A simple neural network has many applications for industry. They can be used to solve many real-world business problems. They are already being used in numerous industries. The neural networks are best at finding patterns or trends in data. They are most suited for predicting or forecasting in sales, process control, customer research, data validation, risk management, and target marketing.
Applications in Medicine
Artificial Neural Networks are a hot research area in medicine, and they will receive an extensive application in the biomedical systems in the coming years. The research currently focusses on modeling the parts of the human body and also recognizes the diseases from the various scans.
They are ideal in recognition of the disease using the scans as there is no need to provide the algorithm on how to identify the disease. As the neural networks learn by the example, so details of how to recognize the disease is not required.
Modeling the Cardiovascular System
The neural networks are used to model the human cardiovascular system. Diagnosis is done by building a model of the system of an individual and then comparing it to the real-time physiological requirements take from the patient.
When it is done regularly, potential medical conditions can be detected at any stage and make the process of fighting the disease a lot easy. A model of an individual’s cardiovascular system should mimic the relationship amongst the heart-rate, systolic, and diastolic blood pressure and the breathing rate and different levels of activity. If a model is adapted to the individual, it becomes the physical condition of that individual. The simulator should then adapt to the features of the individual without supervision from an expert.
Another reason why ANN technology is used is the ability of ANNs to provide sensor fusion. It combines the values from the various sensors. The ANNs are enabled to learn the complex relationships amongst the individual sensor values. It is otherwise lost if the values are analyzed individually. In medical modeling and diagnosis, it means that even if the sensor may be set to a specific psychological variable, ANNs can detect the complex medical conditions by fusing the data form the individual’s biomedical sensor.
Finally,
Simple neural network have their application in medicine. The modeling leads to better diagnoses of the patient. It eventually leads to better treatment and prompt response in case any emergency arises.
