Predicting Pregnancy Complications Through Artificial Intelligence And Machine Learning
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Author |
: Kumar |
Publisher |
: |
Total Pages |
: 0 |
Release |
: 2023 |
ISBN-10 |
: 1668489783 |
ISBN-13 |
: 9781668489789 |
Rating |
: 4/5 (83 Downloads) |
Synopsis Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning by : Kumar
Author |
: Satishkumar, D. |
Publisher |
: IGI Global |
Total Pages |
: 429 |
Release |
: 2023-10-09 |
ISBN-10 |
: 9798369317198 |
ISBN-13 |
: |
Rating |
: 4/5 (98 Downloads) |
Synopsis Technological Tools for Predicting Pregnancy Complications by : Satishkumar, D.
The lack of comprehensive, innovative insights into the intricate world of pregnancy complication prediction is a pressing concern, as these complications can severely impact the health and wellbeing of pregnant patients. As the complexities of maternal healthcare continue to evolve, scholars grapple with the challenge of staying at the forefront of research and innovation in this critical field. The unpredictability of pregnancy complications poses significant risks to positive patient outcomes, demanding novel approaches to diagnosis and prevention. The academic community seeks a solution that can bridge the gap between traditional research and the transformative potential of technological advancements in healthcare. Technological Tools for Predicting Pregnancy Complications not only identify the problem but offer an authoritative solution. It serves as a beacon of knowledge for academic scholars, providing a holistic exploration of how Artificial Intelligence (AI) and Machine Learning (ML) technologies can revolutionize maternal healthcare. With a laser focus on predictive models, comprehensive health data analysis, and innovative algorithmic approaches, this book equips scholars with the tools they need to navigate the ever-evolving landscape of pregnancy complications. Academic scholars will find a treasure trove of insights, spanning from the fundamentals of AI and ML in healthcare to the application of IoT devices and wearable sensors for expectant mothers.
Author |
: Kumar, D. Satish |
Publisher |
: IGI Global |
Total Pages |
: 386 |
Release |
: 2023-09-25 |
ISBN-10 |
: 9781668489765 |
ISBN-13 |
: 1668489767 |
Rating |
: 4/5 (65 Downloads) |
Synopsis Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning by : Kumar, D. Satish
Artificial intelligence models are being used to make labor and delivery safer for mothers and newborns. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. This is a critical area of study as maternal and infant health are indispensable for a healthy society. Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning considers the recent advances, challenges, and best practices of artificial intelligence and machine learning in relation to pregnancy complications. Covering key topics such as pregnancy complications, wearable sensors, and healthcare technologies, this premier reference source is ideal for nurses, doctors, computer scientists, medical professionals, industry professionals, researchers, academicians, scholars, instructors, and students.
Author |
: European Federation for Medical Informatics. International Congress |
Publisher |
: IOS Press |
Total Pages |
: 1064 |
Release |
: 2009 |
ISBN-10 |
: 9781607500445 |
ISBN-13 |
: 1607500442 |
Rating |
: 4/5 (45 Downloads) |
Synopsis Medical Informatics in a United and Healthy Europe by : European Federation for Medical Informatics. International Congress
This volume contains the proceedings of the twenty-second International Conference on Medical Informatics Europe MIE 2009, that was held in Sarajevo, Bosnia and Herzegovina, from 30 August to 2 September 2009. The scientific topics present in this proceedings range from national and trans-national eHealth roadmaps, health information and electronic health record systems, systems interoperability and communication standards, medical terminology and ontology approaches, and social networks to Web, Web 2.0, nd Semantic Web solutions for patients, health personnel, and researchers. Furthermore, they include quality assurance and usability of medical informatics systems, specific disease management and telemedicine systems, including a section on devices and snsors, drug safety, clinical decision support and medical expert systems, clinical practice guidelines and protocols, as well as issues on privacy and security. Moreover, bioinformatics, biomedical modeling and simulation, medical imaging and visualizatio and, last but not least, learning and education through medical informatics systems are parts of the included topics.
Author |
: Smaranda Belciug |
Publisher |
: Springer Nature |
Total Pages |
: 283 |
Release |
: 2022-10-25 |
ISBN-10 |
: 9783031181542 |
ISBN-13 |
: 3031181549 |
Rating |
: 4/5 (42 Downloads) |
Synopsis Pregnancy with Artificial Intelligence by : Smaranda Belciug
This book aims to provide a refreshing, friendly and exciting manner artificial intelligence (AI) theoretical concepts and practical methods applied in obstetrics and gynaecology. The book follows the nine and a half months journey from preconception till birth alongside with AI. It discusses topics such as the poignant role of AI in improving the change of women getting pregnant; AI methods for detecting congenital anomalies in first and second trimester foetal sonography; how AI aids physicians in determining what type of birth should be deployed (vaginal versus caesarean); how AI can predict pre-eclampsia, preterm birth, mortality, birth weight, miscarriage, postpartum depression, etc. Additionally, it provides information on AI used for perinatal depression, for the evaluation of the relationship between pollutants and pregnancy outcome and even how AI tools can improve physician training in labour and delivery. The book is designed for bioinformaticians, obstetric and gynaecology researchers and physicians, and all those who wish to learn how to explore, analyse, find novel potential solutions for the challenging domains: obstetrics and gynaecology. Likewise, this book will be useful for application engineers who wish to use AI paradigms in areas such as engineering and science too.
