Aug 5, 2019 · This work aims to study the influence of the use of textual features in automatic prior authorization evaluation, by using Text Mining, Natural ...
This work aims to study the influence of the use of textual features in automatic prior authorization evaluation, by using Text Mining, Natural Language ...
Furthermore, in [13] , textual features were proposed to further enhance the prior-authorization learning process. Different bag of words techniques were used ...
Abstract—In Brazil, a current health problem is the low capacity of meeting an increasing demand for medical services.
Measuring the impact of readability features in fake news detection ... A study of the influence of textual features in learning medical prior authorization.
However, PA-related administrative tasks can contribute to burden on health care providers. This study examines how such tasks affect treatment decisions. STUDY ...
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Also in a bid to improve the learning of the preauthorization process, [4] trained Random Forest, K-Nearest Neighbor (KNN) and SVM models on patients' ...
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Mar 19, 2023 · Doctors are already testing the potential for LLMs in medicine by asking tools such as ChatGPT to draft insurance appeals or preauthorization ...
Aug 1, 2024 · This issue brief provides background on the prior authorization process and its role in Medicaid, including federal regulations governing prior ...
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AI is a powerful and disruptive area of computer science, with the potential to fundamentally transform the practice of medicine and the delivery of healthcare.