Mining intelligent solution to compensate missing data context of medical IoT devices

When gathering experimental data generated by medical IoT devices, the perennial problem is missing data due to recording instruments, errors introduced which cause data to be discarded, or the data is missed and lost. When faced with this problem, the researcher has several options: (1) insert what appears to be the best replacement for the missing element, (2) discard the entire instance, (3) use one of the algorithms that will consider the data and then suggest viable candidate values for replacement. We discuss the options and introduce another mining intelligent technique based upon Markov models.