Early Detection Of Mental Health Disorders By Social Media Monitoring
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Early Detection Of Mental Health Disorders By Social Media Monitoring
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Author : Fabio Crestani
language : en
Publisher: Springer Nature
Release Date : 2022-09-14
Early Detection Of Mental Health Disorders By Social Media Monitoring written by Fabio Crestani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-14 with Technology & Engineering categories.
eRisk stands for Early Risk Prediction on the Internet. It is concerned with the exploration of techniques for the early detection of mental health disorders which manifest in the way people write and communicate on the internet, in particular in user generated content (e.g. Facebook, Twitter, or other social media). Early detection technologies can be employed in several different areas but particularly in those related to health and safety. For instance, early alerts could be sent when the writing of a teenager starts showing increasing signs of depression, or when a social media user starts showing suicidal inclinations, or again when a potential offender starts publishing antisocial threats on a blog, forum or social network. eRisk has been the pioneer of a new interdisciplinary area of research that is potentially applicable to a wide variety of situations, problems and personal profiles. This book presents the best results of the first five years of the eRisk project which started in 2017 and developed into one of the most successful track of CLEF, the Conference and Lab of the Evaluation Forum.
Advances In Information Retrieval
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Author : Jaap Kamps
language : en
Publisher: Springer Nature
Release Date : 2023-03-16
Advances In Information Retrieval written by Jaap Kamps and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-16 with Computers categories.
The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, and 12 reproducibility papers, 10 doctoral consortium papers were carefully reviewed and selected from 489 submissions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search.
Exploring Psychology Social Innovation And Advanced Applications Of Machine Learning
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Author : Raygoza-L., Maria E.
language : en
Publisher: IGI Global
Release Date : 2025-03-06
Exploring Psychology Social Innovation And Advanced Applications Of Machine Learning written by Raygoza-L., Maria E. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-06 with Computers categories.
Machine learning (ML algorithms can be used to better understand human behavior in its various developmental stages and to assist in addressing psychological issues. Additionally, in the realm of mental health and well-being, algorithms can assist with early detection of disorders and customization of treatments as well as personalize recommendations and suggestions based on user behavior. By focusing on user experience and usability, ML may be used to address challenges faced by private enterprises and social issues. Exploring Psychology, Social Innovation and Advanced Applications of Machine Learning explores the relationships between human psychology and machine learning technology, enabling researchers to delve into areas such as user interface design, ethics in artificial intelligence, and the social impact of algorithms. Furthermore, it promotes interdisciplinary collaboration by bringing together perspectives from different fields, which could stimulate new research and innovative approaches in the field of machine learning. Covering topics such as industrial processes, digital therapy, and machine vision, this book is an excellent resource for psychologists, computer scientists, engineers, healthcare practitioners, educators, business leaders, policymakers, professionals, researchers, scholars, academicians, and more.
Digital Phenotyping Digital Biomarkers To Monitor Psychiatric Disorders
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Author : Jennifer H. Barnett
language : en
Publisher: Frontiers Media SA
Release Date : 2022-08-29
Digital Phenotyping Digital Biomarkers To Monitor Psychiatric Disorders written by Jennifer H. Barnett and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-29 with Medical categories.
Advances In Information Retrieval
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Author : Matthias Hagen
language : en
Publisher: Springer Nature
Release Date : 2022-04-05
Advances In Information Retrieval written by Matthias Hagen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-05 with Computers categories.
This two-volume set LNCS 13185 and 13186 constitutes the refereed proceedings of the 44th European Conference on IR Research, ECIR 2022, held in April 2022, due to the COVID-19 pandemic. The 35 full papers presented together with 11 reproducibility papers, 13 CLEF lab descriptions papers, 12 doctoral consortium papers, 5 workshop abstracts, and 4 tutorials abstracts were carefully reviewed and selected from 395 submissions. Chapters “Leveraging Customer Reviews for E-commerce Query Generation” and “End to End Neural Retrieval for Patent Prior Art Search” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Future Of Ai In Medical Imaging
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Author : Sharma, Avinash Kumar
language : en
Publisher: IGI Global
Release Date : 2024-03-11
Future Of Ai In Medical Imaging written by Sharma, Avinash Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-11 with Computers categories.
Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes.
Mastering Ai For Healthcare
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Author : Nilashis Roy
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-04-30
Mastering Ai For Healthcare written by Nilashis Roy and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.
