Page 100 - Big Data Analytics for Intelligent Healthcare Management

5.1 INTRODUCTION AND BACKGROUND 93

FIG. 5.4
(A) Stress performances. (B) Big data characteristics.

5.1.7.2 Causes of stress
Some classes of stressful situations are as follows: (1) uncertainty and under stimulation, (2) informa-
tive overload, (3) danger, (4) ego control failure, (5) ego-mastery failure, (6) self-esteem danger,
(7) other esteem danger.

5.1.7.3 Symptoms of stress
Stress warning signs and symptoms are as follows: the person or subject under study may show cog-
nitive symptoms in which the patient may experience loss of memory, inability to concentrate on day-
to-day issues, difficulty in making decisions, negative or pessimistic attitude, anxiety in thinking pro-
cess, and excessive worrying. In behavioral characteristics, the subject may experience procrastinating
behavior, negligence of responsibility, aloneness, sleepiness, habitual pessimism, use of alcohol, cig-
arettes, and addiction of drugs. The physical nature of the subject may also vary and he/she may suffer
with painful aches, pain in chest, fast heartbeat, less interest in sexual relationships, constipation,
frequent colds, nausea, and dizziness.
Emotional features of such subjects reveal depressive and sadistic behavior, sense of isolation, and
loneliness, moodiness, anger and short tempered, unable to relax, and feeling emotional and agitated.

5.1.8 BIG DATA AND IOT
Big data is the collection of data that is being generated at a tremendous rate around the world. These
data can be structured or unstructured. These data are so large and complex that it is difficult to process
them using traditional data processing applications. To overcome the processing and storage difficulty
of big data, an open source Hadoop is introduced.
Hadoop is an open source distributed processing framework that is used to store a tremendous
amount of data, i.e., big data and their processing outputs. Big data has different characteristics, which
are defined using four v’s (Fig. 5.4B) [9].