A study on the application of machine learning techniques to personalized medical care in the treatment of Alzheimer’s disease (AD)

Abstract

Artificial intelligence plays a vital role in predicting and contributing much in the health care department to personalize the medicines for the patient affected by a neurological disorder. The causes for the neurological disorder may vary from infections, injury on the brain, spinal cord, or in the nerve, congenital abnormalities, and the lifestyle of an individual, environmental health problem like malnutrition, polio, or genetic disorder. Personalized medicine is a sort of customized medicine for the patients by getting the information about a person’s genes, proteins to thwart, diagnose or know the form of medicine to treat the diseases. Traditional medicine may limit to cure of the disease by taking a long duration of time or might cause some side effects. This can be conquered by personalized medicine by taking care of every person’s genetic information and framing the more effective drugs which help in preempting disease progression by choosing the medicine which exactly suits and works well on the patient’s body condition. The advantage of this personalized medicine in health care is that it reduces the cost, the occurrence of failure rate in pharmaceuticals clinical trial, eliminate trial and error form medicine, and lastly, time-consuming. In this proposed work, we take hold of a study on one of the major neurological disorders called Alzheimer’s disease (AD) that could be prevented or the risk factor can be reduced by applying the customized medicine approach by artificial intelligence techniques. Artificial intelligence helps to generate deep knowledge in finding the cause of diseases and allow the system to learn, reason, and authorize some clinical decision through augmented intelligence.