Objective The study sought to develop and evaluate a knowledge-based data augmentation
method to improve the performance of deep learning models for biomedical natural …

This paper proposes a method of text mining to automatically retrieve knowledge from
patents on how to recycle and reuse a waste. The main novelties are the introduction of a set …

Background The fact that medical terms require special expertise and are becoming
increasingly complex makes it difficult to employ natural language processing techniques in …

A data set of 550 elements was analyzed during the study, containing data on books: title,
author, number of reviews, price, and rating. Smoothing methods were used to average local …

The English language is immensely rich in biomedical resources, including an
overwhelming amount of medical data, scientific literature, and popular health-related texts …

Sistem peringkas teks otomatis berita kesehatan multi bahasa dapat digunakan oleh
pembaca untuk meringkas teks berita kesehatan berbagi terjemahanya untuk kebutuhan …

We present a synopsis of publications focused on machine learning (ML) or artificial
intelligence (AI) applications in healthcare for the year 2019. We appreciate the work of …

Abstract Evidence-Based Medicine (EBM) is the conscientious, explicit and judicious use of
current best evidence in making decisions about the care of individual patients. Billions of …