Modeling Biomedical Data
نویسندگان
چکیده
ion axis Concepts/ ontology axis Experiments/ documentation/ evidence axis Figure 3.12 Abstraction, evidence, and concepts coordinates. cept can have several experimental results or evidences related to it. For example, we may define five different levels (molecule, cell, tissue, organ, and system) for human anatomical data, and each data source can be classified into a certain level. Figure 3.13 demonstrates the data source integrations from the horizontal and vertical approaches. The horizontal approach integrates data sources at the same abstraction level. In contrast, the vertical approach integrates data sources from different abstraction levels. In order to integrate data in different abstraction levels, we need to establish connections/interactions between them. It will be necessary to propose some biological relationships that can describe the relationships and interactions between data at the different levels as building blocks of vertical data integration.
منابع مشابه
Biomedical Visual Computing: Case Studies and Challenges Biomedical Case Studies Case Study 3: Medical Visualization on Mobile Platforms Biomedical Visual Computing Challenges
Advances in computational geometric modeling, imaging, and simulation let researchers build and test models of increasing complexity, generating unprecedented amounts of data. As recent research in biomedical applications illustrates, visualization will be critical in making this vast amount of data usable; it’s also fundamental to understanding models of complex phenomena. Biomedical Visual Co...
متن کاملCloud Based Metalearning System for Predictive Modeling of Biomedical Data
Rapid growth and storage of biomedical data enabled many opportunities for predictive modeling and improvement of healthcare processes. On the other side analysis of such large amounts of data is a difficult and computationally intensive task for most existing data mining algorithms. This problem is addressed by proposing a cloud based system that integrates metalearning framework for ranking a...
متن کاملA Multi-Level Process Mining Framework for Correlating and Clustering of Biomedical Activities using Event Logs
Cost, time and resources are major factors affecting the quality of hospitals business processes. Bio-medical processes are twisted, unstructured and based on time series making it difficult to do proper process modeling for them. On other hand, Process mining can be used to provide an accurate view of biomedical processes and their execution. Extracting process models from biomedical code sequ...
متن کاملTowards an Ontology for Conceptual Modeling
Conceptual modeling can be viewed as a way of expressing human understanding of a body of knowledge. This view can be viewed as distinct from standard notions of data modeling and ontology, which seek to directly describe data and reality. We define conceptual interoperability, give use cases and requirements for it, and introduce the Conceptual Model Ontology (CMO), which satisfies the discuss...
متن کاملOn Poisson-Akash Distribution and its Applications
2 θ + respectively. Shanker [2] has discussed its mathematical and statistical properties including its shape, moments, skewness, kurtosis, hazard rate function, mean residual life function, stochastic orderings, mean deviations, distribution of order statistics, Bonferroni and Lorenz curves, Renyi entropy measure, stress-strength reliability, amongst others along with the estimation of paramet...
متن کاملLarge Scale Biomedical Modeling and Simulation From Concept to Results
The complexity of biomedical modeling problems advances concurrently with the state of the art in high performance computing. Many problems of interest are moving beyond the capability of the single workstation environment and investigators are finding the need to use supercomputers with more memory and greater performance to run their simulations. The tasks of large and small scale modeling ar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007