Machine Learning Model for Predicting CVD Risk on NHANES Data.

Cardiovascular disease (CVD) is a major health problem throughout the world. It is the leading cause of morbidity and mortality and also causes considerable economic burden to society. The early symptoms related to previous observations and abnormal events, which can be subjectively acquired by self-assessment of individuals, bear significant clinical relevance and are regularly preserved in the patient's health record. The aim of our study is to develop a machine learning model based on selected CVD-related information encompassed in NHANES data in order to assess CVD risk. This model can be used as a screening tool, as well as a retrospective reference in association with current clinical data in order to improve CVD assessment. In this form it is planned to be used for mass screening and evaluation of young adults entering their army service. The experimental results are promising in that the proposed model can effectively complement and support the CVD prediction for the timely alertness and control of cardiovascular problems aiming to prevent the occurrence of serious cardiac events.

Benign multiple sclerosis in Crete.

Our objective was to study multiple sclerosis on Crete, an island of 0.6 million inhabitants sharing a similar genetic background and the same environment. Case ascertainment was achieved using the MS Epidemiology Program Project of Crete. The diagnosis and classification of multiple sclerosis were made by established clinical and magnetic resonance imaging criteria, and disease evolution was assessed by periodic evaluations. Thorough clinical and laboratory evaluations were conducted; a detailed history, including a questionnaire of 36 items, was taken. Data obtained were analysed for possible interaction with disease prognosis. We identified 587 cases of multiple sclerosis (F:M = 1.6), >90% of which were of Cretan origin from both parental lines. Age at onset was 31.5 +/- 10.3 years (mean +/- SD) and disease duration 12.7 +/- 9.1 years. About 84.6% had relapsing remitting multiple sclerosis, 9.4% primary progressive multiple sclerosis and 6% clinically isolated syndrome. Nearly 40% of our multiple sclerosis patients with disease duration >10 years (mean = 16.2 +/- 5.3 years) remained with no or mild disability (Expanded Disability Status Scale [EDSS] < or =3). Also, about 30% of patients with relapsing remitting multiple sclerosis showed benign disease evolution (EDSS < or =3) more than 20 years (mean = 24.0 +/- 3.3) after onset. Factors predisposing to benign multiple sclerosis included younger age at onset, shorter disease duration and a lower number of relapses. We conclude that a substantial proportion of patients with multiple sclerosis from Crete follow a rather benign disease course, and this may relate to the genetic background of the population and/or to environmental factors.