{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T08:49:34Z","timestamp":1750150174409,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004]]},"abstract":"<jats:p>Query and interpretation of time-oriented medical data involves two subtasks: Temporal-reasoning&amp;ndash;intelligent analysis of timeoriented data, and temporal-maintenance&amp;ndash;effective storage, query, and retrieval of these data. Integration of these tasks into one system, known as temporal-mediator, has been proven to be beneficial to biomedical applications such as monitoring, therapy, quality assessment, visualization and exploration of timeoriented data. One potential problem in existing temporal-mediation approaches is lack of sufficient responsiveness when querying or continuously monitoring the database for complex abstract concepts that are derived from the raw data, especially regarding a large patient group. We propose a new approach: the knowledge-based time-oriented active database, a temporal extension of the active-database concept, and a merger of temporal reasoning and temporal maintenance within a persistent database framework. The approach preserves the efficiency of databases in handling data storage and retrieval, while enabling specification and performance of complex temporal reasoning using an incremental-computation approach. We implemented our approach within the Momentum system. Initial experiments are encouraging; an evaluation is underway.<\/jats:p>","DOI":"10.3233\/978-1-60750-949-3-84","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:45:03Z","timestamp":1740149103000},"source":"Crossref","is-referenced-by-count":3,"title":["A Knowledge-Based Time-Oriented Active Database Approach for Intelligent Abstraction, Querying and Continuous Monitoring of Clinical Data"],"prefix":"10.3233","author":[{"family":"Spokoiny Alex","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Shahar Yuval","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2004"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:59:39Z","timestamp":1740149979000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0926-9630&volume=107&spage=84"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-60750-949-3-84","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2004]]}}}