Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and Type II Diabetes Mellitus

10.3390/ijerph19158979

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Main Authors: Mukhopadhyay, Amartya, Sumner, Jennifer, Ling, Lieng Hsi, Quek, Raphael Hao Chong, Tan, Andre Teck Huat, Teng, Gim Gee, Seetharaman, Santhosh Kumar, Gollamudi, Satya Pavan Kumar, Ho, Dean, Motani, Mehul
Other Authors: BIOMEDICAL ENGINEERING
Format: Article
Language:English
Published: MDPI 2022
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/234857
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-2348572024-04-18T02:01:42Z Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and Type II Diabetes Mellitus Mukhopadhyay, Amartya Sumner, Jennifer Ling, Lieng Hsi Quek, Raphael Hao Chong Tan, Andre Teck Huat Teng, Gim Gee Seetharaman, Santhosh Kumar Gollamudi, Satya Pavan Kumar Ho, Dean Motani, Mehul BIOMEDICAL ENGINEERING ELECTRICAL AND COMPUTER ENGINEERING MEDICINE chronic disease management ambulatory care self-management artificial intelligence personalised medicine 10.3390/ijerph19158979 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 19 15 2022-11-28T02:47:17Z 2022-11-28T02:47:17Z 2022-08-01 2022-11-25T09:39:33Z Article Mukhopadhyay, Amartya, Sumner, Jennifer, Ling, Lieng Hsi, Quek, Raphael Hao Chong, Tan, Andre Teck Huat, Teng, Gim Gee, Seetharaman, Santhosh Kumar, Gollamudi, Satya Pavan Kumar, Ho, Dean, Motani, Mehul (2022-08-01). Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and Type II Diabetes Mellitus. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 19 (15). ScholarBank@NUS Repository. https://doi.org/10.3390/ijerph19158979 1661-7827 1660-4601 https://scholarbank.nus.edu.sg/handle/10635/234857 en MDPI Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic chronic disease management
ambulatory care
self-management
artificial intelligence
personalised medicine
spellingShingle chronic disease management
ambulatory care
self-management
artificial intelligence
personalised medicine
Mukhopadhyay, Amartya
Sumner, Jennifer
Ling, Lieng Hsi
Quek, Raphael Hao Chong
Tan, Andre Teck Huat
Teng, Gim Gee
Seetharaman, Santhosh Kumar
Gollamudi, Satya Pavan Kumar
Ho, Dean
Motani, Mehul
Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and Type II Diabetes Mellitus
description 10.3390/ijerph19158979
author2 BIOMEDICAL ENGINEERING
author_facet BIOMEDICAL ENGINEERING
Mukhopadhyay, Amartya
Sumner, Jennifer
Ling, Lieng Hsi
Quek, Raphael Hao Chong
Tan, Andre Teck Huat
Teng, Gim Gee
Seetharaman, Santhosh Kumar
Gollamudi, Satya Pavan Kumar
Ho, Dean
Motani, Mehul
format Article
author Mukhopadhyay, Amartya
Sumner, Jennifer
Ling, Lieng Hsi
Quek, Raphael Hao Chong
Tan, Andre Teck Huat
Teng, Gim Gee
Seetharaman, Santhosh Kumar
Gollamudi, Satya Pavan Kumar
Ho, Dean
Motani, Mehul
author_sort Mukhopadhyay, Amartya
title Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and Type II Diabetes Mellitus
title_short Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and Type II Diabetes Mellitus
title_full Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and Type II Diabetes Mellitus
title_fullStr Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and Type II Diabetes Mellitus
title_full_unstemmed Personalised Dosing Using the CURATE.AI Algorithm: Protocol for a Feasibility Study in Patients with Hypertension and Type II Diabetes Mellitus
title_sort personalised dosing using the curate.ai algorithm: protocol for a feasibility study in patients with hypertension and type ii diabetes mellitus
publisher MDPI
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/234857
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