Practice Management

Latest AI and machine learning research in practice management for healthcare professionals.

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miRandola 2017: a curated knowledge base of non-invasive biomarkers.

miRandola (http://mirandola.iit.cnr.it/) is a database of extracellular non-coding RNAs (ncRNAs) tha...

Development of an Automatic Coding System for Digestive Endoscopies.

Digestive endoscopies, along with all medical procedures in France are coded with the CCAM. This tas...

Comparative Analysis of Algorithmic Approaches for Auto-Coding with ICD-10-AM and ACHI.

Clinical coding is done using ICD-10-AM (International Classification of Diseases, version 10, Austr...

Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models.

The use of electronic health records for risk prediction models requires a sufficient quality of inp...

Estimating a Bias in ICD Encodings for Billing Purposes.

ICD encoded diagnoses are a popular criterion for eligibility algorithms for study cohort recruitmen...

An efficient graph kernel method for non-coding RNA functional prediction.

MOTIVATION: The importance of RNA protein-coding gene regulation is by now well appreciated. Non-cod...

FARNA: knowledgebase of inferred functions of non-coding RNA transcripts.

Non-coding RNA (ncRNA) genes play a major role in control of heterogeneous cellular behavior. Yet, t...

Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners.

Machine-learning based approaches to speech enhancement have recently shown great promise for improv...

Predicting Length of Stay for Obstetric Patients via Electronic Medical Records.

Obstetric care refers to the care provided to patients during ante-, intra-, and postpartum periods....

Determining Multiple Sclerosis Phenotype from Electronic Medical Records.

BACKGROUND: Multiple sclerosis (MS), a central nervous system disease in which nerve signals are dis...

Defining a Patient Population With Cirrhosis: An Automated Algorithm With Natural Language Processing.

OBJECTIVES: The objective of this study was to use natural language processing (NLP) as a supplement...

Electrical and Optical Activation of Mesoscale Neural Circuits with Implications for Coding.

UNLABELLED: Artificial activation of neural circuitry through electrical microstimulation and optoge...

LncRNA ontology: inferring lncRNA functions based on chromatin states and expression patterns.

Accumulating evidences suggest that long non-coding RNAs (lncRNAs) perform important functions. Geno...

An Introduction to Natural Language Processing: How You Can Get More From Those Electronic Notes You Are Generating.

Electronically stored clinical documents may contain both structured data and unstructured data. The...

A Pilot Ontology for Healthcare Quality Indicators.

Computerisation of quality indicators for the English National Health Service currently relies prima...

Automated Classification of Pathology Reports.

This work develops an automated classifier of pathology reports which infers the topography and the ...

Translating ICD-11 into French using lexical-based approach: a preliminary study.

To translate the 11th edition of the International Classification of Diseases (ICD-11) into French, ...

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