Computer-Aided Diagnosis †

A provider's ability to make correct decisions regarding patient care is predicated on the correct identification of a patient's diagnoses. However, the process of developing diagnostic certainty remains a challenging task despite an increasingly sophisticated array of available diagnostic modalities and techniques. Clinicians need support to integrate a broad range of findings from these tools along with a patient's symptoms and signs. This chapter discusses the evolution and utility of computer-aided diagnostic decision support systems including recent developments in neural networks, microarray technology, and syndromic surveillance. Keywords: diagnostic decision support; Bayesian analysis; belief networks; decision trees; neural networks; microarray technology; syndromic surveillance

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