Abstract: This work presents the construction of a deep analytics based cancer prevention mechanism (DACPM) balancing proactive and reactive approaches. It defines human biological system from the perspectives of application, computing, networking, data and security schema of an information system. The strategic moves of DACPM include deep learning, intelligent reasoning, threat analytics, optimal mix of proactive and reactive approaches, rational healthcare payment function and budget plan and adaptive secure multi-party computation. The performance of human biological system is expected to be verified through the properties of adaptive secure multiparty computation: fairness, correctness, accountability, transparency, rationality, trust, commitment; authentication, authorization, correct identification, privacy, audit; safety, reliability, consistency, liveness, deadlock-freeness, reachability, resiliency, robustness and stability of application integration. The second version of this work is specifically focused on reasoning nine test cases through DACPM in depth to fight against the epidemic of cancer: (i) cancer of mind, (ii) neural control and coordination : brain cancer, (iii) chemical coordination and integration : breast cancer (iv) digestion and absorption : liver, pancreas, stomach and colorectal cancer (v) respiratory : lung cancer, (vi) body fluids circulation : blood cancer, (vii) excretory : renal cancer and urinary bladder cancer, (viii) locomotion and movement: bone cancer and (ix) reproductive system : ovarian and testis cancer. It analyzes the complexity of the mechanism in terms of computational cost of deep learning algorithm. The human biological system is assumed to be a computer. It is not a rational thinking that the most of the causes of cancer are due to bad luck; it is still not known enough about the causes and prevention measures of cancer. Deep analytics does not necessarily mean deep learning algorithm, it is also associated with intelligent reasoning – analytical, logical, common sense, case based reasoning and also perception to fight against the epidemic of cancer. A human agent must have common sense healthcare knowledge base for proper biological system control through intelligent self-assessment, self-confidence, life-style, diet control and right decision making at right time. It demands the necessity of learning the basic concept of reasoning and common sense healthcare through an effective knowledge management system based on deep analytics and intelligent broadcast communication.
Keywords: Deep Analytics, Cancer Prevention, Proactive Approach, Reactive Approach, Bad Luck, Complexity Analysis, Deep Learning, CNN, SVM, Intelligent reasoning.