Literature DB >> 29399675

Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare.

Amit Sheth1, Utkarshani Jaimini1, Krishnaprasad Thirunarayan1, Tanvi Banerjee1.   

Abstract

Healthcare as we know it is in the process of going through a massive change - from episodic to continuous, from disease focused to wellness and quality of life focused, from clinic centric to anywhere a patient is, from clinician controlled to patient empowered, and from being driven by limited data to 360-degree, multimodal personal-public-population physical-cyber-social big data driven. While ability to create and capture data is already here, the upcoming innovations will be in converting this big data into smart data through contextual and personalized processing such that patients and clinicians can make better decisions and take timely actions for augmented personalized health. This paper outlines current opportunities and challenges, with a focus on key AI approaches to make this a reality. The broader vision is exemplified using three ongoing applications (asthma in children, bariatric surgery, and pain management) as part of the Kno.e.sis kHealth personalized digital health initiative.

Entities:  

Keywords:  Augmented Personalized Health; Cognitive Computing; Internet of Things; Perceptual Computing; Semantic Computing; Sensors; Smart Data; Wearable

Year:  2017        PMID: 29399675      PMCID: PMC5796671          DOI: 10.1109/RTSI.2017.8065963

Source DB:  PubMed          Journal:  RTSI


  4 in total

1.  Investigation of an Indoor Air Quality Sensor for Asthma Management in Children.

Authors:  Utkarshani Jaimini; Tanvi Banerjee; William Romine; Krishnaprasad Thirunarayan; Amit Sheth; Maninder Kalra
Journal:  IEEE Sens Lett       Date:  2017-04-06

2.  Pain management in frail, community-living elderly patients.

Authors:  F Landi; G Onder; M Cesari; G Gambassi; K Steel; A Russo; F Lattanzio; R Bernabei
Journal:  Arch Intern Med       Date:  2001 Dec 10-24

3.  Pain in sickle cell disease. Rates and risk factors.

Authors:  O S Platt; B D Thorington; D J Brambilla; P F Milner; W F Rosse; E Vichinsky; T R Kinney
Journal:  N Engl J Med       Date:  1991-07-04       Impact factor: 91.245

4.  Effect of pain and nonsteroidal analgesics on blood pressure.

Authors:  P S Chawla; M S Kochar
Journal:  WMJ       Date:  1999 Sep-Oct
  4 in total
  10 in total

1.  How Will the Internet of Things Enable Augmented Personalized Health?

Authors:  Amit Sheth; Utkarshani Jaimini; Hong Yung Yip
Journal:  IEEE Intell Syst       Date:  2018-05-08       Impact factor: 3.405

2.  Social determinants of health in mental health care and research: a case for greater inclusion.

Authors:  Joseph J Deferio; Scott Breitinger; Dhruv Khullar; Amit Sheth; Jyotishman Pathak
Journal:  J Am Med Inform Assoc       Date:  2019-08-01       Impact factor: 4.497

3.  Cognitive Services and Intelligent Chatbots: Current Perspectives and Special Issue Introduction.

Authors:  Amit Sheth; Hong Yung Yip; Arun Iyengar; Paul Tepper
Journal:  IEEE Internet Comput       Date:  2019-04-26       Impact factor: 2.341

4.  Personalized Health Knowledge Graph.

Authors:  Amelie Gyrard; Manas Gaur; Saeedeh Shekarpour; Krishnaprasad Thirunarayan; Amit Sheth
Journal:  CEUR Workshop Proc       Date:  2018-10

Review 5.  Transforming Health Care through Digital Revolutions.

Authors:  Ram D Sriram; Eswaran Subrahmanian
Journal:  J Indian Inst Sci       Date:  2020-10-27

6.  Needs and expectations for an AR program for asthma education for school-age children in South Korea: The perspectives of children, parents, and teachers.

Authors:  Yunsoo Kim; Hyojin Ju
Journal:  Child Health Nurs Res       Date:  2021-10-31

Review 7.  Towards the Use of Big Data in Healthcare: A Literature Review.

Authors:  Grazia Dicuonzo; Graziana Galeone; Matilda Shini; Antonella Massari
Journal:  Healthcare (Basel)       Date:  2022-07-01

8.  A Digital Platform for Facilitating Personalized Dementia Care in Nursing Homes: Formative Evaluation Study.

Authors:  Gubing Wang; Armagan Albayrak; Gerd Kortuem; Tischa Jm van der Cammen
Journal:  JMIR Form Res       Date:  2021-05-28

9.  Know-Me: A Toolkit for Designing Personalised Dementia Care.

Authors:  Gubing Wang; Armagan Albayrak; Eef Hogervorst; Tischa J M van der Cammen
Journal:  Int J Environ Res Public Health       Date:  2021-05-25       Impact factor: 3.390

10.  Clinical-learning versus machine-learning for transdiagnostic prediction of psychosis onset in individuals at-risk.

Authors:  Paolo Fusar-Poli; Dominic Stringer; Alice M S Durieux; Grazia Rutigliano; Ilaria Bonoldi; Andrea De Micheli; Daniel Stahl
Journal:  Transl Psychiatry       Date:  2019-10-17       Impact factor: 6.222

  10 in total

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