Predictive Analysis in Health Care System Using AI

Agarwal, Reshu

doi:10.1007/978-981-16-6265-2_8

Cited by 4 publications

(1 citation statement)

References 20 publications

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“…In conjunction with the integration of contextual awareness, predictive analysis systems can lead to a significant leap forward in personalized care and efficiency. Using verified data and handbooks, alongside leveraging historical data and machine learning algorithms predictive analysis systems can have the ability to forecast future health trends, potential complications, and patient needs before they become apparent [25]. For healthcare providers, this means being able to proactively adjust care plans, allocate resources more effectively, and intervene at earlier stages, potentially improving patient outcomes.…”

Section: Predictive Analysismentioning

confidence: 99%

Optimizing Healthcare Delivery: Investigating Key Areas for AI Integration and Impact in Clinical Settings

Shah,

Chen

2024

Preprint

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This study investigates the pivotal areas where Artificial Intelligence (AI) integration in healthcare warrants further exploration, leveraging insights from Boston Specialists, a forefront healthcare provider in AI adoption. Employing a qualitative case study approach, enriched by in-depth interviews and comprehensive literature reviews, we identify three main domains for potential AI expansion: scheduling efficiency, clinical documentation, and AI-driven medical research. Our results underscore the substantial enhancements AI brings to operational workflows and patient care, notably through improved scheduling systems, accuracy in medical documentation, and the facilitation of data-driven research methodologies. These findings suggest a critical need for healthcare institutions to further invest in AI technologies, focusing on these key areas to harness AI's full potential in personalizing care, optimizing efficiency, and advancing medical knowledge. The study concludes with a call for continued investigation into AI's integration within healthcare settings, emphasizing the importance of a supportive organizational infrastructure, ethical considerations, and data security in realizing AI's transformative impact on healthcare delivery and patient outcomes.

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Section: Predictive Analysismentioning

confidence: 99%

Optimizing Healthcare Delivery: Investigating Key Areas for AI Integration and Impact in Clinical Settings

Shah,

Chen

2024

Preprint

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Decoding dietary myths: The role of ChatGPT in modern nutrition

Arslan

2024

Clinical Nutrition ESPEN

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Routing-Based Interference Mitigation in SDN Enabled Beyond 5G Communication Networks: A Comprehensive Survey

et al. 2023

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The outright aim of Beyond Fifth Generation (B5G) communication is to bring a revolution in Quality of Service (QoS) through enhanced Mobile Broadband (eMBB), Ultra-Reliable Low Latency Communication (URLLC), and massive Machine Type Communication (mMTC). Thereby, due to this massive expansion in the communication paradigm, interference is bound to surface unexpected challenges in the wireless domain. Thus, interference mitigation is a foundational aim in the research paraphernalia of B5G communication. Presently, Software Defined Networking (SDN) is emerging to empower wireless communication with centralized routing-based interference mitigation. With this premise, we aim to present a focused review on SDN-based interference mitigation in wireless communication. Initially, we discuss current research horizon in the subject domain and briefly explore literature for routing-based interference mitigation. Thereby, we analyze the potential of SDN through evaluation of existing solutions for interference mitigation in B5G communication. We conclude our survey by highlighting prominent future research directions in SDN-based interference mitigation.

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Predictive Analysis in Health Care System Using AI

Cited by 4 publications

References 20 publications

Optimizing Healthcare Delivery: Investigating Key Areas for AI Integration and Impact in Clinical Settings

Optimizing Healthcare Delivery: Investigating Key Areas for AI Integration and Impact in Clinical Settings

Decoding dietary myths: The role of ChatGPT in modern nutrition

Routing-Based Interference Mitigation in SDN Enabled Beyond 5G Communication Networks: A Comprehensive Survey

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