Elena Bartolone, Dhara Patel, Henry Chu, Raju Gottumukkala, Jonathan Bidwell, Edward D. McCoul   +12 more
wiley   +1 more source

What counts as care? Structural critique of digital health models. [PDF]

Digit Health
Wang X, Yang F, Trafford J, Qiu W, Conn C.   +4 more
europepmc   +1 more source

Advancing quadruple helix theory for health systems innovation: evidence from Ageing@Coimbra. [PDF]

BMC Health Serv Res
Ricciardelli A, Mercurio L, Salvatore C.
europepmc   +1 more source

Overview of Time Issues with Temporal Logics for Business Process Models

Annals of computer science and information systems, 2016
Krzysztof Kluza, Krystian Jobczyk, Piotr Wiśniewski, Antoni Ligęza   +3 more
doaj   +1 more source

Evolving Performance Management Systems in Public Sector Networks: A Longitudinal Case Study of The World Largest Public Network Supporting Smes. [PDF]

Open Res Eur
Ruiz-Coupeau S, Ramón-Jerónimo JM, Florez-Lopez R.   +2 more
europepmc   +1 more source

A Novel Deep Temporal Feature Enhanced Just‐in‐Time Learning Framework for Predicting Rare Earth Component Content

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang, Liangfang Liao, Chunfa Liao, Hui Zhang, Tao Qi, Rongxiu Lu, Wenhao Dai   +6 more
wiley   +1 more source

Two functionalist logics of European Union polity formation under external threat: Evidence from a conjoint experiment. [PDF]

Eur Union Polit
Moise AD, Oana IE, Truchlewski Z, Wang C.   +3 more
europepmc   +1 more source

Technological Innovations and Applications of Spatial Transcriptomics in Livestock and Poultry Research

Animal Research and One Health, EarlyView.
The paper is divided into three main sections: a review of the development of spatial transcriptomics technology, its applications in livestock and poultry research, and its future prospects. This article provides an overview of the current state of spatial transcriptomics in animal research, exploring its integration with multiomics technologies as ...
Mingyu Wang, Ao Guo, Lin Zhang, Shengru Wu, Juan Du, Taiyong Yu   +5 more
wiley   +1 more source

Optogenetic engineering of synthetic and natural receptors: design principles, functional mechanisms and biomedical applications. [PDF]

Regen Biomater
Zhao J, Chen Y, Gao B, Zhang L, Gao N, Hao S, Gao Z, Cai W, Yang J, Yang G.   +9 more
europepmc   +1 more source

Automated Feature Extraction and Classification of Submerged Cultural Heritage Assets in the Puck Lagoon via Multisensor Remote Sensing

Archaeological Prospection, EarlyView.
ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski, Andrzej Pydyn, Mateusz Popek, Anna M. Kotarba‐Morley, Paweł Tysiąc   +4 more
wiley   +1 more source