PHI

PHI stands for Protected Health Information. It refers to any information about health status, provision of health care, or payment for health care that can be linked to a specific individual. PHI is regulated by the Health Insurance Portability and Accountability Act (HIPAA) in the United States. In the context of data science, PHI is important because it is often used in medical research and analysis. However, because of its sensitive nature, it must be handled carefully to protect the privacy of individuals. This includes ensuring that data is de-identified before it is used for research purposes, and that appropriate security measures are in place to prevent unauthorized access or disclosure.

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Augmentation: Augmentation refers to the process of enhancing or improving the performance of a machine learning model by adding additional data or features to the existing dataset. This can be done by either adding more data to the training set or by ge ... Read More >>
Chi-squared Distribution: In statistics, the chi-squared distribution is a probability distribution that is used to test the independence of two events. It is also used to test the goodness of fit of a model to a set of observed data. The distribution is characteriz ... Read More >>
Instructions: Unsupervised learning is a type of machine learning where the model is trained on a dataset without any labeled output. The goal of unsupervised learning is to identify patterns and relationships in the data, and group similar data points t ... Read More >>

PHI

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