Optimizing Patient Outcomes Through Multi Source Data Analysis In
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Optimizing Patient Outcomes Through Multi Source Data Analysis In Healthcare
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Author : John Joseph, Ferdin Joe
language : en
Publisher: IGI Global
Release Date : 2025-05-28
Optimizing Patient Outcomes Through Multi Source Data Analysis In Healthcare written by John Joseph, Ferdin Joe and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Computers categories.
The landscape of healthcare is transformed by the integration of advanced data analytics, especially in the realm of multi-source data analysis. By combining diverse datasets, such as electronic health records (EHRs), genetic information, wearable device data, and patient-reported outcomes, healthcare providers can gain a comprehensive understanding of a patient's health status. This approach creates more personalized treatment plans, enhances diagnostic accuracy, and supports early detection of potential health issues. Communication between various data sources allows for the identification of hidden trends and patterns, improving predictive capabilities and optimizing patient outcomes. As healthcare systems adopt this data-driven process, it is crucial to address challenges related to data privacy, integration, and the interpretation of complex datasets, ensuring the potential benefits of multi-source data analysis are realized in ethical and effective ways. Optimizing Patient Outcomes Through Multi-Source Data Analysis in Healthcare explores the transformative potential of big data and AI in healthcare, focusing on informed decision-making. It delves into the integration of vast, diverse datasets, analyzed through AI algorithms to enhance patient outcomes and operational efficiency. This book covers topics such as automation, machine learning, and neural networks, and is a useful resource for healthcare professionals, computer engineers, business owners, academicians, researchers, and data scientists.
Optimizing Patient Outcomes Through Multi Source Data Analysis In
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Author :
language : en
Publisher:
Release Date : 2025
Optimizing Patient Outcomes Through Multi Source Data Analysis In written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Interdisciplinary Work Of Science And Technology In Maternal And Child Care
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Author : DR. RISHI SONI
language : en
Publisher: Xoffencer International Book Publication house
Release Date : 2019-10-08
Interdisciplinary Work Of Science And Technology In Maternal And Child Care written by DR. RISHI SONI and has been published by Xoffencer International Book Publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-08 with Biography & Autobiography categories.
Artificial Intelligence (AI) is revolutionizing healthcare by enhancing predictive capabilities, particularly in managing pregnancy and delivery complications. This paper explores how AI, leveraging machine learning (ML) and deep learning (DL) techniques, can forecast potential complications during pregnancy and childbirth. Through an extensive review of existing literature and analysis of various AI methodologies, the paper evaluates AI's effectiveness in predicting complications such as preeclampsia, gestational diabetes, fetal distress, and postpartum haemorrhage. It discusses the methodologies used, presents results from recent studies, and highlights practical challenges including data quality, model interpretability, and clinical integration. The paper concludes with recommendations for future research and practical implementations to maximize AI's potential in obstetrics.
The Role Of Science And Technology In Modern Nursing Practices
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Author : DR. MANOJ BANDIL
language : en
Publisher: Xoffencerpublication
Release Date : 2020-06-17
The Role Of Science And Technology In Modern Nursing Practices written by DR. MANOJ BANDIL and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-17 with Biography & Autobiography categories.
Advanced Practice Nursing (APN) encompasses several roles that extend beyond traditional nursing responsibilities, providing comprehensive care in diverse healthcare settings. This paper explores the various advanced practice nursing roles, including Nurse Practitioners (NPs), Clinical Nurse Specialists (CNSs), Nurse Anesthetists (CRNAs), and Nurse Midwives (CNMs). By examining the scope of practice, responsibilities, and impact on patient care for each role, this study aims to provide a comparative analysis of advanced practice nursing roles, highlighting their contributions to the healthcare system. Advanced Practice Nursing, Nurse Practitioners, Clinical Nurse Specialists, Nurse Anesthetists, Nurse Midwives, Comparative Analysis Advanced Practice Nursing (APN) includes roles that build upon the foundational knowledge and skills of registered nurses, enabling them to provide a higher level of patient care. APNs are trained to perform complex assessments, make clinical decisions, and manage patient care in various settings. The four primary APN roles— Nurse Practitioners (NPs), Clinical Nurse Specialists (CNSs), Nurse Anesthetists (CRNAs), and Nurse Midwives (CNMs)—each have unique responsibilities and scopes of practice. This paper provides an overview of these advanced practice nursing roles, examining their distinct functions, educational requirements, and contributions to patient care.
Multidisciplinary Research In Arts Science Commerce Volume 24
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Author : Chief Editor- Biplab Auddya, Editor- Shagufta Shan, Dr.A.Sudarvizhi, Shweta Tiwari, Poorna Shree.T, Dr. Jay Prakash Rajak, Dr. Vinati Baurasi
language : en
Publisher: The Hill Publication
Release Date : 2025-04-11
Multidisciplinary Research In Arts Science Commerce Volume 24 written by Chief Editor- Biplab Auddya, Editor- Shagufta Shan, Dr.A.Sudarvizhi, Shweta Tiwari, Poorna Shree.T, Dr. Jay Prakash Rajak, Dr. Vinati Baurasi and has been published by The Hill Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Antiques & Collectibles categories.
