AIMC Topic:
Data Mining
Clear Filters Showing 1301 to 1310 of 1550 articles
Use AI to mine literature for policymaking.
Nature
Jul 1, 2020
Predictive Modeling of Pressure Injury Risk in Patients Admitted to an Intensive Care Unit.
American journal of critical care : an official publication, American Association of Critical-Care Nurses
Jul 1, 2020
BACKGROUND: Pressure injuries are an important problem in hospital care. Detecting the population at risk for pressure injuries is the first step in any preventive strategy. Available tools such as the Norton and Braden scales do not take into accoun...
Negation Detection for Clinical Text Mining in Russian.
Studies in health technology and informatics
Jun 16, 2020
Developing predictive modeling in medicine requires additional features from unstructured clinical texts. In Russia, there are no instruments for natural language processing to cope with problems of medical records. This paper is devoted to a module ...
DL4papers: a deep learning approach for the automatic interpretation of scientific articles.
Bioinformatics (Oxford, England)
Jun 1, 2020
MOTIVATION: In precision medicine, next-generation sequencing and novel preclinical reports have led to an increasingly large amount of results, published in the scientific literature. However, identifying novel treatments or predicting a drug respon...
New tools aim to tame pandemic paper tsunami.
Science (New York, N.Y.)
May 29, 2020
AI systems aim to sniff out coronavirus outbreaks.
Science (New York, N.Y.)
May 22, 2020
Graph- and rule-based learning algorithms: a comprehensive review of their applications for cancer type classification and prognosis using genomic data.
Briefings in bioinformatics
Mar 23, 2020
Cancer is well recognized as a complex disease with dysregulated molecular networks or modules. Graph- and rule-based analytics have been applied extensively for cancer classification as well as prognosis using large genomic and other data over the p...
OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy Data.
JCO clinical cancer informatics
Mar 1, 2020
PURPOSE: The purpose of OncoMX knowledgebase development was to integrate cancer biomarker and relevant data types into a meta-portal, enabling the research of cancer biomarkers side by side with other pertinent multidimensional data types.
Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care.
JCO clinical cancer informatics
Mar 1, 2020
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...
medExtractR: A targeted, customizable approach to medication extraction from electronic health records.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2020
OBJECTIVE: We developed medExtractR, a natural language processing system to extract medication information from clinical notes. Using a targeted approach, medExtractR focuses on individual drugs to facilitate creation of medication-specific research...
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