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ChatGPT as an important tool in organizational management: A review of the literature
ChatGPT is an emerging technology that revolutionizes organizational practices,
fundamentally altering how individuals in organizations search for, generate, and utilize …
fundamentally altering how individuals in organizations search for, generate, and utilize …
Multimodal missing data in healthcare: A comprehensive review and future directions
The rapid advancement in healthcare data collection technologies and the importance of
using multimodal data for accurate diagnosis leads to a surge in multimodal data …
using multimodal data for accurate diagnosis leads to a surge in multimodal data …
Towards a unified utilitarian ethics framework for healthcare artificial intelligence
FB Emdad, SM Ho, B Ravuri, S Hussain - ar**_and_Evaluating_Data-Driven_Heart_Disease_Prediction_Models_by_Ensemble_Methods_on_Different_Data_Mining_Tools/links/67365a79f255d572866b3966/Develo**-and-Evaluating-Data-Driven-Heart-Disease-Prediction-Models-by-Ensemble-Methods-on-Different-Data-Mining-Tools.pdf" data-clk="hl=hr&sa=T&oi=gga&ct=gga&cd=5&d=8748075392616169168&ei=JSDAZ8W6GoC96rQP4Ibo-AY" data-clk-atid="0P44ZThoZ3kJ" target="_blank">[PDF] researchgate.net
Develo** and evaluating data-driven heart disease prediction models by ensemble methods on different data mining tools
Heart disease stands as a critical global health issue contributing towards the global
mortality rate in a significant manner. By extracting patterns and relationships from medical …
mortality rate in a significant manner. By extracting patterns and relationships from medical …
Can attention be used to explain ehr-based mortality prediction tasks: A case study on hemorrhagic stroke
Stroke is a significant cause of mortality and morbidity, necessitating early predictive
strategies to minimize risks. Traditional methods for evaluating patients, such as Acute …
strategies to minimize risks. Traditional methods for evaluating patients, such as Acute …
The application of explainable artificial intelligence (XAI) in electronic health record research: A sco** review
Machine Learning (ML) and Deep Learning (DL) models show potential in surpassing
traditional methods including generalised linear models for healthcare predictions …
traditional methods including generalised linear models for healthcare predictions …
Potential Renovation of Information Search Process with the Power of Large Language Model for Healthcare
This paper explores the development of the Six Stages of Information Search Model and its
enhancement through the application of the Large Language Model (LLM) powered …
enhancement through the application of the Large Language Model (LLM) powered …
Uncovering the interplay of demographics and healthcare provider availability on cms hcc risk scores for disabled beneficiaries
This study illuminates the impact of demographic characteristics and the availability of
healthcare providers on the CMS HCC risk score for disabled beneficiaries. Capitalizing on …
healthcare providers on the CMS HCC risk score for disabled beneficiaries. Capitalizing on …