Medical drug classification is very much needed, and designing a personalized health care system where treatment decisions are given based on individual patient conditions considering different ...

This research proposes a machine learning (ML) framework to identify potential “dual-use” drugs—compounds that may be therapeutically effective across both domains—by analysing drug-target interaction ...

Scientists are using machine learning to find new treatments among thousands of old medicines.

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs ...

The objective of the project is to classify the Patients condition using the review given by the patients after using the drug given for the particular condition. The reviews of the patients are ...

In general, the sentiment analysis of healthcare, especially of drug experiences of users, might give substantial importance to how to enhance public health and make sound judgments. In this paper, ...

Objectives To identify ML tools in hospital settings and how they were implemented to inform decision-making for patient care through a scoping review. We investigated the following research questions ...

A machine learning algorithm using EMR data can accurately predict the category of a hospitalized patient's next BG measurement. Further studies should determine the effectiveness of integration of ...

There are two ways for computers to identify drug interactions: one is to identify known drug interactions, and the other is to predict unknown drug interactions. In this paper, we review the research ...