Tag: Weakly Supervised Learning
Multiple Instance Learning (MIL) is a form of weakly supervised learning where training instances are arranged in sets, called bags, and a label is provided for the entire bag, opposedly to the instances themselves. This allows to leverage weakly labeled data, which is present in many business problems as labeling data is often costly: Medical […]
Written by Paulo Maia on May 18, 2021
Insurance codes are used by people’s health plan to make decisions about how much your doctor and other healthcare providers should be paid. There is some variety of coding systems currently used [1]: Current Procedural Terminology (CPT) codes, used by physicians to describe the services they provide. Healthcare Common Procedure Coding System (HCPCS), used by […]
Written by Paulo Maia on May 5, 2020
In Artificial Intelligence, it is important to measure the quality of the data we are trying to use. For instance, if we want to classify a cervix image according to the degree of cancer, how do we know if that image follows the acquisition protocol and can be used for diagnosing the patient [1] so […]
Written by Paulo Maia on Feb 27, 2020