Call for Papers
Soft Computing is a branch of artificial computational intelligence that employs a variety of statistical, probabilistic and optimization techniques that allows computers to “learn” from past examples and to detect hard-to-discern patterns from large, noisy or complex data sets. This capability is particularly well suited to medical applications, especially those that depend on complex proteomic and genomic measurements. Cancer research is a field of bio-informatics, where we can use classification, clustering algorithms and so on based on soft computing techniques for better prediction and understand ability in an earlier stage. Further soft computing techniques can be used to substantially to improve the accuracy of predicting cancer susceptibility, recurrence and mortality. The purpose of this book is to invite Chapters on Review, Research, Findings, and Analysis that would help to upcoming research community covering recent advances in the therapeutic intervention of cancer using soft computing techniques.
Also this book will promote the challenging task of designing the novel soft computing based algorithms intended to diagnose and treat the cancer disease. Potential topics include but are not limited to the following;
Microarray array based cancer prediction.
Imaging in the assessment of cancer.
Personalized Cancer Medicine.
Automated Cancer Surgery.
e-Health for Cancer Patients.
Automated Cancer Surgery
Medicine Recommendation System
Interested contributors are requested to send full page abstract, keywords along with references and author details to; [email protected]
Proposal submission last date; 25th May, 2019
Dr. Prasanalakshmi Balaji, King Khalid University, Saudi Arabia.
Dr. Ganeshkumar Pugalendhi, Anna University, India.
Dr. Noohu Abdulla Khan, King Khalid University, Saudi Arabia.
Credits and Sources
| CDTS 2019 : Call For Book Chapter in Cancer Diagnosis and Treatment- Soft Computing Approach|