Dynamic risk prediction for diabetes using biomarker change measurements
نویسندگان
چکیده
منابع مشابه
Neuro-Fuzzy Based Algorithm for Online Dynamic Voltage Stability Status Prediction Using Wide-Area Phasor Measurements
In this paper, a novel neuro-fuzzy based method combined with a feature selection technique is proposed for online dynamic voltage stability status prediction of power system. This technique uses synchronized phasors measured by phasor measurement units (PMUs) in a wide-area measurement system. In order to minimize the number of neuro-fuzzy inputs, training time and complication of neuro-fuzzy ...
متن کاملneuro-fuzzy based algorithm for online dynamic voltage stability status prediction using wide-area phasor measurements
in this paper, a novel neuro-fuzzy based method combined with a feature selection technique is proposed for online dynamic voltage stability status prediction of power system. this technique uses synchronized phasors measured by phasor measurement units (pmus) in a wide-area measurement system. in order to minimize the number of neuro-fuzzy inputs, training time and complication of neuro-fuzzy ...
متن کاملMultiple Biomarker Prediction of Type 2 Diabetes
T ype 2 diabetes is predictable and preventable. Obesity, familial diabetes, and higher-than-normal blood glucose levels are well-known risk factors for development of type 2 diabetes by middle age; recent prediction models have incorporated these with other readily measurable features of metabolic syndrome (elevated blood pressure, low HDL cholesterol, and elevated triglycerides) to generate v...
متن کاملpredictive power for type 2 diabetes mellitus using dynamic change of metabolic syndrome, dynamic change of fasting plasma glucose, metabolic syndrome and fasting plasma glucose.
the aim was to compare the predictive power for type 2 diabetes mellitus (t2dm) using dynamic change (difference) of metabolic syndrome (ms), difference of fasting plasma glucose (fpg), baseline ms and fpg in cohort study.overall, 3461 subjects were recruited from prevention of multiple metabolic disorders and ms in jiangsu of china study with 3.8 years follow-up. cox proportional-hazards regre...
متن کاملValidation of biomarker-based risk prediction models.
The increasing availability and use of predictive models to facilitate informed decision making highlights the need for careful assessment of the validity of these models. In particular, models involving biomarkers require careful validation for two reasons: issues with overfitting when complex models involve a large number of biomarkers, and interlaboratory variation in assays used to measure ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Medical Research Methodology
سال: 2019
ISSN: 1471-2288
DOI: 10.1186/s12874-019-0812-y