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Inconsistencies and Uncertainties in Data.
Depends on factors of data, like - sampling methods, mode of capture, place, time, intervals, parameters, accuracy, completeness, etc.
Can lead to variations in meaning, interpretation, processes, and challenges involved.
Completeness, Correctness of data relating to symptoms and pre-existing conditions. And their interpretations.
Experience of personnel recording the data.
Types of equipment and tools used to record and capture.
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The nature of data, their Heterogeneous sources of structured, semi-structured and unstructured data.
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