Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Purpose – Data preparation plays an important role in data mining as most real life data sets contained missing data.  aims to investigate different treatment methods for missing data. Design/methodology/approach –  introduces, analyses and compares ll‐established treatment methods for missing data and proposes new methods based on naive Bayesian classifier. These methods have been implemented and compared using a real life geriatric hospital dataset. Findings – In the case where a large proportion of the data is missing and many attributes have missing data, treatment methods based on naive Bayesian classifier perform very ll. Originality/value –  proposes an effective missing data treatment method and offers a viable approach to predict inpatient length of stay from a data set with many missing values.
['Peng Liu', 'Elia El-Darzi', 'Lei Lei', 'Christos Vasilakis', 'Panagiotis Chountas', 'Wei Huang']
I am writing a research paper on a idea Applying data mining algorithms to inpatient dataset with missing values
[{"from": "human", "value": "I am writing a research paper on a idea Applying data mining algorithms to inpatient dataset with missing values"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Purpose \u2013 Data preparation plays an important role in data mining as most real life data sets contained missing data.  aims to investigate different treatment methods for missing data. Design/methodology/approach \u2013  introduces, analyses and compares ll\u2010established treatment methods for missing data and proposes new methods based on naive Bayesian classifier. These methods have been implemented and compared using a real life geriatric hospital dataset. Findings \u2013 In the case where a large proportion of the data is missing and many attributes have missing data, treatment methods based on naive Bayesian classifier perform very ll. Originality/value \u2013  proposes an effective missing data treatment method and offers a viable approach to predict inpatient length of stay from a data set with many missing values."}]