Page 276 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

Chapter 9 Applications of deep learning in biomedical engineering 267

Figure 9.12 Drugetarget interaction.

43. Public and medical health management

The main responsible for the healthcare sector is to provide
good quality in treatment and healthcare services. DL supplies
a promising success in easing the regular maintenance of the
medical records. The major applications of DL in public and
medical health management system are
1. predicting free life style diseases,
2. forecast weather information,
3. predicting the behavior age and gender from metadata, and so
on.
Diseases that are related with a person or group of people are
known as lifestyle diseases. Health Care Corporation gathers
and assembles the immense disease-related data. These data
incorporate the hidden information that leads to take efficient
decision-making. Structure vector machine is used to predict
lifestyle diseases that the individual might be suspected to affect
in future. This assumption made over the individual person's
lifestyle information such as unhealthy diet plan, sleeping hours,
obesity, stress, anxiety, habitants, energy intake, physical
activity, genetic diseases, and so on. Lifestyle diseases are easy
to prevent. Simply modifying the lifestyle of an individual
person reduces or eliminates the risk of getting affected [39].
Another area where DL techniques can be implemented is air
pollution forecasting. This helps in providing air quality aware-
ness and predicting, avoiding, or controlling the presence of