Risk prediction, assessment and management

2012 ◽  
pp. 113-148
Keyword(s):  
Risk Prediction

Newer Markers Don't Improve Risk Prediction

2012 ◽  
Vol 45 (12) ◽  
pp. 10-11
Author(s):  
MARY ANN MOON
Keyword(s):  
Risk Prediction

Calcium Score Improves CHD Risk Prediction

2010 ◽  
Vol 40 (9) ◽  
pp. 9
Author(s):  
MARY ANN MOON
Keyword(s):  
Risk Prediction ◽  
Calcium Score ◽  
Chd Risk

Exon-level gene expression analyses of primary neuroblastoma improves risk prediction and identifies JARID1C as a candidate target

2009 ◽  
Vol 221 (03) ◽  
Author(s):  
A Schramm ◽  
B Schowe ◽  
T Thor ◽  
M Baumann ◽  
S Dreesmann ◽  
...  
Keyword(s):  
Gene Expression ◽  
Risk Prediction ◽  
Gene Expression Analyses ◽  
Candidate Target ◽  
Exon Level

Diabetoporosity – Risk prediction in prediabetic patients based on biochemical and anthropometric biomarkers

2020 ◽  
Author(s):  
C Haudum ◽  
E Kolesnik ◽  
N Tripolt ◽  
Thomas R. Pieber ◽  
B Obermayer-Pietsch
Keyword(s):  
Risk Prediction

Prognostication Stereotype of Patients Morbidity and Mortality by Extraction of E-Health Records

2018 ◽  
Vol 6 (6) ◽  
pp. 215
Author(s):  
Sunitha .T ◽  
Shyamala .J ◽  
Annie Jesus Suganthi Rani.A
Keyword(s):  
At Risk ◽  
Risk Prediction ◽  
Health Risks ◽  
Preventive Intervention ◽  
Classification Problem ◽  
Health Examination ◽  
Disease Area ◽  
Health Records ◽  
Mortality And Morbidity ◽  
Main Motive

Data mining suggest an innovative way of prognostication stereotype of Patients health risks. Large amount of Electronic Health Records (EHRs) collected over the years have provided a rich base for risk analysis and prediction. An EHR contains digitally stored healthcare information about an individual, such as observations, laboratory tests, diagnostic reports, medications, procedures, patient identifying information and allergies. A special type of EHR is the Health Examination Records (HER) from annual general health check-ups. Identifying participants at risk based on their current and past HERs is important for early warning and preventive intervention. By “risk”, we mean unwanted outcomes such as mortality and morbidity. This approach is limited due to the classification problem and consequently it is not informative about the specific disease area in which a personal is at risk. Limited amount of data extracted from the health record is not feasible for providing the accurate risk prediction. The main motive of this project is for risk prediction to classify progressively developing situation with the majority of the data unlabeled.

OC05 BLEEDING RISK PREDICTION IN CORONARY ARTERY BYPASS SURGERY

2018 ◽  
Vol 19 ◽  
pp. e25
Author(s):  
A. Salsano ◽  
G.M. Olivieri ◽  
F. Maestri ◽  
R. Natali ◽  
A. Miette ◽  
...  
Keyword(s):  
Coronary Artery ◽  
Coronary Artery Bypass ◽  
Risk Prediction ◽  
Coronary Artery Bypass Surgery ◽  
Bypass Surgery ◽  
Artery Bypass ◽  
Bleeding Risk
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