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Personalized Recommendation Method for Preventing Elderly People from Cardiovascular Disease Complication Using Integrated Objective Distance

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Personalized Recommendation Method for Preventing Elderly People from Cardiovascular Disease Complication Using Integrated Objective Distance. / Chaising, Supansa; Prasad, Ramjee; Temdee, Punnarumol.

In: Wireless Personal Communications, Vol. 117, 03.2021, p. 215-233.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

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Chaising, Supansa ; Prasad, Ramjee ; Temdee, Punnarumol. / Personalized Recommendation Method for Preventing Elderly People from Cardiovascular Disease Complication Using Integrated Objective Distance. In: Wireless Personal Communications. 2021 ; Vol. 117. pp. 215-233.

Bibtex

@article{587e49cbd7814e11a7f9ddc03ce4f253,
title = "Personalized Recommendation Method for Preventing Elderly People from Cardiovascular Disease Complication Using Integrated Objective Distance",
abstract = "Nowadays, people are living longer than in the past which leads to dramatically increasing numbers of elderly people in the world{\textquoteright}s populations. Correspondingly, the elderly are facing critical health concerns, particularly Cardiovascular Disease (CVD). CVD is recognized as the main cause of death worldwide for the aged people. Consequently, prevention of CVD complication is extremely significant for the elderly. The purpose of this research study is to determine a personalized recommendation to the elderly for preventing themselves from the complication of CVDs. Therefore, the personalized recommendation method using integrated objective distance is proposed in this study. The integrated objective distance is a new measurement for computing the distance score for indicating a personal suggestion effectively. Importantly, the proposed personalized recommendation method provides the potential direction for an individual lifestyle adjustment. An experiment of this study is conducted in the context of hypertension, which is one of the most significant risk factors for developing CVD. Input data is collected from 121 elderly people who have a high risk of CVD in Chiang Rai, Thailand. An experimental result shows that the proposed method can provide efficient suggestions to elderly people when compared to those from human experts with 95% accuracy.",
keywords = "Cardiovascular disease (CVD), Elderly people, Integrated objective distance, Personalization, Recommendations",
author = "Supansa Chaising and Ramjee Prasad and Punnarumol Temdee",
year = "2021",
month = mar,
doi = "10.1007/s11277-019-06639-w",
language = "English",
volume = "117",
pages = "215--233",
journal = "Wireless Personal Communications",
issn = "0929-6212",
publisher = "Springer New York LLC",

}

RIS

TY - JOUR

T1 - Personalized Recommendation Method for Preventing Elderly People from Cardiovascular Disease Complication Using Integrated Objective Distance

AU - Chaising, Supansa

AU - Prasad, Ramjee

AU - Temdee, Punnarumol

PY - 2021/3

Y1 - 2021/3

N2 - Nowadays, people are living longer than in the past which leads to dramatically increasing numbers of elderly people in the world’s populations. Correspondingly, the elderly are facing critical health concerns, particularly Cardiovascular Disease (CVD). CVD is recognized as the main cause of death worldwide for the aged people. Consequently, prevention of CVD complication is extremely significant for the elderly. The purpose of this research study is to determine a personalized recommendation to the elderly for preventing themselves from the complication of CVDs. Therefore, the personalized recommendation method using integrated objective distance is proposed in this study. The integrated objective distance is a new measurement for computing the distance score for indicating a personal suggestion effectively. Importantly, the proposed personalized recommendation method provides the potential direction for an individual lifestyle adjustment. An experiment of this study is conducted in the context of hypertension, which is one of the most significant risk factors for developing CVD. Input data is collected from 121 elderly people who have a high risk of CVD in Chiang Rai, Thailand. An experimental result shows that the proposed method can provide efficient suggestions to elderly people when compared to those from human experts with 95% accuracy.

AB - Nowadays, people are living longer than in the past which leads to dramatically increasing numbers of elderly people in the world’s populations. Correspondingly, the elderly are facing critical health concerns, particularly Cardiovascular Disease (CVD). CVD is recognized as the main cause of death worldwide for the aged people. Consequently, prevention of CVD complication is extremely significant for the elderly. The purpose of this research study is to determine a personalized recommendation to the elderly for preventing themselves from the complication of CVDs. Therefore, the personalized recommendation method using integrated objective distance is proposed in this study. The integrated objective distance is a new measurement for computing the distance score for indicating a personal suggestion effectively. Importantly, the proposed personalized recommendation method provides the potential direction for an individual lifestyle adjustment. An experiment of this study is conducted in the context of hypertension, which is one of the most significant risk factors for developing CVD. Input data is collected from 121 elderly people who have a high risk of CVD in Chiang Rai, Thailand. An experimental result shows that the proposed method can provide efficient suggestions to elderly people when compared to those from human experts with 95% accuracy.

KW - Cardiovascular disease (CVD)

KW - Elderly people

KW - Integrated objective distance

KW - Personalization

KW - Recommendations

U2 - 10.1007/s11277-019-06639-w

DO - 10.1007/s11277-019-06639-w

M3 - Journal article

VL - 117

SP - 215

EP - 233

JO - Wireless Personal Communications

JF - Wireless Personal Communications

SN - 0929-6212

ER -