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Risk assessment of rare and complex diseases such as Neuroblastoma requires an efficient management of interdisciplinary data. Recent advances in genomic testing are revealing new diagnosis targets whose storage and analysis is becoming a big challenge. The use of Conceptual Models (CM) defining and structuring Neuroblastoma domain serves as a basis to determine the information required for diagnosing...
Effective data management of clinical information is well-known to be a very complex task. The breast cancer context provides a good example of how challenging the problem is in Information Systems terms. In fact, it is one of the basic problems faced by clinicians who work in this area. However, this problem is even bigger when clinicians and biologists try to relate these data to biological data...
Diagnosis and treatment of breast cancer is a complicated task which is aggravated by managing the information generated during these processes. All this information would be much more useful if it would be correctly managed in an efficient and well-structured information system. A Conceptual Schema of Breast Cancer in which all the concepts of the domain of diagnosis and treatment of this disease...
The heterogeneity and dispersion of genomic data that currently exists between the multiple genomic databases is a big problem for the geneticists when they look for information for their genomic diagnosis. This problem is especially important when it is referred to genetic data about breast cancer due to the large amount of data available about this disease caused by the high incidence in society...
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