AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Medical Informatics

Showing 171 to 180 of 391 articles

Clear Filters

An evaluation method of risk grades for prostate cancer using similarity measure of cubic hesitant fuzzy sets.

Journal of biomedical informatics
Prostate cancer (PC) is more common cancer in older men. Then, the existing evaluation method of PC risk grades is based on the AJCC (American Joint Committee on Cancer) staging/scoring system. It utilizes the comprehensive risk data of the prostate-...

Using neural attention networks to detect adverse medical events from electronic health records.

Journal of biomedical informatics
The detection of Adverse Medical Events (AMEs) plays an important role in disease management in ensuring efficient treatment delivery and quality improvement of health services. Recently, with the rapid development of hospital information systems, a ...

Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks.

IEEE transactions on bio-medical engineering
Missing data is a ubiquitous problem. It is especially challenging in medical settings because many streams of measurements are collected at different-and often irregular-times. Accurate estimation of the missing measurements is critical for many rea...

relSCAN - A system for extracting chemical-induced disease relation from biomedical literature.

Journal of biomedical informatics
This paper proposes an effective and robust approach for Chemical-Induced Disease (CID) relation extraction from PubMed articles. The study was performed on the Chemical Disease Relation (CDR) task of BioCreative V track-3 corpus. The proposed system...

Utilizing soft constraints to enhance medical relation extraction from the history of present illness in electronic medical records.

Journal of biomedical informatics
Relation extraction between medical concepts from electronic medical records has pervasive applications as well as significance. However, previous researches utilizing machine learning algorithms judge the semantic types of medical concept pair menti...

PISTON: Predicting drug indications and side effects using topic modeling and natural language processing.

Journal of biomedical informatics
The process of discovering novel drugs to treat diseases requires a long time and high cost. It is important to understand side effects of drugs as well as their therapeutic effects, because these can seriously damage the patients due to unexpected a...

Predicting of anaphylaxis in big data EMR by exploring machine learning approaches.

Journal of biomedical informatics
Anaphylaxis is a life-threatening allergic reaction that occurs suddenly after contact with an allergen. Epidemiological studies about anaphylaxis are very important in planning and evaluating new strategies that prevent this reaction, but also in pr...

Identify and monitor clinical variation using machine intelligence: a pilot in colorectal surgery.

Journal of clinical monitoring and computing
Standardized clinical pathways are useful tool to reduce variation in clinical management and may improve quality of care. However the evidence supporting a specific clinical pathway for a patient or patient population is often imperfect limiting ado...

A comparison of word embeddings for the biomedical natural language processing.

Journal of biomedical informatics
BACKGROUND: Word embeddings have been prevalently used in biomedical Natural Language Processing (NLP) applications due to the ability of the vector representations being able to capture useful semantic properties and linguistic relationships between...

Identifying health information technology related safety event reports from patient safety event report databases.

Journal of biomedical informatics
OBJECTIVE: The objective of this paper was to identify health information technology (HIT) related events from patient safety event (PSE) report free-text descriptions. A difference-based scoring approach was used to prioritize and select model featu...