Artificial Intelligence And Optimization Techniques For Smart Information System Generations
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Author : Aleem Ali
language : en
Publisher: CRC Press
Release Date : 2025-03-28
Artificial Intelligence And Optimization Techniques For Smart Information System Generations written by Aleem Ali and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Computers categories.
The text comprehensively focusses on the use of artificial intelligence and optimization techniques for creating smart information systems. Focuses on extracting information from blockchain repository using artificial intelligence and machine learning algorithms Presents deep learning models to identify and locate objects within images and videos, making it possible for machines to perform tasks such as self-driving cars, surveillance, and robotics Discusses artificial intelligence and optimization techniques for geographic information system (GIS) generation such as spatial data processing Covers artificial intelligence algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, and linear regression Illustrates topics such as image recognition, natural language processing, fraud detection, information system security, and intrusion detection system
Exploring The Advancements And Future Directions Of Digital Twins In Healthcare 6 0
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Author : Dubey, Archi
language : en
Publisher: IGI Global
Release Date : 2024-07-18
Exploring The Advancements And Future Directions Of Digital Twins In Healthcare 6 0 written by Dubey, Archi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-18 with Computers categories.
The healthcare industry is increasingly complex, demanding personalized treatments and efficient operational processes. Traditional research methods need help to keep pace with these demands, often leading to inefficiencies and suboptimal outcomes. Integrating digital twin technology presents a promising solution to these challenges, offering a virtual platform for modeling and simulating complex healthcare scenarios. However, the full potential of digital twins still needs to be explored mainly due to a lack of comprehensive guidance and practical insights for researchers and practitioners. Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0 is not just a theoretical exploration. It is a practical guide that bridges the gap between theory and practice, offering real-world case studies, best practices, and insights into personalized medicine, real-time patient monitoring, and healthcare process optimization. By equipping you with the knowledge and tools needed to effectively integrate digital twins into your healthcare research and operations, this book is a valuable resource for researchers, academicians, medical practitioners, scientists, and students.
Revolutionizing Data Science And Analytics For Industry Transformation
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Author : Manuel, Paul Devasahayam
language : en
Publisher: IGI Global
Release Date : 2025-01-31
Revolutionizing Data Science And Analytics For Industry Transformation written by Manuel, Paul Devasahayam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Computers categories.
The fields of data science and analytics are always evolving. By understanding and navigating the data-driven revolution, advancements can be made in domains such as healthcare, finance, education, and more. Harnessing the power of data in decision-making and problem-solving across industries, industries may advance their methods of data collection, data visualization, and predictive modeling. As such, it is important to stay abreast of the latest developments, methodologies, and trends in data-driven research. Revolutionizing Data Science and Analytics for Industry Transformation contributes to fostering collaboration, innovation, and excellence in data science research. It democratizes access to knowledge and empowers individuals and organizations to thrive in the data-driven era. Covering topics such as outcome prediction, deep reinforcement learning, and Mask Attention BERT Networks, this book is an excellent resource for data scientists, business professionals, policymakers, computer scientists, statisticians, engineers, professionals, researchers, scholars, academicians, and more.
Prosthodontics Revolution Modern Techniques In Dental Restorations
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Author : Dr Vikas Punia
language : en
Publisher: Inkbound Publishers
Release Date : 2022-05-10
Prosthodontics Revolution Modern Techniques In Dental Restorations written by Dr Vikas Punia and has been published by Inkbound Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-10 with Medical categories.
Discover the revolutionary techniques transforming dental restorations in prosthodontics. This book covers modern methods and materials, providing dental professionals with the knowledge to implement cutting-edge prosthodontic solutions for their patients.
Cloud Based Multi Modal Information Analytics
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Author : Tanushri Kaniyar
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Cloud Based Multi Modal Information Analytics written by Tanushri Kaniyar and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
"Cloud-Based Multi-Modal Information Analytics" is a groundbreaking book that explores the intersection of cloud computing and multi-modal data analysis. Authored by leading experts, it delves into extracting insights from diverse data types, including text, images, videos, and sensor data stored and processed in cloud environments. The book begins by laying a strong foundation in cloud computing principles, explaining key concepts like scalability, elasticity, and virtualization. It then discusses various techniques for processing and analyzing multi-modal data, highlighting the challenges and opportunities posed by today's vast amounts of heterogeneous data. Readers are guided through advanced analytics methodologies, machine learning algorithms, and data visualization techniques tailored for multi-modal data. Case studies and real-world examples show how cloud-based multi-modal information analytics can revolutionize industries such as healthcare, finance, transportation, and entertainment. The book also addresses the ethical and privacy implications of collecting and analyzing multi-modal data, encouraging critical reflection on responsible technology use. With comprehensive coverage and practical insights, "Cloud-Based Multi-Modal Information Analytics" is an indispensable resource for researchers, practitioners, and students interested in leveraging cloud computing to extract actionable intelligence from diverse data sources.