Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sarita Pais"'
Autor:
Dipika Jayachander, Arnadi Ramachandrayya Shivashankara, Mamidipudi Srinivasa Vidyasagar, Raees Tonse, Sarita Pais, Ashwin DL Lobo, Sanath Kumar Hegde, Suresh Rao, Manjeshwar Shrinath Baliga
Publikováno v:
Middle East Journal of Cancer, Vol 9, Iss 2, Pp 133-142 (2018)
Background: This study evaluates the predictive significance of salivary amylase, glutathione, lipid peroxides, and lactate dehydrogenase in the treatment of head and neck cancer patients who undergo curative radiotherapy/chemoradiotherapy. Method
Externí odkaz:
https://doaj.org/article/9a7c4e66a98a41ab9e2c35f427a14dea
Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data
Publikováno v:
Sensors, Vol 22, Iss 1, p 45 (2021)
Gestational diabetes mellitus (GDM) is a condition that appears during pregnancy and is expected to be a temporary one. While patients are encouraged to manage it themselves, research findings indicate that GDM may negatively affect the foetus; in ad
Externí odkaz:
https://doaj.org/article/47d190986bf14cfda882e3304b741b19
Autor:
Sarita Pais
Publikováno v:
ACSW
An increasing number of women with Gestational Diabetes Mellitus (GDM) use commercially available mobile apps in order to monitor their diet, exercise regime, and glucose levels. To enable integrating patient wellness data generated by such apps into
Publikováno v:
2017 IEEE Region 10 Symposium (TENSYMP).
Mobile apps have been developed for monitoring health and wellness for various reasons such as self-management of chronic diseases, weight loss and maintain healthy life style. As consumers, patients are flooded with new mobile apps and are unaware i
Publikováno v:
HICSS
Wellness data generated by patients using smart phones and portable devices can be a key part of Personal Health Record (PHR) data and offers healthcare service providers (healthcare providers) patient health information on a daily basis. Prior resea
Publikováno v:
ACE/ACSC/AISC/APCMM/AUIC/AWC
Data collected through mobile wellness apps is not currently effectively captured for clinical data use. It may be helpful to share data from wellness apps collected by the patients with clinicians. This study focuses on women with gestational diabet