About the Book
With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators.
The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.
Table of Contents:
Chapter 1: Advancements in AI for Mental Health: Exploring ASD, ADHD and Schizophrenia, Video Datasets, and Future Directions. Chapter 2: Blockchain Applications in Neurological Disorders and Oncology. Chapter 3: Deep Scattering Wavelet Network and Marine Predators Algorithm-Based Stuttering Disfluency Detection. Chapter 4: AI in Neurological Disorders : A Systematic Review. Chapter 5: Malformation Risk Prediction with Machine Learning Modelling for Pregnant Women with Epilepsy. Chapter 6: The Computational Techniques in Mutational Disease Prediction: A Comprehensive and Comparative Review. Chapter 7: Comparative Analysis of U-Net and DeepLab for Accurate Brain MRI Segmentation. Chapter 8: A Comprehensive Review on Depression Detection Based on Text from Social Media Posts. Chapter 9: Artificial Intelligence in Radiation Oncology. Chapter 10: A Comprehensive Overview of AI Applications in Radiation Oncology. Chapter 11: Melanoma Skin Cancer Identification on Embedded Devices Using Digital Hair Removal and Transfer Learning. Chapter 12: A Deep Hybrid System for Effective Diagnosis of Breast Cancer. Chapter 13: Identification of Brain Cancer Using Medical Hyperspectral Image Analysis. Chapter 14: An Efficient Deep CNN-Based AML Detection: Overcoming Small Database Limitations in Medical Applications. Chapter 15: Effective Use of Computational Biology and Artificial Intelligence in the Domain of Medical Oncology. Chapter 16: A Computer Aided Ensemble Method for Early and Accurate Detection of Coronary Artery Disease
About the Author :
Dr. Mrutyunjaya Panda holds a Ph.D. degree in Computer Science from Berhampur University. He obtained his Master in Communication System Engineering from University College of Engineering, Burla, under Sambalpur University (Now, VSSUT, Burla), MBA in HRM from IGNOU, New Delhi, Bachelor in Electronics and Tele Communication Engineering from Utkal University. He is having 23 years of teaching and research experience and presently working as Associate Professor and Head in the Department of Computer Science and Applications, Utkal University, Vani Vihar, Bhubaneswar, Odisha, India. He is a member of KES (Australia), IAENG (Hong Kong), ACEEE(I), IETE(I), CSI(I), ISTE(I). He has published about 130 research papers in International and National journals and conferences of repute. He has also published 15 book chapters, edited five books in Springer, Taylor and Francis, IGI Global etc., Guest editor of International Journal of Computational Intelligence studies (IJCIStudies), Inderscience, UK and authored two text books on Soft Computing Techniques by Universal science press and Modern approaches of Data Mining by Narosa Publications to his credit. He is a program committee member of various international conferences. He is acting as a member of editorial board and active reviewer of various international journals and conferences. He is an Associate editor of International Journal of cognitive informatics and natural intelligence (IJCINI), IGI Global, USA and Journal of network and Innovative Computing (JNIC), MIR Labs, USA, Editorial board member of International Journal of knowledge engineering and soft data paradigms, (IJKESDP) Inderscience, UK, and reviewer of journals including: IEEE Access, Applied soft computing, Elsevier, Journal of King Saud University of computer and Information sciences, Elsevier, Wiley WIREs, Neural Computing and Applications, Springer to name a few. His active area of research includes Data Mining, Granular Computing, Big Data Analytics, Internet of Things, Intrusion detection system, Social networking, wireless sensor networks, Image Processing, Text and Opinion Mining and Bioinformatics, Natural language processing etc.
Dr. Ajith Abraham presently working as Dean of Faculty of Computing and Data Science at FLAME University, Pune India. Dr. Abraham was the Founding Director of Machine Intelligence Research Labs (MIR Labs), a Not-for-Profit Scientific Network for Innovation and Research Excellence connecting Industry and Academia. The Network with HQ in Seattle, USA has currently more than 1,000 scientific members from over 100 countries. As an Investigator / Co-Investigator, he has won research grants worth over 100+ Million US$ from Australia, USA, EU, Italy, Czech Republic, France, Malaysia and China. Dr. Abraham works in a multi-disciplinary environment involving machine intelligence, cyber-physical systems, Internet of things, network security, sensor networks, Web intelligence, Web services, data mining and applied to various real-world problems. In these areas he has authored / coauthored more than 1,400+ research publications out of which there are 100+ books covering various aspects of Computer Science. One of his books was translated to Japanese and few other articles were translated to Russian and Chinese. About 1,200+ publications are indexed by Scopus and over 1,000+ are indexed by Thomson ISI Web of Science. Some of the articles are available in the ScienceDirect Top 25 hottest articles. He has 1,100+ co-authors originating from 40+ countries. Dr. Abraham has nearly 50,000+ academic citations (h-index of 104 as per google scholar). He has given more than 150+ plenary lectures and conference tutorials (in 20+ countries). For his research, he has won seven best paper awards at prestigious International conferences held in Belgium, Canada Bahrain, Czech Republic, China and India. Since 2008, Dr. Abraham was the Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (which has over 200+ members) and served as a Distinguished Lecturer of IEEE Computer Society representing Europe (2011-2013). Dr. Abraham was the editor-in-chief of Engineering Applications of Artificial Intelligence (EAAI) and serves/served the editorial board of over 15 International Journals indexed by Thomson ISI. He is actively involved in the organization of several academic conferences, and some of them are now annual events. Dr. Abraham received Ph.D. degree in Computer Science from Monash University, Melbourne, Australia (2001) and a Master of Science Degree from Nanyang Technological University, Singapore (1998). More information at: http://www.softcomputing.net/
