The problem that and it produces the effect whose precision of the early database is serious in the result problem of variation of the data of each diseased group in diseased deciding are overcome. You observe to the class of hemoglobin time ripple mark itself. The class which was formed with the ripple mark which resembles mutually corresponds to the meta diseased group, the multiple diseased groups are included by each meta diseased group usually, are characterized by diseased group distribution. Each subject data while solving the above-mentioned problem by the fact that the correspondence attaching and the diseased group distribution are presented to the meta diseased group, it does the support of diseased diagnosis to that is effective.初期のデータベースの精度が結果に重大な影響を与えるという問題及び疾患判定における各疾患群のデータのばらつきの問題を克服する。ヘモグロビン時間波形そのもののクラスに注目する。互いに類似した波形で形成されたクラスはメタ疾患群に対応し、各メタ疾患群には通常複数の疾患群が含まれ、疾患群分布によって特徴付けられる。各被験者データをメタ疾患群に対応付け、その疾患群分布を提示することで上記問題を解決しつつ、疾患診断の支援を実効あるものにする。
