Data Science Research Methods Strategy

Running head: Data Science Research Methods
Data Science Research Methods
Name of the Student
Name of the University

Data Science Research Methods2
Table of Contents
Task 1.........................................................................................................................................3
Task 2:........................................................................................................................................7
References:...............................................................................................................................13

Data Science Research Methods3
Task 1
Ambient Assistive living using internet of Medical Things:
To understand ambient assistive living it is perhaps useful to first get an idea of a new
revolutionary technology known as IoT. IoT is a network of interconnected computing
machines or devices with unique identifiers that have the ability to transmit data over a
network without needing human intervention (Farooq et al 2015) . IoT finds application in all
fields and the medical field is no exception. As technology advances the life expectancy of
people also increases and with it comes the challenge of care giving for a large elderly
population (Blackman et al 2016). The proper application of internet of medical things can
cut costs for healthcare to a large extent and simplify this ever complicated process of taking
care of a diverse demographic. With more accurate diagnosis, lower costs, personalized care
IoMT has been dubbed by some as the future of healthcare. The IoMT can not only help
inform, monitor and notify caregivers it can also provide healthcare providers with actual real
time data to identify issues before they become cause for concern. Allied Market research
predicts that the IoT healthcare market will hit $136.8 billion by the year 2021 (Koleva et al
2015).
In this report it will be explored how IoT and the health industry interact and helps in
assistive living for people. As there are many subtopics which is impacted by IoT and AAL;

Data Science Research Methods4
here mainly the impact of the technology on care of elderly people ,mental health patients and
cost effectiveness of the process will be discussed in the existing literature.
Technological advancement has made it possible for people to communicate with
objects and objects to communicate with themselves forming a network of networks.
Ambient assisted living contains ways of supporting elderly people in their daily routine to
allow an independent and safe lifestyle as long as possible. Another technology called Keep
In Touch (KIT) uses smart objects and technologies to form telemonitoring networks( Quiros
et al 2015). The application of IoT and AAL in the health industry show that the process are
successful and accepted by elderly people and is pushing new domains in the healthcare
industry. A combination of KIT and Closed Loop Healthcare, a central AAL paradigm can be
realized through the IoT, where the old people can live in their home with smart objects, thus
building smart homes, and communicating to the outside world in an organized goal oriented
manner.
The IoT developed organically by several fields of technology evolving together such
as
1. Ubiquitous Communication/ Connectivity
2. Pervasive Computing
3. Ambient Intelligence
Ubiquitous computing means the general ability of objects to communicate with each
other; ambient intelligence means the capability of objects to register changes in the physical
world and thus intervene in the process. This is how IoT gets its name, the ability of smart
objects to communicate among each other and build networks of things i.e. the network of
networks.