Dr Gopi Biju holds a M.B.B.S degree from Medical College, Trivandrum in the year 1981 and BCCPM (PALLIATIVE MEDICINE) from General Hospital, Ernakulam, in 2020. He is the recipient of the national fellowship of palliative medicine 2021-22, in institute of palliative medicine, calicut medical college, kozhokode, kerala, India and the global fellowship program in palliative medicine from Pallium India, Trivandrum, Kerala. He has worked as Consultant Palliative Physician, Palliative Physician and General Practitioner since 1984 till date in several medical colleges and hospitals suc as Khorfakkan Hospital, Sharjah,U.A.E and Pain and Palliative Care Dept, Lakeshore Hospital, Nettoor, Ernakulam, Kerala, India to name a few. He has very rich clinical experiences in and around the globe, some of which are as follows:
Clinical Experience and Job Description:
Started the Pain and Palliative Home Care facilities for the first time in Lakeshore Hospital during the Covid Pandemic. Made all the SOPs for the smooth functioning of the Department. Extended the facility by opening IP facilities and admitting patients for Terminal care under Palliative Care Dept, Consultation for Palliative care from other in-house departments, like Oncology, Pulmonology, Cardiology, Neurology and Physical Rehabilitation. Home Care facility is well established now.
Started a Joint Venture called “Doctor on Wheels” in Association with Signature Aged Care, Chalikkavattom, Ernakulam, Kerala with the view of providing Palliative and curative care especially for elderly patients who have difficulty in visiting doctors in the hospitals due to the restrictions due to the Lockdown during the Corona Pandemic. This has been a blessing for a lot of old people and their families who were in a dilemma as to what to do for the care of their aged relatives who could not be taken to hospitals for treatment and follow up.
Worked in Peace Mission Centre, as Palliative Physician taking care of terminally ill patients with cancer and other end of stage chronically ill patients after obtaining my BCCPM course certification.
Worked in Al Ghail Medical Centre, Al Ghail, R.A.K, as General Practitioner looking after workers in the Al Ghail Free Zone and the local patients residing in the area.
Worked in Reem Al Nahda Medical Centre as General Practitioner conducting Family Medical Practice.
Completed Basic life support course as per American Heart Association guidelines conducted by Eduscope International LLC, Dubai Health Care City, Dubai, U.A.E, and became a BLS Provider on 22nd August 2016
· In Metro Medical Centre and Dr. Sanjay Medical Centre, I was working as a General Practitioner looking after the company patients in the clinic as well as in the company clinics.
· Grand Sunny Medical Centre, is situated in the Industrial area no.2 in Sharjah, U.A.E. It is a part of Dr. Sunny Healthcare Group which is a well-established healthcare group in the Northern Emirates with several quality awards from the Govt. of Sharjah. I was the Medical Director and General Practitioner in the clinic which had a dental dept. and a female GP dept. in addition to the Male GP dept. We usually treated common illnesses and injuries among the labour class population who visited the clinic from the surrounding industrial area.
· In Vitalis Medical Centre, Bangalore, India, I was working as a General Practitioner doing all the routine general practice in the multispecialty clinic with state-of-the-art healthcare facilities.
· In Gopi Medical Clinic, Sharjah, I have set up a family practice clinic in 1993, in the Industrial area where low-income families and labourers were living, near their places of work. I was one of the first to implement a tailor-made Medical Insurance Policy for Factory workers in the area when no such medical insurance facility was available in the country. We had computerized our medical records from the inception of the clinic when it was a rarity in private practice. We had a system in place even in the early days for the safe disposal of hazardous medical waste when no such facility was available at that time.
· In Kuwaiti Hospital, Sharjah, I had worked in the Paediatric department and with the Anesthesiology Consultant had set up the Paediatric ICU and NICU. We used to manage critically ill children in our department without the need to refer to other tertiary hospital.
· In Khorfakkan Hospital, Sharjah, I joined the new Hospital in the Accident and Emergency Dept. which was not fully functional. On the instruction of the Director of the Hospital at the time, we made the A & E Dept. fully functional in time for the official opening of the Hospital by the Ruler of Sharjah in 1984.
· At present, he is working as Consultant Palliative Physician at Pain and Palliative Care Dept, Lakeshore Hospital, Nettoor, Ernakulam, Kerala, India. He is the member of the Indian Medical Association, Trivandrum Branch.
Dr. Reuel Ajith finished an MD degree in June 2021 from the Faculty of Medicine in Vilnius University, Lithuania. His research interests are in Internal medicine with a focus on neuro-degenerative diseases. He was in a team of researchers that developed the usage of artificial intelligence and free-speech to detect early signs of Parkinson’s disease (https://doi.org/10.1016/j.engappai.2018.09.018). The early detection mechanism used signal and speech processing techniques integrated with machine learning algorithms. He is affiliated with Machine Intelligence Research Labs (MIR Labs) dealing with AI and health care related projects.
