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Review
. 2017 Nov 21:8:50-59.
doi: 10.1016/j.ctro.2017.11.006. eCollection 2018 Jan.

FORECAST - A cloud-based personalized intelligent virtual coaching platform for the well-being of cancer patients

Sofoklis Kyriazakos  1 , Vincenzo Valentini  2 , Alfredo Cesario  3 , Robert Zachariae  4
Affiliations
Review

FORECAST - A cloud-based personalized intelligent virtual coaching platform for the well-being of cancer patients

Sofoklis Kyriazakos et al. Clin Transl Radiat Oncol. .

Abstract

Well-being of cancer patients and survivors is a challenge worldwide, considering the often chronic nature of the disease. Today, a large number of initiatives, products and services are available that aim to provide strategies to face the challenge of well-being in cancer patients; nevertheless the proposed solutions are often non-sustainable, costly, unavailable to those in need, and less well-received by patients. These challenges were considered in designing FORECAST, a cloud-based personalized intelligent virtual coaching platform for improving the well-being of cancer patients. Personalized coaching for cancer patients focuses on physical, mental, and emotional concerns, which FORECAST is able to identify. Cancer patients can benefit from coaching that addresses their emotional problems, helps them focus on their goals, and supports them in coping with their disease-related stressors. Personalized coaching in FORECAST offers support, encouragement, motivation, confidence, and hope and is a valuable tool for the wellbeing of a patient.

Keywords: Cancer coaching; Cloud eHealth platforms; Personalized medicine.

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Figures

Fig. 1
Fig. 1
The eWALL-powered CloudCare2U-CC2U platform , consisting of two segments; the cloud- and the home-segment. Data from IoT is captured at the home-segment, while processing, reasoning and intelligent decisions making occurs at the cloud-segment.
Fig. 2
Fig. 2
The interaction interface that provides access to numerus applications for exercise, medical measurements, activity tracking, cognitive games, calendar applications, weather forecast and photo stream.
Fig. 3
Fig. 3
Notification messages attributes of the coaching engine for personalized interaction with the patient.
Fig. 4
Fig. 4
Functional architecture of the PeDaS that involves reasoning with user or caregiver input and context information.
Fig. 5
Fig. 5
FORECAST approach that detects lifestyle and health status.
Fig. 6
Fig. 6
Coaching model framework of FORECAST.
Fig. 7
Fig. 7
TAM questionnaire score comparison between the three groups .
Fig. 8
Fig. 8
User Experience Questionnaire Analysis of Austrian Users .
Fig. 9
Fig. 9
User Experience Questionnaire Benchmark .
See this image and copyright information in PMC

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