TAGLINE Harness AI-led Revolution to Deliver Smarter, Faster, and Better Healthcare. KEY FEATURES ● Comprehensive coverage of AI tools, use cases, and strategies in healthcare ● Real-world examples from telemedicine, diagnostics, and EHR systems ● Thoughtful exploration of AI ethics, adoption barriers, and future directions DESCRIPTION Artificial Intelligence is rapidly becoming indispensable in modern healthcare—reshaping how we diagnose, treat, and deliver care. Mastering AI for Healthcare offers a clear, structured journey through this transformation, helping readers understand the critical role AI plays in improving clinical outcomes and operational efficiency. The book begins with foundational AI concepts tailored for healthcare professionals, establishing a solid base in machine learning, neural networks, and data science. It then guides readers through practical applications across the care continuum—exploring how predictive analytics can forecast disease risks, how AI powers telemedicine and remote monitoring systems, and how it enhances clinical decision-making through smarter, data-driven EHR systems. Each chapter builds with real-world examples, case studies, and implementation frameworks, offering clarity on emerging tools like computer vision for diagnostics, personalized treatment algorithms, and intelligent automation in hospital workflows. Whether you're a healthcare professional, researcher, or policymaker, this book provides the insights you need to stay ahead in a tech-driven world. Don’t get left behind—embrace the tools shaping the future of medicine and lead the change with confidence. WHAT WILL YOU LEARN ● Grasp essential AI concepts and their relevance to healthcare systems ● Apply predictive analytics to real-world patient and clinical scenarios ● Utilize AI in telehealth, remote monitoring, and digital health platforms ● Strengthen decision-making through AI-powered EHR and clinical support ● Interpret AI-driven diagnostic tools and imaging technologies ● Recognize ethical, legal, and operational challenges in AI integration WHO IS THIS BOOK FOR? This book is tailored for healthcare professionals, AI enthusiasts, clinicians, biomedical engineers, health informaticians, medical students, digital health entrepreneurs, IT consultants, researchers, and policymakers interested in healthcare innovation. A basic understanding of healthcare systems and data or technology concepts will enrich the learning experience. TABLE OF CONTENTS 1. Introducing AI in Healthcare 2. AI Fundamentals for Healthcare 3. Predictive Analysis in Healthcare 4. Artificial Intelligence in Telemedicine Remote Patient Monitoring 5. AI in Clinical Decision Support and Electronic Health Record 6. Imaging and Diagnosis Using AI 7. Challenges and Limitations of AI in Healthcare 8. Future of AI in Healthcare Index
Advances In Intelligent Systems And Digital Applications
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Author : Noreddine Gherabi
language : en
Publisher: Springer Nature
Release Date : 2025-08-12
Advances In Intelligent Systems And Digital Applications written by Noreddine Gherabi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-12 with Computers categories.
This book serves as a comprehensive reference, providing cutting-edge knowledge on intelligent systems and digital applications. It covers theoretical foundations and significant issues in machine learning, deep learning, and data analytics. Each chapter concludes with a detailed bibliography for further in-depth reading.Divided into two sections—Foundations and Applications—the book offers a complete source of information on its theme. The chapters include concepts, algorithms, figures, graphs, and tables to enhance readability. The target audience includes researchers, practitioners, and postgraduate and graduate students developing or utilizing artificial intelligence algorithms in various applications.
The New Era Of Precision Medicine
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Author : Mohamad Bydon
language : en
Publisher: Elsevier
Release Date : 2023-12-01
The New Era Of Precision Medicine written by Mohamad Bydon and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Science categories.
The New Era of Precision Medicine: What it Means for Patients and the Future of Healthcare highlights aspects of precision medicine in different specialties and offers an understanding of how a biological background integrates into clinical guidelines, the therapeutic efficacy of interventions and disease prevention. The book explains how precision healthcare differs among countries, as well as how there is a collaboration among many labs to share resources and knowledge to advance the field across the globe. The book also discusses the cultural differences and cultural sensitivity that may be involved in the precision medicine approach. Finally, with regard to safety and quality outcomes, the book presents a range of current and possible future concerns related to those outcomes. Precision medicine is the new standard of quality healthcare delivery. It aims to optimize patient safety and clinical outcomes, enhance the efficacy of therapeutic interventions, and facilitate disease prevention, offering a way to customize patient care, decision-making, and clinical practice. - Highlights the characteristics of precision medicine in different areas - Offers an understanding of how a biological background integrates into clinical guidelines, the therapeutic efficacy of interventions, and disease prevention - Emphasizes how medicine has transformed from a "one-size-fits-all approach to personalized medicine influenced by individual characteristics - Introduces complex topics delivered in terms that target a broad range of audiences
Demystifying The Role Of Natural Language Processing Nlp In Mental Health
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Author : Mishra, Ashutosh
language : en
Publisher: IGI Global
Release Date : 2025-03-13
Demystifying The Role Of Natural Language Processing Nlp In Mental Health written by Mishra, Ashutosh and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Medical categories.
Natural Language Processing (NLP) is transforming mental health care by enabling early detection, diagnosis, and intervention for conditions such as depression, PTSD, and suicidal ideation. Advanced AI models like BioBERT and Med-BERT help analyze speech patterns, cognitive behaviors, and psychological markers to support medical practitioners in providing more effective and timely care. By leveraging deep learning and AI-driven assessments, NLP can enhance behavioral monitoring, improve treatment personalization, and optimize mental health interventions. As global mental health challenges continue to rise, integrating NLP into healthcare systems presents a crucial step toward more accessible, data-driven, and proactive mental health support. Demystifying the Role of Natural Language Processing (NLP) in Mental Health explores the latest advancements in NLP for mental health care, highlighting its role in diagnosing and treating conditions like depression, PTSD, and suicidal ideation. It examines AI-driven models, speech analysis, and behavioral monitoring techniques that enhance early intervention and personalized treatment strategies. Covering topics such as suicidal identification, emotional recognition, and patient response, this book is an excellent resource for mental health practitioners, medical practitioners, social workers, computer scientists, professionals, researchers, scholars, academicians, and more.