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Volume 5 (2005) - August 2005

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Research article   Open Access Highly Accessed

Automation of a problem list using natural language processing

Stephane Meystre, Peter J Haug BMC Medical Informatics and Decision Making 2005, 5:30 (31 August 2005)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

Research article   Open Access

Exploring cancer register data to find risk factors for recurrence of breast cancer – application of Canonical Correlation Analysis

Amir R Razavi, Hans Gill, Olle Stål, Marie Sundquist, Sten Thorstenson, Hans Åhlfeldt, Nosrat Shahsavar, the South-East Swedish Breast Cancer Study Group BMC Medical Informatics and Decision Making 2005, 5:29 (22 August 2005)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

Research article   Open Access Highly Accessed

Handheld computers and the 21st century surgical team: a pilot study

Omer Aziz, Sukhmeet S Panesar, Gopalakrishnan Netuveli, Paraskevas Paraskeva, Aziz Sheikh, Ara Darzi BMC Medical Informatics and Decision Making 2005, 5:28 (18 August 2005)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

Database   Open Access

PHSkb: A knowledgebase to support notifiable disease surveillance

Timothy J Doyle, Haobo Ma, Samuel L Groseclose, Richard S Hopkins BMC Medical Informatics and Decision Making 2005, 5:27 (16 August 2005)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

Research article   Open Access Highly Accessed

Pretest probability assessment derived from attribute matching

Jeffrey A Kline, Charles L Johnson, Charles V Pollack, Deborah B Diercks, Judd E Hollander, Craig D Newgard, J Lee Garvey BMC Medical Informatics and Decision Making 2005, 5:26 (11 August 2005)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

Software   Open Access

The tissue micro-array data exchange specification: a web based experience browsing imported data

David G Nohle, Barbara A Hackman, Leona W Ayers BMC Medical Informatics and Decision Making 2005, 5:25 (8 August 2005)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

Research article   Open Access

Audio computer-assisted self-interviewing (ACASI) may avert socially desirable responses about infant feeding in the context of HIV

Anthony K Waruru, Ruth Nduati, Thorkild Tylleskär BMC Medical Informatics and Decision Making 2005, 5:24 (2 August 2005)

Abstract | Full text | PDF | PubMed |  Editor’s summary

Use of audio computer-assisted self-interviewing rather than conventional face-to-face interviewing for collecting data on sensitive issues seems to improve the quality of information retrieved - response rates to sensitive questions are increased and socially desirable responses are decreased.


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