pubmed-article:20509795 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:20509795 | lifeskim:mentions | umls-concept:C0030705 | lld:lifeskim |
pubmed-article:20509795 | lifeskim:mentions | umls-concept:C1457887 | lld:lifeskim |
pubmed-article:20509795 | lifeskim:mentions | umls-concept:C0019947 | lld:lifeskim |
pubmed-article:20509795 | lifeskim:mentions | umls-concept:C1527148 | lld:lifeskim |
pubmed-article:20509795 | lifeskim:mentions | umls-concept:C1136134 | lld:lifeskim |
pubmed-article:20509795 | lifeskim:mentions | umls-concept:C1533716 | lld:lifeskim |
pubmed-article:20509795 | pubmed:issue | 6 | lld:pubmed |
pubmed-article:20509795 | pubmed:dateCreated | 2010-7-5 | lld:pubmed |
pubmed-article:20509795 | pubmed:abstractText | Previous studies have found that inappropriate assessment of cancer pain can lead to inadequate pain management. To improve assessment, it may be helpful to collect real-time data in a natural environment using computerized ecological momentary assessment (cEMA). Therefore, the aim of the study was to develop a personal digital assistant (PDA) system to collect information on symptoms such as pain and mood states in patients with cancer using cEMA. | lld:pubmed |
pubmed-article:20509795 | pubmed:language | eng | lld:pubmed |
pubmed-article:20509795 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:20509795 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:20509795 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:20509795 | pubmed:month | Jun | lld:pubmed |
pubmed-article:20509795 | pubmed:issn | 1557-7740 | lld:pubmed |
pubmed-article:20509795 | pubmed:author | pubmed-author:AkabayashiAki... | lld:pubmed |
pubmed-article:20509795 | pubmed:author | pubmed-author:YoshiuchiKazu... | lld:pubmed |
pubmed-article:20509795 | pubmed:author | pubmed-author:YamamotoYoshi... | lld:pubmed |
pubmed-article:20509795 | pubmed:author | pubmed-author:NakagawaKeiic... | lld:pubmed |
pubmed-article:20509795 | pubmed:author | pubmed-author:IwaseSatoruS | lld:pubmed |
pubmed-article:20509795 | pubmed:author | pubmed-author:KawagoeKohK | lld:pubmed |
pubmed-article:20509795 | pubmed:author | pubmed-author:HachizukaMaki... | lld:pubmed |
pubmed-article:20509795 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:20509795 | pubmed:volume | 13 | lld:pubmed |
pubmed-article:20509795 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:20509795 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:20509795 | pubmed:pagination | 647-51 | lld:pubmed |
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pubmed-article:20509795 | pubmed:year | 2010 | lld:pubmed |
pubmed-article:20509795 | pubmed:articleTitle | Development of a personal digital assistant (PDA) system to collect symptom information from home hospice patients. | lld:pubmed |
pubmed-article:20509795 | pubmed:affiliation | Department of Stress Sciences and Psychosomatic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. | lld:pubmed |
pubmed-article:20509795 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:20509795 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |