| Project/Area Number |
15H02705
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Multimedia database
|
|---|
| Research Institution | Kumamoto University |
|---|
Principal Investigator |
Sakurai Yasushi 熊本大学, 大学院先端科学研究部(工), 教授 (30466411)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
有次 正義 熊本大学, 大学院先端科学研究部(工), 教授 (40282412)
吉川 正俊 京都大学, 情報学研究科, 教授 (30182736)
今中 雄一 京都大学, 医学研究科, 教授 (10256919)
|
|---|
| Research Collaborator |
Faloutsos Christos カーネギーメロン大学, Dept. of Computer Science, 教授
|
|---|
| Project Period (FY) |
2015-04-01 – 2018-03-31
|
| Project Status |
Completed (Fiscal Year 2017)
|
| Budget Amount *help |
¥17,290,000 (Direct Cost: ¥13,300,000、Indirect Cost: ¥3,990,000)
Fiscal Year 2017: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2016: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2015: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
|
|---|
| Keywords | 医療情報 / 時系列解析 / 予測 / 医療情報解析 / 時系列データマイニング / ビッグデータ / データマイニング |
|---|
| Outline of Final Research Achievements |
With the aim of improving health care and medical services, we develop a unifying advanced analytical technology that will make it possible to extract latent relationships in complex time-stamped medical data (e.g., electronic medical records). Medical data analytical technology is considered important throughout the world. Our developed method can identify important dynamical patterns and forecast long-range future events, incrementally and automatically.
|
