Abstract Machine learning is frequently being leveraged to tackle problems in the health
sector including utilization for clinical decision-support. Its use has historically been focused …

Clinical data are increasingly being mined to derive new medical knowledge with a goal of
enabling greater diagnostic precision, better-personalized therapeutic regimens, improved …

Abstract Coronavirus disease 2019 (COVID-19) is a novel disease resulting from infection
with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has quickly …

Quick and accurate medical diagnoses are crucial for the successful treatment of diseases.
Using machine learning algorithms and based on laboratory blood test results, we have built …

This article reviews recent advances in applying natural language processing (NLP) to
Electronic Health Records (EHRs) for computational phenoty**. NLP-based …

Abstract Laboratory data from Electronic Health Records (EHR) are often used in prediction
models where estimation bias and model performance from missingness can be mitigated …

The data in a patient's laboratory test result is a notable resource to support clinical
investigation and enhance medical research. However, for a variety of reasons, this type of …

Abstract Machine learning is able to leverage large amounts of data to infer complex
patterns that are otherwise beyond the capabilities of rule-based systems and human …

Purpose A new kind of coronavirus, the SARS-CoV-2, started the biggest pandemic of the
century. More than a million people have been killed by Covid-19. Because of this, quick …

Background Modern artificial intelligence (AI) and machine learning (ML) methods are now
capable of completing tasks with performance characteristics that are comparable to those of …