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Editorial
. 2010 Jan;14(1):1-2.
doi: 10.1109/TITB.2009.2039678.

Guest editorial data mining in bioinformatics and biomedicine

Xue-Wen Chen, Hamid R Arabnia
Editorial

Guest editorial data mining in bioinformatics and biomedicine

Xue-Wen Chen et al. IEEE Trans Inf Technol Biomed. 2010 Jan.

Abstract

Heart failure is a leading cause of death in the United States, with around 5 million Americans currently suffering from congestive heart failure. The WANDA B. wireless health technology leverages sensor technology and wireless communication to monitor heart failure patient activity and to provide tailored guidance. Patients who have cardiovascular system disorders can measure their weight, blood pressure, activity levels, and other vital signs in a real-time automated fashion. The system was developed in conjunction with the UCLA Nursing School and the UCLA Wireless Health Institute for use on actual patients. It is currently in use with real patients in a clinical trial.

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Figures

Fig 1.1
Fig 1.1. Devices used in WANDA B
Fig 3
Fig 3
Fig 3.1. The WANDA B. system Fig 3.2. Ideal Life Body Manager™, BP Manager™, and POD™ Fig 3.3. WHI PAM (Personal Activity Monitor) Fig 3.4. WHI NIDA survey system Fig 3.5. WANDA B. web application Fig 3.6. WANDA B. iPhone application Fig 3.7. Database structure in WANDA B. and a shared ID table Fig 3.8. Database synchronization and recovery
Fig 3
Fig 3
Fig 3.1. The WANDA B. system Fig 3.2. Ideal Life Body Manager™, BP Manager™, and POD™ Fig 3.3. WHI PAM (Personal Activity Monitor) Fig 3.4. WHI NIDA survey system Fig 3.5. WANDA B. web application Fig 3.6. WANDA B. iPhone application Fig 3.7. Database structure in WANDA B. and a shared ID table Fig 3.8. Database synchronization and recovery
Fig 3
Fig 3
Fig 3.1. The WANDA B. system Fig 3.2. Ideal Life Body Manager™, BP Manager™, and POD™ Fig 3.3. WHI PAM (Personal Activity Monitor) Fig 3.4. WHI NIDA survey system Fig 3.5. WANDA B. web application Fig 3.6. WANDA B. iPhone application Fig 3.7. Database structure in WANDA B. and a shared ID table Fig 3.8. Database synchronization and recovery
Fig 3
Fig 3
Fig 3.1. The WANDA B. system Fig 3.2. Ideal Life Body Manager™, BP Manager™, and POD™ Fig 3.3. WHI PAM (Personal Activity Monitor) Fig 3.4. WHI NIDA survey system Fig 3.5. WANDA B. web application Fig 3.6. WANDA B. iPhone application Fig 3.7. Database structure in WANDA B. and a shared ID table Fig 3.8. Database synchronization and recovery
Fig 3
Fig 3
Fig 3.1. The WANDA B. system Fig 3.2. Ideal Life Body Manager™, BP Manager™, and POD™ Fig 3.3. WHI PAM (Personal Activity Monitor) Fig 3.4. WHI NIDA survey system Fig 3.5. WANDA B. web application Fig 3.6. WANDA B. iPhone application Fig 3.7. Database structure in WANDA B. and a shared ID table Fig 3.8. Database synchronization and recovery
Fig 3
Fig 3
Fig 3.1. The WANDA B. system Fig 3.2. Ideal Life Body Manager™, BP Manager™, and POD™ Fig 3.3. WHI PAM (Personal Activity Monitor) Fig 3.4. WHI NIDA survey system Fig 3.5. WANDA B. web application Fig 3.6. WANDA B. iPhone application Fig 3.7. Database structure in WANDA B. and a shared ID table Fig 3.8. Database synchronization and recovery
Fig 3
Fig 3
Fig 3.1. The WANDA B. system Fig 3.2. Ideal Life Body Manager™, BP Manager™, and POD™ Fig 3.3. WHI PAM (Personal Activity Monitor) Fig 3.4. WHI NIDA survey system Fig 3.5. WANDA B. web application Fig 3.6. WANDA B. iPhone application Fig 3.7. Database structure in WANDA B. and a shared ID table Fig 3.8. Database synchronization and recovery
Fig 3
Fig 3
Fig 3.1. The WANDA B. system Fig 3.2. Ideal Life Body Manager™, BP Manager™, and POD™ Fig 3.3. WHI PAM (Personal Activity Monitor) Fig 3.4. WHI NIDA survey system Fig 3.5. WANDA B. web application Fig 3.6. WANDA B. iPhone application Fig 3.7. Database structure in WANDA B. and a shared ID table Fig 3.8. Database synchronization and recovery
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References

    1. http://www.cvphysiology.com/Heart%20Failure/HF002.htm

    1. http://www.nlm.nih.gov/medlineplus/ency/article/000158.htm

    1. Baker CR. Wireless sensor networks for home health care. 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).2007.
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