AIMC Topic: Data Mining

Clear Filters Showing 431 to 440 of 1566 articles

Do clinical and paraclinical findings have the power to predict critical conditions of injured patients after traumatic injury resuscitation? Using data mining artificial intelligence.

Chinese journal of traumatology = Zhonghua chuang shang za zhi Nov 24, 2020
PURPOSE: The triage and initial care of injured patients and a subsequent right level of care is paramount for an overall outcome after traumatic injury. Early recognition of patients is an important case of such decision-making with risk of worse pr...
Triage Blood Pressure Data Mining Wounds and Injuries Resuscitation Trauma Severity Indices Middle Aged Adolescent Monitoring, Physiologic Adult Male Artificial Intelligence Forecasting Humans Critical Illness Prognosis Female Young Adult
View on PubMed DOI

Identification of prognostic factors for pediatric myocarditis with a random forests algorithm-assisted approach.

Pediatric research Nov 18, 2020
BACKGROUND: Pediatric myocarditis is a rare disease with substantial mortality. Little is known regarding its prognostic factors. We hypothesize that certain comorbidities and procedural needs may increase risks of poor outcomes. This study aims to i...
Databases, Factual Prognosis Risk Factors Humans Machine Learning Length of Stay Time Factors United States Risk Assessment Prevalence Comorbidity Age of Onset Myocarditis Data Mining
View on PubMed DOI

Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study.

JMIR public health and surveillance Nov 11, 2020
BACKGROUND: COVID-19 is a scientifically and medically novel disease that is not fully understood because it has yet to be consistently and deeply studied. Among the gaps in research on the COVID-19 outbreak, there is a lack of sufficient infoveillan...
Humans Natural Language Processing Pandemics Data Mining Models, Psychological COVID-19 Health Knowledge, Attitudes, Practice Social Media
View on PubMed DOI

Triage of documents containing protein interactions affected by mutations using an NLP based machine learning approach.

BMC genomics Nov 10, 2020
BACKGROUND: Information on protein-protein interactions affected by mutations is very useful for understanding the biological effect of mutations and for developing treatments targeting the interactions. In this study, we developed a natural language...
Mutation Data Mining Protein Interaction Mapping Machine Learning Natural Language Processing
View on PubMed DOI

Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review.

Journal of medical systems Nov 9, 2020
According to the World Health Organization (WHO) report in 2016, around 800,000 of individuals have committed suicide. Moreover, suicide is the second cause of unnatural death in people between 15 and 29 years. This paper reviews state of the art on ...
Social Networking Suicide Data Mining Humans Machine Learning Risk Assessment
View on PubMed DOI

Literature mining for context-specific molecular relations using multimodal representations (COMMODAR).

BMC bioinformatics Oct 26, 2020
Biological contextual information helps understand various phenomena occurring in the biological systems consisting of complex molecular relations. The construction of context-specific relational resources vastly relies on laborious manual extraction...
PubMed Machine Learning Publications Data Mining
View on PubMed DOI

Potentials and caveats of AI in hybrid imaging.

Methods (San Diego, Calif.) Oct 15, 2020
State-of-the-art patient management frequently mandates the investigation of both anatomy and physiology of the patients. Hybrid imaging modalities such as the PET/MRI, PET/CT and SPECT/CT have the ability to provide both structural and functional in...
Humans Datasets as Topic Artificial Intelligence Image Processing, Computer-Assisted Multimodal Imaging Data Mining
View on PubMed DOI

Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Oct 15, 2020
INTRODUCTION: Nontraumatic intracranial hemorrhage (ICH) is a neurological emergency of research interest; however, unlike ischemic stroke, has not been well studied in large datasets due to the lack of an established administrative claims-based defi...
Predictive Value of Tests Data Mining Intracranial Hemorrhages Phenotype Aged Middle Aged Humans Female Aged, 80 and over International Classification of Diseases Support Vector Machine Reproducibility of Results Male Health Services Research Administrative Claims, Healthcare
View on PubMed DOI

Extracting medication information from unstructured public health data: a demonstration on data from population-based and tertiary-based samples.

BMC medical research methodology Oct 15, 2020
BACKGROUND: Unstructured data from clinical epidemiological studies can be valuable and easy to obtain. However, it requires further extraction and processing for data analysis. Doing this manually is labor-intensive, slow and subject to error. In th...
Electronic Health Records Public Health Natural Language Processing Data Mining Humans Machine Learning
View on PubMed DOI

Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing.

Methods of information in medicine Oct 14, 2020
BACKGROUND: Merging disparate and heterogeneous datasets from clinical routine in a standardized and semantically enriched format to enable a multiple use of data also means incorporating unstructured data such as medical free texts. Although the ext...
Electronic Health Records Pilot Projects Data Mining Reference Standards Decision Support Systems, Clinical Natural Language Processing
View on PubMed DOI
Popular Topics
Recent Journals