A family medical history - also called a medical family tree is a record of health information (including illnesses and medical conditions) about a person and their family members. Families have many factors in common, including their genes, environment, and lifestyle. Together, these factors can give clues to medical conditions that may run in a family. By noticing patterns of disorders among relatives, healthcare professionals can determine whether an individual, other family members, or future generations may be at an increased risk of developing a particular condition.
A family medical history can identify people with a higher-than-usual chance of having common disorders, such as heart disease, high blood pressure, stroke, certain cancers, and diabetes. These complex disorders are influenced by a combination of genetic factors, environmental conditions, and lifestyle choices. A family history also can provide information about the risk of rarer conditions caused by mutations in a single gene, such as cystic fibrosis and sickle cell anaemia [1].
This research will design a new data mining model and apply or proposed a visualization techniques in order to investigate familiar health risk factor data derived from family trees. The purpose of the analysis will be to highlight factors which could increase a person’s risk of developing a particular health problem. This information could be used both to assess an individual’s relative risk of developing a disease, and to target limited health care resources to those most at risk.
The basic idea of visual data exploration is to present the data in some visual form, allowing the human to get insight into the data, draw conclusions, and directly interact with the data. Visual data mining techniques have proven to be of high value in exploratory data analysis and they also have a high potential for exploring large dataset [10]. Visual data exploration is especially useful when little is known about the data and the exploration goals are vague. Since the user is directly involved in the exploration process, shifting and adjusting the exploration goals is automatically done if necessary
Multimedia Information Retrieval, Computer Games, Graphics & Animations
