Latest AI and machine learning research in practice management for healthcare professionals.
The current deluge of newly identified RNA transcripts presents a singular opportunity for improved assessment of coding potential, a cornerstone of genome annotation, and for machine-driven discovery of biological knowledge. While traditional, feature-based methods for RNA classification are limited by current scientific knowledge, deep learning methods can independently discover complex biologic...
The complex system of gene expression is regulated by the cell type-specific binding of transcription factors (TFs) to regulatory elements. Identifying variants that disrupt TF binding and lead to human diseases remains a great challenge. To address this, we implement sequence-based deep learning models that accurately predict the TF binding intensities to given DNA sequences. In addition to accur...
miRandola (http://mirandola.iit.cnr.it/) is a database of extracellular non-coding RNAs (ncRNAs) that was initially published in 2012, foreseeing the ...
ICD encoded diagnoses are a popular criterion for eligibility algorithms for study cohort recruitment. However, "official" ICD encoded diagnoses used ...
The use of electronic health records for risk prediction models requires a sufficient quality of input data to ensure patient safety. The aim of our s...
Clinical coding is done using ICD-10-AM (International Classification of Diseases, version 10, Australian Modification) and ACHI (Australian Classific...
Digestive endoscopies, along with all medical procedures in France are coded with the CCAM. This task is done by the physicians, is time-consuming and...
MOTIVATION: The importance of RNA protein-coding gene regulation is by now well appreciated. Non-coding RNAs (ncRNAs) are known to regulate gene expre...
Prosthetic devices have advanced in their capabilities and in the number and type of sensors included in their design. As the space of sensorimotor da...
Non-coding RNA (ncRNA) genes play a major role in control of heterogeneous cellular behavior. Yet, their functions are largely uncharacterized. Curren...
Machine-learning based approaches to speech enhancement have recently shown great promise for improving speech intelligibility for hearing-impaired li...
Obstetric care refers to the care provided to patients during ante-, intra-, and postpartum periods. Predicting length of stay (LOS) for these patient...
BACKGROUND: Multiple sclerosis (MS), a central nervous system disease in which nerve signals are disrupted by scarring and demyelination, is classifie...
BACKGROUND: Accurate identification of hepatocellular cancer (HCC) cases from automated data is needed for efficient and valid quality improvement ini...
OBJECTIVES: The objective of this study was to use natural language processing (NLP) as a supplement to International Classification of Diseases, Nint...
Accumulating evidences suggest that long non-coding RNAs (lncRNAs) perform important functions. Genome-wide chromatin-states area rich source of infor...
To character a novel chimera(1b/2a) hepatitis C virus cell culture (HCVcc) system carrying envelope E1E2 coding gene from Hebei strain of China, chime...
Electronically stored clinical documents may contain both structured data and unstructured data. The use of structured clinical data varies by facilit...
Machine learning (ML) methods have been applied to the analysis of a range of biological systems. This paper reviews the application of these methods ...
In Italy, ICD-9-CM is currently used for coding health conditions at hospital discharge, but ICD-10 is being introduced thanks to the IT-DRG Project. ...