Different Data Mining Approaches Based Medical Text Data

Table 1

The detailed algorithm information for missing values in medical text data.

Algorithm	Principle	Purpose
Multiple imputation [14, 15]	Estimate the value to be interpolated, and add different noises to form multiple groups of optional interpolation values; select the most appropriate interpolation value according to a certain selection basis.	Repeat the simulation to supplement the missing value
Expectation maximization [16]	Compute maximum likelihood estimates or posterior distributions with incomplete data.	Supplement missing values
K-nearest neighbors [17, 18]	Select its K closest neighbors according to a distance metric and estimate missing data with the corresponding mode or mean.	Estimate missing values with samples