Practice Management

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

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[Intelligent fault diagnosis of medical equipment based on long short term memory network].

In order to solve the current problems in medical equipment maintenance, this study proposed an inte...

Merged Affinity Network Association Clustering: Joint multi-omic/clinical clustering to identify disease endotypes.

Although clinical and laboratory data have long been used to guide medical practice, this informatio...

Bridging across functional models: The OFC as a value-making neural network.

Many functions have been attributed to the orbitofrontal cortex (OFC)-some classical roles, such as ...

Naïve Definitions of Action and Inaction: A Study of Free Associations Using Natural Language Processing and Top-Down Coding.

BACKGROUND: Even though the terms "action" and "inaction" have been used to describe objects of atti...

Predicting regulatory variants using a dense epigenomic mapped CNN model elucidated the molecular basis of trait-tissue associations.

Assessing the causal tissues of human complex diseases is important for the prioritization of trait-...

Multimodal Automatic Coding of Client Behavior in Motivational Interviewing.

Motivational Interviewing (MI) is defined as a collaborative conversation style that evokes the clie...

Virtual organelle self-coding for fluorescence imaging via adversarial learning.

SIGNIFICANCE: Our study introduces an application of deep learning to virtually generate fluorescenc...

DeepLGP: a novel deep learning method for prioritizing lncRNA target genes.

MOTIVATION: Although long non-coding RNAs (lncRNAs) have limited capacity for encoding proteins, the...

Predicting the pathogenicity of protein coding mutations using Natural Language Processing.

DNA-Sequencing of tumor cells has revealed thousands of genetic mutations. However, cancer is caused...

Evaluating Performance and Interpretability of Machine Learning Methods for Predicting Delirium in Gerontopsychiatric Patients.

Delirium is an acute mental disturbance that particularly occurs during hospital stay. Current clini...

Supervised Learning for the ICD-10 Coding of French Clinical Narratives.

Automatic detection of ICD-10 codes in clinical documents has become a necessity. In this article, a...

Character-Level Neural Language Modelling in the Clinical Domain.

Word embeddings have become the predominant representation scheme on a token-level for various clini...

Incorporating natural language processing to improve classification of axial spondyloarthritis using electronic health records.

OBJECTIVES: To develop classification algorithms that accurately identify axial SpA (axSpA) patients...

Statistical and Machine Learning Methods for eQTL Analysis.

An immense amount of observable diversity exists for all traits and across global populations. In th...

School of Block-Review of Blockchain for the Radiologists.

Blockchain, the underlying technology for Bitcoin, is a distributed digital ledger technology that e...

Recent Advances on the Semi-Supervised Learning for Long Non-Coding RNA-Protein Interactions Prediction: A Review.

In recent years, more and more evidence indicates that long non-coding RNA (lncRNA) plays a signific...

circDeep: deep learning approach for circular RNA classification from other long non-coding RNA.

MOTIVATION: Over the past two decades, a circular form of RNA (circular RNA), produced through alter...

Multiplexing of Information about Self and Others in Hippocampal Ensembles.

In addition to coding a subject's location in space, the hippocampus has been suggested to code soci...

Medication Adherence and Stroke Prevention: What Real World Data Tells Us.

Medication adherence, by definition,(2) is "the extent to which a patient acts in accordance with th...

Functional interpretation of genetic variants using deep learning predicts impact on chromatin accessibility and histone modification.

Identifying functional variants underlying disease risk and adoption of personalized medicine are cu...

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