Utilizing AI Techniques for the Perimenopause to Menopause Transition

In the domain of women's health, the perimenopause to menopause transition stands out as a critical yet often misunderstood experience. Spanning several years before menopause, the perimenopause phase introduces a myriad of symptoms that impact a significant percentage of women globally. The distressing nature of these symptoms is underscored by the fact that while most subside within five years, a substantial minority endure them for up to 12 years. Comprehending and mitigating the impact of perimenopausal symptoms on women's health is an imperative challenge demanding a solution. Utilizing AI Techniques for the Perimenopause to Menopause Transition confronts the challenges faced by women during this pivotal period of change, employing cutting-edge deep learning approaches to identify, analyze, and address the associated symptoms. The book commences by elucidating the fundamental principles of perimenopause, providing readers with a robust foundation to comprehend the biological intricacies at play. Advanced machine learning techniques are then explored beyond conventional diagnostic methods, enabling a more nuanced identification and analysis of key menopausal symptoms. Statistical tools offer insights into global patterns of women's health. As methodologies are explored, the ethical landscape surrounding the collection of sensitive female health data is navigated. Addressing security and privacy concerns becomes paramount in the quest to harness AI for the betterment of women's health. Further enhancing the book's utility is an exploration of smart menopause sensors and their integration with diverse AI models. It transcends theoretical exploration; it becomes a practical guide for a diverse audience. Medical practitioners, healthcare providers, researchers, data scientists, and individuals experiencing perimenopause or menopause will find invaluable insights. Moreover, it holds significance for professionals in public health policies, educational institutions, and the pharmaceutical and health-tech industries. Case studies that illuminate real-world applications are presented, making this book an indispensable resource for anyone intrigued by the intersection of health and technology.

Roohi Sille has done PhD in Computer Science and Engineering, M.Tech in Artificial Intelligence and Neural Networks from University of Petroleum and Energy Studies, Dehradun in 2014. Her B.Tech is in Biomedical Engineering from Bundelkhand University, Jhansi (2012). She is currently working as Assistant Professor in UPES, Dehradun. Her research area is Machine Learning, Deep Learning and Image Processing. She has 8 years of experience in teaching.

Dr. Tanupriya Choudhury completed his undergraduate studies in Computer Science and Engineering at the West Bengal University of Technology in Kolkata (2004-2008), India, followed by a Master's Degree in the same field from Dr. M.G.R University in Chennai, India (2008-2010). In 2016, he successfully obtained his PhD degree from Jagannath University Jaipur. With a total of 14 years of experience in both teaching and research, Dr. Choudhury holds the position of Professor at CSE Department, Symbiosis Institute of Technology, Symbiosis International University, Pune, Maharashtra, 412115, India and also he is holding Visiting Professor at Daffodil International University Bangladesh and Director Research (Honorary) at AI University, Montana US. Prior to this role, he served Graphic Era Hill University Dehradun (Research Professor), UPES Dehradun (Professor), Amity University Noida (Assistant Professor), and other prestigious academic institutions (Dronacharya College of Engineering Gurgaon,Lingaya's University Faridabad, Babu Banarsi Das Institute of Technology Ghaziabad, Syscon Solutions Pvt. Ltd. Kolkata etc.). Recently recognized for his outstanding contributions to education with the Global Outreach Education Award for Excellence in Best Young Researcher Award at GOECA 2018. His areas of expertise encompass Human Computing, Soft Computing, Cloud Computing, Data Mining among others. Notably accomplished within his field thus far is filing 25 patents and securing copyrights for 16 software programs from MHRD (Ministry of Human Resource Development). He has actively participated as an attendee or speaker at numerous National and International conferences across India and abroad. With over hundred plus quality research papers (Scopus) authored to date on record; Dr. Choudhury has also been invited as a guest lecturer or keynote speaker at esteemed institutions such as Jamia Millia Islamia University India , Maharaja Agersen College (Delhi University), Duy Tan University Vietnam etc. He has also contributed significantly to various National/ International conferences throughout India and abroad serving roles like TPC chair/ member and session chairperson. As an active professional within the technical community; Dr.Choudhury holds lifetime membership with IETA (International Engineering & Technology Association) along with being affiliated with IEEE (Institute of Electrical and Electronics Engineers), IET(UK) (Institution of Engineering & Technology UK),and other reputable technical societies. Additionally, he is associated with corporate entities and serves as a Technical Adviser for Deetya Soft Pvt. Ltd., Noida, IVRGURU, and Mydigital360.He is also serving a Editor's in reputed Journals. He currently serves as the Honorary Secretary in IETA (Indian Engineering Teacher's Association-India), alongside his role as the Senior Advisor Position in INDO-UK Confederation of Science, Technology and Research Ltd., London, UK and International Association of Professional and Fellow Engineers-Delaware-USA.