GLOBAL ACTION NEEDED TO COMBAT DIABETES, SAYS WHO DIRECTOR-GENERAL 15th International Diabetes Federation Congress in Japan

Action on a broad front is necessary to tackle the growing global burden of diabetes and make it a preventable

Standard NER Tagging Scheme for Big Data Healthcare Analytics built on Unified Medical Corpora

The motivation for this research comes from the gap found in discovering the common ground for medical context learning through analytics for different purposes of diagnosing,recommending,prescribing,or treating patients for uniform phenotype features from patients’profile.The authors of this paper while searching for possible solutions for medical context learning found that unified corpora tagged with medical nomenclature was missing to train the analytics for medical context learning.Therefore,here we demonstrated a mechanism to come up with uniform NER(Named Entity Recognition)tagged medical corpora that is fed with 14407 endocrine patients’data set in Comma Separated Values(CSV)format diagnosed with diabetes mellitus and comorbidity diseases.The other corpus is of ICD-10-CM coding scheme in text format taken from www.icd10data.com.ICD-10-CM corpus is to be tagged for understanding the medical context with uniformity for which we are conducting different experiments using common natural language programming(NLP)techniques and frameworks like TensorFlow,Keras,Long Short-Term Memory(LSTM),and Bi-LSTM.In our preliminary experiments,albeit label sets in form of(instance,label)pair were tagged with Sequential()model formed on TensorFlow.Keras and Bi-LSTM NLP algorithms.The maximum accuracy achieved for model validation was 0.8846.

Cardiovascular risk and prevalence of metabolic syndrome by differing criteria

Background The prevalence of metabolic syndrome （MetS） in hypertensive population in Chinese countryside is unknown. Firstly, this study compared the prevalence of MetS according to National Cholesterol Education Program （NCEP） ATPIII, revised NCEP and International Diabetes Federation （IDF） definitions. Secondly, it investigated the association between MetS, coronary heart disease （CHD） and stroke in patients with hypertension. Methods In this cross sectional study, the cluster sampling method was used. Three MetS definitions were applied to 1418 normal subjects and 5348 hypertensive patients aged 40-75 years in rural areas in China. The agreement between different MetS definitions was estimated by K statistics. Logistic regression analyses determined the association between MetS defined by the three MetS definitions and CHD and stroke. Results In subjects without hypertension, the prevalence of Mets was 4.1% by NCEP definition, 8.3% revised NCEP definition and 7.8% IDF definition. In hypertensive individuals, the prevalence was 14.0%, 32.9%, and 27.4% in men; 35.6%, 53.1%, and 50.2% in women by the same definitions, respectively. In hypertensive individuals, the agreement was 94.4% in men and 97.0% in women between revised NCEP and IDF definitions. The IDF defined MetS was more strongly associated with CHD than the NCEP or revised NCEP defined MetS （adjusted odds ratio： 1.92 compared with 1.85 and 1.69 in men; 1.64 compared with 1.48 and 1.60 in women）. Conclusions In the patients with hypertension, the revised NCEP and IDF definitions identified more individuals than NCEP definition and their agreement is very high. The IDF defined MetS is more strongly associated with CHD than the NCEP or revised NCEP defined MetS, but weakly or not associated with stroke.