This paper argues that fuzzy representations are appropriate in applications where there are major sources of imprecision and/or uncertainty. Case studies of fuzzy approaches to specific problems of medical diagnosis and classification are described in support of this argument. The case studies are in the areas of categorical consistency, diagnostic monitoring and scoring. The solutions use a v...

Digital watermarking has attained a position of overwhelming interest in image processing research as a new method of protecting multimedia content from unauthorized copying, as the informal transmission and manipulation of digital data creates intimidation for inventors and providers. This paper presents a new watermarking system employing five bit LSB strategy for copyright protection of imag...

The purpose of this review is to highlight the advances in technology and understanding in the field of breath analysis for medical diagnosis. A critical review of the methods of breath collection, treatment, and analysis is given, highlighting the problems facing the field and areas where promising advancement has been made. One particular area of interest is centered around electronic noses, ...

The modeling addresses the medical diagnosis and a world system often presents problems. Regarding the normality of human physiological functions, the processes increase in complexity. They become less amenable to direct mathematical modeling based on physical laws since they may be distributed, stochastic, non-linear and time-varying, uncertain, etc. In this work, the system using artificial n...

In this paper, we propose a novel cooperative heterogeneous medical diagnosis system composed from humans and artificial agents specialized in medical diagnosis and assistant agents. The cooperative problem solving by the proposed diagnosis system combine the human and artificial systems advantages in the medical diagnosis problems solving. 2000 Mathematics Subject Classification: Artificial In...

In most medical AI programs, the use of notions such as causal relationships, temporal patterns, and aggregate disease categories has been limited. Yet studies of clinicians' behavior reveal that a diagnostic or therapeutic program must consider a case at various levels of detail to integrate overall understanding with detailed knowledge. To explore these issues, Ramesh Patil, Peter Szolovits, ...

Computer-based diagnostic decision support systems (DSS) will play an increasingly important role in health care. Due to the inherent probabilistic nature of medical diagnosis, a DSS should preferably be based on a probabilistic model. In particular Bayesian networks provide a powerful and conceptually transparent formalism for probabilistic modeling. A drawback is that Bayesian networks become...

Since mid July Steve Pauker, Jerome Kassirer, and I (Gerald Jay Sussman) have been observing the diagnostic process of expert physicians with the goal of abstracting the underlying procedures being followed. One purpose of this position paper is to summarize our preliminary conclusions. I will attempt to pinpoint those aspects of the process we feel we understand, and where we are confused or u...