Literature Review on Application of Natural Language Processing and Machine Learning Techniques for Risk Prediction of Mucormycosis

Abstract

Abstract: Mucormycosis is an infection caused by fungi capable of angio-invasion that is associated with high mortality and morbidity. Recently, An AI device was developed for detecting mucormycosis using Fourier Transform Infra-Red(FITR) sensors where human serum samples were tested using Fourier Transform Infra- Red Scanner. To obtain health outcome for various diseases, Clinical NLP has been extensively utilised. Word Embedding techniques and Feature Engineering Models in NLP convert clinical text data from EHR(Electronic Health Record) into useful format that serve as input for machine learning classification algorithms.