AIMC Topic: Databases, Factual

Clear Filters Showing 2831 to 2840 of 3080 articles

Radiomics and Deep Learning: Hepatic Applications.

Korean journal of radiology
Radiomics and deep learning have recently gained attention in the imaging assessment of various liver diseases. Recent research has demonstrated the potential utility of radiomics and deep learning in staging liver fibroses, detecting portal hyperten...

iDISK: the integrated DIetary Supplements Knowledge base.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To build a knowledge base of dietary supplement (DS) information, called the integrated DIetary Supplement Knowledge base (iDISK), which integrates and standardizes DS-related information from 4 existing resources.

Classification of Current Procedural Terminology Codes from Electronic Health Record Data Using Machine Learning.

Anesthesiology
BACKGROUND: Accurate anesthesiology procedure code data are essential to quality improvement, research, and reimbursement tasks within anesthesiology practices. Advanced data science techniques, including machine learning and natural language process...

Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care.

JCO clinical cancer informatics
Big data for health care is one of the potential solutions to deal with the numerous challenges of health care, such as rising cost, aging population, precision medicine, universal health coverage, and the increase of noncommunicable diseases. Howeve...

Multi-scale structural analysis of proteins by deep semantic segmentation.

Bioinformatics (Oxford, England)
MOTIVATION: Recent advances in computational methods have facilitated large-scale sampling of protein structures, leading to breakthroughs in protein structural prediction and enabling de novo protein design. Establishing methods to identify candidat...

[Deep learning network-based recognition and localization of diatom images against complex background].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
We propose a deep learning network-based method for recognizing and locating diatom targets with interference by complex background in autopsy.The system consisted of two modules: the preliminary positioning module and the accurate positioning module...

An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Neurosurgery
BACKGROUND: Although survival statistics in patients with glioblastoma multiforme (GBM) are well-defined at the group level, predicting individual patient survival remains challenging because of significant variation within strata.

Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches.

Journal of X-ray science and technology
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) constitutes a public health emergency globally. The number of infected people and deaths are proliferating every day, which is putting tremendous pressure on our social and healthcare system. ...

Big Data in Ophthalmology.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Big data is the fuel of mankind's fourth industrial revolution. Coupled with new technology such as artificial intelligence and deep learning, the potential of big data is poised to be harnessed to its maximal in years to come. In ophthalmology, give...