In this paper we describe an Heart Failure analysis Dashboard that, combined with a handy
device for the automatic acquisition of a set of patient's clinical parameters, allows to support …

Medical research can greatly benefit from advances in data mining. We propose a mining
approach for cohort analysis in a longitudinal population-based epidemiological study, and …

Provided is a method, system and/or apparatus for determining prospective heart failure
event risk. Acquired from a device memory are a heart failure patient's current and preceding …

In longitudinal epidemiological studies, participants undergo repeated medical
examinations and are thus represented by a potentially large number of short examination …

Subpopulation discovery is an essential objective of data analysis in medical research and
contributes to the prevention and treatment of adverse medical conditions. Characteristic …

Heart failure (HF) is commonly a chronic condition associated with frequent hospital
admissions. Early knowledge about a possible deterioration of this condition would enable …

Sorting is another example of a blocking operator. Data streams are characterised by their
enormous size (potentially infinite), rapid arrival rate and their transient nature (in terms of …

• Inability of the heart to pump blood adequately around the body• Prevalence:• 5.7 million
people in the US 1• 14 million people in Europe 2• will be doubled by 2020 2.• Patients are …

BIO - DATA Page 1 BIO - DATA Name : A. Sampath Kumar ADDRESS Office Pushpanjali
crosslay Hospital W 3 Sector 1,Vaishali,Ghaziabad 201012 Residence A 4(first floor) Yojana …

There were more than 50 new AQM algorithms which have been proposed since 1999. All of
these approaches are designed on per-flow basis. Ideally, long-lived responsive flows will …