Results 191 to 200 of about 31,354 (250)

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

A fairness framework for natural language processing in substance use disorders and overdose. [PDF]

PLOS Digit Health
Zhu DT, Mitragotri S, Tamang S.
europepmc   +1 more source

Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang, Hongxu Chen, Xiangyu Zhao, Sixiao Zhang, Xiangguo Sun, Qian Li, Hongzhi Yin, Guandong Xu   +7 more
wiley   +1 more source

Extracting Signs and Symptoms of Hypertensive Disorders in Pregnancy from Clinical Notes Using Natural Language Processing. [PDF]

Matern Child Health J
Scroggins JK, Zhang Z, Hulchafo II, Topaz M, Barcelona V.   +4 more
europepmc   +1 more source

A Novel Full‐Chain Loop Tracking Auditing Framework for Obtaining Audit Evidence With Reasonable Assurance

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT As an attestation engagement, auditing is required to provide reasonable assurance for its conclusions. Traditional auditing has limited capacity to handle unstructured data and is usually based on audit sampling techniques, which can lead to the neglect of important audit evidence during the auditing process and result in a higher audit risk,
Xiaojia Wang, Ziqing Luo, Chaoxu Mu
wiley   +1 more source

Deep learning-based natural language processing for critical care identification in pediatric emergency department. [PDF]

BMC Emerg Med
Kim JA, Cho S, Hwang M, Lee D, Jeon J, Lee R, Lee C, Kim J, Bae W.   +8 more
europepmc   +1 more source

Align What Truly Matters: Pedestrian‐Relevant Hierarchical Parsing Network for Text‐Based Person Retrieval

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Fine‐grained alignment is crucial for text‐based person retrieval, which searches for relevant pedestrian images using a text query. However, background clutter and semantically vacuous words can cause interference and misalignment, hindering retrieval performance.
Jiajun Su, Yifan Shi, Pudu Liu, Jianqing Zhu, Huanqiang Zeng, Liu Liu, Zhen Lei   +6 more
wiley   +1 more source

Text mining methods for automated data extraction from health technology assessment reports of medicines using classical natural language processing and generative artificial intelligence. [PDF]

JAMIA Open
Versteeg JW, De Bruin ML, Schermer M, Nadi Najafabadi S, Mitra M, Leopold C, Mantel-Teeuwisse AK, Goettsch WG, Bloem LT.   +8 more
europepmc   +1 more source

Natural Language Processing for Substance Use Disorder Information Extraction: A Systematic Literature Review. [PDF]

Curr Addict Rep
Wyse RJ, Samuels DC, Sanchez-Roige S, Schirle L, Rhoten BA, Lee SY, Jeffery AD.   +6 more
europepmc   +1 more source