Author |
: D. Jude Hemanth |
Publisher |
: CRC Press |
Total Pages |
: 251 |
Release |
: 2023-10-23 |
ISBN-10 |
: 9781000964684 |
ISBN-13 |
: 100096468X |
Rating |
: 4/5 (84 Downloads) |
Synopsis Combating Women's Health Issues with Machine Learning by : D. Jude Hemanth
The main focus of this book is the examination of women’s health issues and the role machine learning can play as a solution to these challenges. This book will illustrate advanced, innovative techniques/frameworks/concepts/machine learning methodologies, enhancing the future healthcare system. Combating Women’s Health Issues with Machine Learning: Challenges and Solutions examines the fundamental concepts and analysis of machine learning algorithms. The editors and authors of this book examine new approaches for different age-related medical issues that women face. Topics range from diagnosing diseases such as breast and ovarian cancer to using deep learning in prenatal ultrasound diagnosis. The authors also examine the best machine learning classifier for constructing the most accurate predictive model for women’s infertility risk. Among the topics discussed are gender differences in type 2 diabetes care and its management as it relates to gender using artificial intelligence. The book also discusses advanced techniques for evaluating and managing cardiovascular disease symptoms, which are more common in women but often overlooked or misdiagnosed by many healthcare providers. The book concludes by presenting future considerations and challenges in the field of women’s health using artificial intelligence. This book is intended for medical researchers, healthcare technicians, scientists, programmers and graduate-level students looking to understand better and develop applications of machine learning/deep learning in healthcare scenarios, especially concerning women’s health conditions.
Author |
: Moshe Hod |
Publisher |
: CRC Press |
Total Pages |
: 530 |
Release |
: 2019-11-27 |
ISBN-10 |
: 9781351783606 |
ISBN-13 |
: 1351783602 |
Rating |
: 4/5 (06 Downloads) |
Synopsis New Technologies and Perinatal Medicine by : Moshe Hod
The potential impact of work being conducted in genomics, proteomics, and metabolomics upon clinical practice for gynecologists is immense but not yet completely appreciated. This groundbreaking text from international experts examines the newest topics on the perinatal agenda and gives clinicians a real look into the future via the newest methodologies.
Author |
: De-Shuang Huang |
Publisher |
: Springer Nature |
Total Pages |
: 535 |
Release |
: |
ISBN-10 |
: 9789819755813 |
ISBN-13 |
: 9819755816 |
Rating |
: 4/5 (13 Downloads) |
Synopsis Advanced Intelligent Computing Technology and Applications by : De-Shuang Huang
Author |
: Jaber, Wassim |
Publisher |
: IGI Global |
Total Pages |
: 313 |
Release |
: 2023-12-07 |
ISBN-10 |
: 9798369303702 |
ISBN-13 |
: |
Rating |
: 4/5 (02 Downloads) |
Synopsis Artificial Intelligence in the Age of Nanotechnology by : Jaber, Wassim
In the world of academia, scholars and researchers are confronted with a rapidly expanding knowledge base in Artificial Intelligence (AI) and nanotechnology. The integration of these two groundbreaking fields presents an intricate web of concepts, innovations, and interdisciplinary applications that can overwhelm even the most astute academic minds. Staying up to date with the latest developments and effectively navigating this complex terrain has become a pressing challenge for those striving to contribute meaningfully to these fields. Artificial Intelligence in the Age of Nanotechnology is a transformative solution meticulously crafted to address the academic community's knowledge gaps and challenges. This comprehensive book serves as the guiding light for scholars, researchers, and students grappling with the dynamic synergy between AI and Nanotechnology. It offers a structured and authoritative exploration of the core principles and transformative applications of these domains across diverse fields. By providing clarity and depth, it empowers academics to stay at the forefront of innovation and make informed contributions.
Author |
: Satishkumar, D. |
Publisher |
: IGI Global |
Total Pages |
: 368 |
Release |
: 2024-03-28 |
ISBN-10 |
: 9798369326169 |
ISBN-13 |
: |
Rating |
: 4/5 (69 Downloads) |
Synopsis Using Real-Time Data and AI for Thrust Manufacturing by : Satishkumar, D.
In the dynamic world of manufacturing, the industry has grappled with ongoing issues such as expensive machine maintenance, operational inefficiencies, and the production of defective products. The need for informed decision-making to maintain quality, meet deadlines, and prevent disruptions is more crucial than ever. Enter Using Real-Time Data and AI for Thrust Manufacturing, a groundbreaking book that addresses these challenges head-on. As Industry 4.0 transforms the manufacturing sector through the integration of the Internet of Things (IoT) and artificial intelligence (AI), this book serves as a beacon for academic scholars and industry professionals alike, offering profound insights into the world of AI-driven industry solutions. The objective of this book is clearto revolutionize the manufacturing sector by leveraging human expertise and AI-driven data technologies. By delving into the realms of Industry 4.0, IoT, and AI, the book systematically tackles issues such as costly downtime, inefficient processes, and the production of substandard products. With a focus on turning raw data into meaningful insights, the book explores AI applications like machine learning and deep learning, natural language processing, and machine vision. From predictive maintenance to improved demand forecasting, quality assurance, inspection, and warehouse automation, the book positions AI as the linchpin of "Industry 4.0," ensuring not only cost savings but also safety improvements and supply-chain efficiencies.