scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/sensors/AliHSHL15 |
P356 | DOI | 10.3390/S150715921 |
P932 | PMC publication ID | 4541861 |
P698 | PubMed publication ID | 26151207 |
P5875 | ResearchGate publication ID | 279536543 |
P2093 | author name string | Sungyoung Lee | |
Jamil Hussain | |||
Maqbool Hussain | |||
Muhammad Hameed Siddiqi | |||
Rahman Ali | |||
P2860 | cites work | Identifying the medical practice after total hip arthroplasty using an integrated hybrid approach. | Q51344104 |
Prediction of type-2 diabetes based on several element levels in blood and chemometrics. | Q51463741 | ||
Developmental toxicity risk assessment: a rough sets approach. | Q52227161 | ||
A rough sets approach to patient classification in medical records. | Q52356339 | ||
Rough Sets Data Analysis in Knowledge Discovery: A Case of Kuwaiti Diabetic Children Patients | Q58643928 | ||
Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting | Q21245257 | ||
Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure | Q22306384 | ||
Big data and clinicians: a review on the state of the science | Q27012044 | ||
Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III) | Q27860959 | ||
The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure<SUBTITLE>The JNC 7 Report</SUBTITLE> | Q28204197 | ||
Type 2 diabetes risk forecasting from EMR data using machine learning. | Q30585462 | ||
Recommendations for blood pressure measurement in humans and experimental animals: Part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Associati | Q33983951 | ||
Java-based diabetes type 2 prediction tool for better diagnosis | Q34068654 | ||
Two-step approach for the prediction of future type 2 diabetes risk | Q35179935 | ||
A risk score to predict type 2 diabetes mellitus in an elderly Spanish Mediterranean population at high cardiovascular risk | Q35839851 | ||
Clinical documentation for patient care: models, concepts, and liability considerations for pharmacists | Q36921181 | ||
Reporting and handling missing values in clinical studies in intensive care units | Q38107779 | ||
A multivariate logistic regression equation to screen for diabetes: development and validation | Q39504001 | ||
Projection of diabetes burden through 2050: impact of changing demography and disease prevalence in the U.S. | Q40679527 | ||
Modelling prognostic power of cardiac tests using rough sets | Q40821109 | ||
Automated knowledge acquisition from clinical databases based on rough sets and attribute-oriented generalization | Q41948941 | ||
A clinical decision support system using multilayer perceptron neural network to assess well being in diabetes. | Q44402372 | ||
A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction. | Q45965486 | ||
Standards of medical care in diabetes--2008. | Q46828447 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 7 | |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | 15921-15951 | |
P577 | publication date | 2015-07-03 | |
P1433 | published in | Sensors | Q3478643 |
P1476 | title | H2RM: A Hybrid Rough Set Reasoning Model for Prediction and Management of Diabetes Mellitus | |
P478 | volume | 15 |
Q47134712 | Mechanistic modeling of hemoglobin glycation and red blood cell kinetics enables personalized diabetes monitoring | cites work | P2860 |
Search more.