scholarly journals Novel Health Mobile Technology as an Emerging Strategy in Diabetes Management

10.5772/67508 ◽  
2017 ◽  
Author(s):  
Satish Kumar David ◽  
Mohamed Rafiullah
Keyword(s):  
Mobile Technology ◽  
Diabetes Management

Diabetes Management System using Machine Learning

2021 ◽  
Vol 9 (5) ◽  
pp. 576-579
Keyword(s):  
Machine Learning ◽  
Mobile Technology ◽  
Diabetes Management ◽  
Physical Activities ◽  
Health State ◽  
Current Health ◽  
Safe State ◽  
Patient Health ◽  
Unbalanced Diet

In today's scenario, people are so busy with their life, this result in increased stress level, unbalanced diet, irregular sleep patterns and it keeps them away from physical activities too, this may lead to obesity, it increases levels of fatty acids, leadingto insulin resistance, which can turn into type 2 diabetes. Today's existing system is providing diabetes management in some way, but they are not concrete enough, although there is a lack of connectivity between doctors and patients. Today's need is a system that can connect patients and doctors so that patients can live care freely. Furthermore, the system should show patients' current health state along with helpful suggestions, to maintain a safe state. This is now becoming possible, we are introducing a system called DiaM for diabetes management. The proposed system is based on Machine learning and mobile technology, for describing one's health state and providing them suggestions. The proposed methodology uses Artificial Neural Network to state patient health state, and android is used as mobile technology to connect doctors and patientsover a single platform. Proposed system act as an assistant for doctors to manage patients and provides mentoring for patients too.

scholarly journals Role of Mobile Technology to Improve Diabetes Care in Adults with Type 1 Diabetes: The Remote-T1D Study iBGStar® in Type 1 Diabetes Management

2017 ◽  
Vol 8 (4) ◽  
pp. 811-819 ◽  
Author(s):  
Satish K. Garg ◽  
Viral N. Shah ◽  
Halis K. Akturk ◽  
Christie Beatson ◽  
Janet K. Snell-Bergeon
Keyword(s):  
Type 1 Diabetes ◽  
Mobile Technology ◽  
Diabetes Care ◽  
Diabetes Management ◽  
Improve Diabetes Care

AAC Decision-Making and Mobile Technology: Points to Ponder

2014 ◽  
Vol 23 (2) ◽  
pp. 104-111 ◽  
Author(s):  
Mary Ann Abbott ◽  
Debby McBride
Keyword(s):  
Decision Making ◽  
Mobile Technology ◽  
Communication System ◽  
Augmentative And Alternative Communication ◽  
Evaluation Process ◽  
Decision Making Process ◽  
Alternative Communication ◽  
Ipod Touch ◽  
Feature Match

The purpose of this article is to outline a decision-making process and highlight which portions of the augmentative and alternative communication (AAC) evaluation process deserve special attention when deciding which features are required for a communication system in order to provide optimal benefit for the user. The clinician then will be able to use a feature-match approach as part of the decision-making process to determine whether mobile technology or a dedicated device is the best choice for communication. The term mobile technology will be used to describe off-the-shelf, commercially available, tablet-style devices like an iPhone®, iPod Touch®, iPad®, and Android® or Windows® tablet.

Word-Finding Support From Mobile Technology Benefits a Woman With Aphasia

2015 ◽  
Vol 24 (1) ◽  
pp. 26-39 ◽  
Author(s):  
Yvonne Gillette
Keyword(s):  
Mobile Technology ◽  
Clinical Education ◽  
Augmentative And Alternative Communication ◽  
Feature Matching ◽  
Mobile Technologies ◽  
Alternative Communication ◽  
Alternative Intervention ◽  
Communication Assessment ◽  
Word Finding ◽  
Intervention Costs

Mobile technology provides a solution for individuals who require augmentative and alternative intervention. Principles of augmentative and alternative communication assessment and intervention, such as feature matching and the participation model, developed with dedicated speech-generating devices can be applied to these generic mobile technologies with success. This article presents a clinical review of an adult with aphasia who reached her goals for greater communicative participation through mobile technology. Details presented include device selection, sequence of intervention, and funding issues related to device purchase and intervention costs. Issues related to graduate student clinical education are addressed. The purpose of the article is to encourage clinicians to consider mobile technology when intervening with an individual diagnosed with mild receptive and moderate expressive aphasia featuring word-finding difficulties.

Game Changer

2011 ◽  
Vol 20 (1) ◽  
pp. 17-18 ◽  
Author(s):  
Lateef McLeod
Keyword(s):  
San Francisco ◽  
Mobile Technology ◽  
Technology Tools ◽  
Communication Challenges ◽  
Communication Needs ◽  
Game Changer

Abstract Individuals with significant communication challenges need to communicate across many different venues. The author, from the perspective of an individual who uses AAC, discusses the strengths and weaknesses of both traditional AAC technologies and new mobile AAC technologies. He describes how access to AAC has allowed him to fulfill his dreams as a presenter and writer. He successfully manages a blog in San Francisco, writes grants, and has published his first book of poetry. Not one AAC device fits all of his communication needs; however, access to mobile technology tools has increased his flexibility across environments and given him another successful tool for communication.

Abstract #277: Outcomes of a Standardized Protocol for Diabetes Management in Surgical Inpatients

2015 ◽  
Vol 21 ◽  
pp. 64
Author(s):  
Jeffery Cobb ◽  
Andrea Eckhart ◽  
Alison Motsinger ◽  
Bernadette Carr ◽  
Ele Ferrannini,
Keyword(s):  
Diabetes Management ◽  
Standardized Protocol

Abstract #1142: Improving Diabetes Management By Residents in an Outpatient Setting

2017 ◽  
Vol 23 ◽  
pp. 312-313
Author(s):  
Jahnavi Sagi ◽  
Lavanya Vuppu ◽  
Medha Joshi
Keyword(s):  
Diabetes Management ◽  
Outpatient Setting
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