How Does Data Cleaning Impacts Data Science?
What is the purpose of data cleaning? Data cleaning aims to improve a dataset’s quality and reliability by identifying and correcting or removing errors, inconsistencies, and irrelevant data. Removing errors and inconsistencies can also help reduce the risk of biases...
Information communication technology (ICT) In Health Care
Electronic health records (EHRs) enable workers at healthcare institutions to input patient data into a central, digitized system that’s accessible to relevant stakeholders such as medical personnel, pharmacies, and insurers. Systems can be integrated with user...