Results 181 to 190 of about 51,982 (249)

Rb2498 Nlp-17(Ok3461)Iv | 2010-03-12T10:34:29+00:00

, 2017
Avelino Javer, Michael Currie, Jim Hokanson, Chee Wai Lee, Kezhi Li, Eviatar Yemini, Laura J Grundy, Chris Li, Quee-Lim Ch'ng, William R Schafer, Rex Kerr, André EX Brown   +11 more
openalex   +1 more source

Systemic Governance From Below: Story Telling to Empower Access to the Commons Through Mapping and Modelling: A Mixed Methods Approach

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Access to forests, farming land and the Citarum river is limited in Tarumajaya; furthermore, many do not own their own housing and are dependent on the public and private landowners in the area. The region of Tarumajaya faces significant challenges in access to crucial resources such as forests, farming land and the Citarum river, leading to a
Rudolf Wirawan, Janet Judy McIntyre‐Mills, R. Riswanda R. Riswanda, Ida Widianingsih, Indra Gunawan   +4 more
wiley   +1 more source

Automated natural language processing to identify venous thromboembolism from diagnostic imaging reports. [PDF]

Blood Vessel Thromb Hemost
Subramanian N, Garcia Pleitez H, Nguyen D, Milton DR, Kebriaei P, Shpall E, Cheng L, Lu J, Jin S, Wu CC, Sheth RA, Ferrajoli A, Toale KM, Kroll MH, Rojas-Hernandez CM.   +14 more
europepmc   +1 more source

Addressing Complexity in System of Systems With GraphRAG: An AI‐Driven Framework for Dynamic Data Integration

Systems Engineering, EarlyView.
ABSTRACT System of Systems (SoS) environments are inherently complex, involving numerous operationally and managerially independent component systems with hidden interdependencies and frequent interactions based on unstructured data. In this paper, we propose using graphical Retrieval‐Augmented Generation (GraphRAG), a tool that combines large language
Yinchien Huang, Tien‐Yueh Fung, Daniel A. DeLaurentis   +2 more
wiley   +1 more source

Integrating NLP to Enhance Algorithmic Identification of Metastatic and Castration-Resistant Prostate Cancer in Large Claims-Based Studies. [PDF]

Cancer Med
Stock SR, Parrish JA, Burns MT, Janes JL, Waller J, De Hoedt AM, Ghate S, Kim J, Shui IM, Freedland SJ.   +9 more
europepmc   +1 more source

A Bibliometric Review of the INCOSE's Model‐Based Systems Engineering Roadmap

Systems Engineering, EarlyView.
ABSTRACT Over the past decade, model‐based systems engineering (MBSE) has gained attention as an approach for managing system complexity, offering a shift from a document‐based to a model‐based approach. The International Council on Systems Engineering (INCOSE) sparked increasing interest when it introduced MBSE and its roadmap as part of its systems ...
Marjolein Antoinette Jannyne Velthuizen, Erwin Hofman, Marcus Vinicius Pereira Pessôa   +2 more
wiley   +1 more source

Utilizing large language models and natural language processing to classify ischemia status from cardiac stress tests in a large multicenter healthcare system. [PDF]

BMC Res Notes
Cave S, Peterson KS, Plomondon ME, Waldo SW.   +3 more
europepmc   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

High-dimensional multiple imputation for partially observed confounders including natural language processing-derived auxiliary covariates. [PDF]

Am J Epidemiol
Weberpals J, Shaw PA, Lin KJ, Wyss R, Plasek JM, Zhou L, Ngan K, DeRamus T, Raman SR, Hammill BG, Lee H, Toh S, Connolly JG, Dandreo KJ, Tian F, Liu W, Li J, Hernández-Muñoz JJ, Schneeweiss S, Desai RJ.   +19 more
europepmc   +1 more source

TCSR‐SQL: Towards Table Content‐Aware Text‐to‐SQL With Self‐Retrieval

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Large language model‐based (LLM‐based) text‐to‐SQL methods have achieved important progress in generating SQL queries for real‐world applications. When confronted with table content‐aware questions in real‐world scenarios, ambiguous data content keywords and nonexistent database schema column names within the question lead to the poor ...
Wenbo Xu, Liang Yan, Chuanyi Liu, Peiyi Han, Haifeng Zhu, Yong Xu, Yingwei Liang, Bob Zhang   +7 more
wiley   +1 more source