1 research outputs found
An Approach to Find Missing Values in Medical Datasets
Mining medical datasets is a challenging problem before data mining
researchers as these datasets have several hidden challenges compared to
conventional datasets.Starting from the collection of samples through field
experiments and clinical trials to performing classification,there are numerous
challenges at every stage in the mining process. The preprocessing phase in the
mining process itself is a challenging issue when, we work on medical datasets.
One of the prime challenges in mining medical datasets is handling missing
values which is part of preprocessing phase. In this paper, we address the
issue of handling missing values in medical dataset consisting of categorical
attribute values. The main contribution of this research is to use the proposed
imputation measure to estimate and fix the missing values. We discuss a case
study to demonstrate the working of proposed measure.Comment: 7 pages,ACM Digital Library, ICEMIS September 201