Practice Management

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

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The complete mitochondrial genome of a marbled eelpout (Perciformes: Zoarcidae).

In this study, the complete mitochondrial genome of the marbled eelpout, Taranetz & Andriashev, 193...

Machine Learning-Based Prediction Models for 30-Day Readmission after Hospitalization for Chronic Obstructive Pulmonary Disease.

While machine learning approaches can enhance prediction ability, little is known about their abilit...

Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients.

Symptoms are common in patients on maintenance hemodialysis but identification is challenging. New i...

Modeling of Brain-Like Concept Coding with Adulthood Neurogenesis in the Dentate Gyrus.

Mammalian brains respond to new concepts via a type of neural coding termed "concept coding." During...

Can We Improve Prediction of Adverse Surgical Outcomes? Development of a Surgical Complexity Score Using a Novel Machine Learning Technique.

BACKGROUND: An optimal method to quantify surgical complexity using patient comorbidities derived fr...

Leveraging Semantics in WordNet to Facilitate the Computer-Assisted Coding of ICD-11.

The International Classification of Diseases (ICD) not only serves as the bedrock for health statist...

Clinical-learning versus machine-learning for transdiagnostic prediction of psychosis onset in individuals at-risk.

Predicting the onset of psychosis in individuals at-risk is based on robust prognostic model buildin...

Gated spiking neural network using Iterative Free-Energy Optimization and rank-order coding for structure learning in memory sequences (INFERNO GATE).

We present a framework based on iterative free-energy optimization with spiking neural networks for ...

A two-stage deep learning approach for extracting entities and relationships from medical texts.

This work presents a two-stage deep learning system for Named Entity Recognition (NER) and Relation ...

A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records.

BACKGROUND: Manual coding of phenotypes in brain radiology reports is time consuming. We developed a...

Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study.

BACKGROUND: Deep learning has the potential to transform health care; however, substantial expertise...

Robust computation with rhythmic spike patterns.

Information coding by precise timing of spikes can be faster and more energy efficient than traditio...

Identification of the expressome by machine learning on omics data.

Accurate annotation of plant genomes remains complex due to the presence of many pseudogenes arising...

Mechanistic interpretation of non-coding variants for discovering transcriptional regulators of drug response.

BACKGROUND: Identification of functional non-coding variants and their mechanistic interpretation is...

Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data.

Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified ...

Automatically determining cause of death from verbal autopsy narratives.

BACKGROUND: A verbal autopsy (VA) is a post-hoc written interview report of the symptoms preceding a...

Neural Mechanisms for Accepting and Rejecting Artificial Social Partners in the Uncanny Valley.

Artificial agents are becoming prevalent across human life domains. However, the neural mechanisms u...

Estimation of allele-specific fitness effects across human protein-coding sequences and implications for disease.

A central challenge in human genomics is to understand the cellular, evolutionary, and clinical sign...

Speech Technology Progress Based on New Machine Learning Paradigm.

Speech technologies have been developed for decades as a typical signal processing area, while the l...

A novel matrix of sequence descriptors for predicting protein-protein interactions from amino acid sequences.

Protein-protein interactions (PPIs) play an important role in the life activities of organisms. With...

An empirical evaluation of deep learning for ICD-9 code assignment using MIMIC-III clinical notes.

BACKGROUND AND OBJECTIVE: Code assignment is of paramount importance in many levels in modern hospit...

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