Identifying Disease-Treatment Relation Using ML and NLP Approach

Abstract

This paper presents the efficient machine learning algorithm and techniques used in extracting disease and treatment related sentences from short text published in medical papers. . In this paper better machine learning algorithms and techniques are used for extracting disease treatment relations from various medical related articles. The proposed system gives the user exactly the Disease and Treatment related sentences by avoiding unnecessary information, advertisements from the medical web page namely Medline. For making better medical decisions we can make use of this proposed technique.

Multilabelled Optimal Feature Classification Procedure for High Dimensional Bio Medical Data

“…This Perform gives the base to development of innovation structure that makes promptly accessible all the pertinent insights about treatment and sicknesses. The apparatus that's structured with these strategies, for example, Natural Language Processing (NLP) and AI (ML) has capacity to seek out proper brief composed content data in regards to diseases and coverings [1] [2]. The work presents different ML and subtleties for features.…”