1998
DOI: 10.1016/s1386-5056(98)00115-4
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Intelligent medical information filtering

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Cited by 17 publications
(6 citation statements)
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References 26 publications
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“…Many commercial products intend to personalize the user preference. The low specificity of a profession-based rather than individual-based filtering system limits their capability to maintain precision for a research scientist or other medical professional, e.g., an oncologist of B cell lymphomas, let along when personal criteria of relevancy may change over time [16]. The real challenge is how to extract individual needs into controlled vocabulary such as MeSH in order to achieve highest possible relevancy and efficiency [14].…”
Section: Discussionmentioning
confidence: 99%
“…Many commercial products intend to personalize the user preference. The low specificity of a profession-based rather than individual-based filtering system limits their capability to maintain precision for a research scientist or other medical professional, e.g., an oncologist of B cell lymphomas, let along when personal criteria of relevancy may change over time [16]. The real challenge is how to extract individual needs into controlled vocabulary such as MeSH in order to achieve highest possible relevancy and efficiency [14].…”
Section: Discussionmentioning
confidence: 99%
“…Beberapa studi menunjukkan bahwa sumber informasi yang biasa dipakai oleh tenaga kesehatan untuk menangani permasalahan kesehatan adalah bersumber dari kolega, buku referensi dan mengambil literatur melalui pustakawan (Quintana, 1998). Akses informasi yang relevan dan terbaru menjadi penting untuk meningkatkan kompetensi calon dokter.…”
Section: Pendahuluanunclassified
“…2 In the future, intelligent information filtering systems will help users faced with large volumes of information by automatically retrieving and then filtering updates of relevant new medical information. 3 These filtering systems will record the online behavior of the user, creating a profile of index terms contained in Web pages noted previously. In essence, information retrieval systems will take into account the user's dynamically changing criteria of relevance.…”
Section: Nn Conclusionmentioning
confidence: 99%