Practice Management

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

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Gene Ontology-based function prediction of long non-coding RNAs using bi-random walk.

BACKGROUND: With the development of sequencing technology, more and more long non-coding RNAs (lncRN...

Towards automated clinical coding.

BACKGROUND: Patients' encounters with healthcare services must undergo clinical coding. These codes ...

Supporting biomedical ontology evolution by identifying outdated concepts and the required type of change.

The consistent evolution of ontologies is a major challenge for systems using semantically enriched ...

Controlling Complexity of Cerebral Cortex Simulations-I: CxSystem, a Flexible Cortical Simulation Framework.

Simulation of the cerebral cortex requires a combination of extensive domain-specific knowledge and ...

MCRiceRepGP: a framework for the identification of genes associated with sexual reproduction in rice.

Rice is an important cereal crop, being a staple food for over half of the world's population, and s...

The computerized scoring algorithm for the autobiographical memory test: updates and extensions for analyzing memories of English-speaking adults.

The Autobiographical Memory Test (AMT) has been central in psychopathological studies of memory dysf...

Delta activity encodes taste information in the human brain.

The categorization of food via sensing nutrients or toxins is crucial to the survival of any organis...

Identification of 170 New Long Noncoding RNAs in .

Long noncoding RNAs (lncRNAs) are transcripts generally longer than 200 nucleotides with no or poor ...

Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study.

BACKGROUND: Qualitative research methods are increasingly being used across disciplines because of t...

Fisher Discrimination Regularized Robust Coding Based on a Local Center for Tumor Classification.

Tumor classification is crucial to the clinical diagnosis and proper treatment of cancers. In recent...

Benchmarking deep learning models on large healthcare datasets.

Deep learning models (aka Deep Neural Networks) have revolutionized many fields including computer v...

Genome-wide prediction of cis-regulatory regions using supervised deep learning methods.

BACKGROUND: In the human genome, 98% of DNA sequences are non-protein-coding regions that were previ...

Neuronal network-based mathematical modeling of perceived verticality in acute unilateral vestibular lesions: from nerve to thalamus and cortex.

Acute unilateral lesions of vestibular graviceptive pathways from the otolith organs and semicircula...

Annotating Diseases Using Human Phenotype Ontology Improves Prediction of Disease-Associated Long Non-coding RNAs.

Recently, many long non-coding RNAs (lncRNAs) have been identified and their biological function has...

Efficient coding matters in the organization of the early visual system.

Individual areas in the brain are organized into a hierarchical network as a result of evolution. Pr...

Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder.

Very little is known about the health problems experienced by individuals with autism spectrum disor...

Prediction of plant lncRNA by ensemble machine learning classifiers.

BACKGROUND: In plants, long non-protein coding RNAs are believed to have essential roles in developm...

Automated ICD-9 Coding via A Deep Learning Approach.

ICD-9 (the Ninth Revision of International Classification of Diseases) is widely used to describe a ...

Deep neural models for ICD-10 coding of death certificates and autopsy reports in free-text.

We address the assignment of ICD-10 codes for causes of death by analyzing free-text descriptions in...

A border-ownership model based on computational electromagnetism.

The mathematical relation between a vector electric field and its corresponding scalar potential fie...

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