NLP Based Word Predictor for Dementia Patients: A Systematic Review

Due to the increased number of people suffering with dementia and the obstacles faced in developing the assistive technologies to support the dementia clients; the use of eHealth for people with dementia has received significant attention in the recent years. Around the globe, around 35.6 million of the population has been suffering from dementia since 2010. This calculation has been expected to shoot up to 115.4 million by 2050. The disorder is diagnosed only for a minute fraction of patients. However, Dementia is still considered as an imminent part of aging, instead of taking it as a symptom of a regressing disease. Keeping all these survey numbers into consideration, it becomes the sole responsibility of the growing future to take care of its country and its people. Daily Routine Assistance like notification reminders of circumstances such as complications in health parameters and other essential alerts such as reminding the patient about medicine intake and doctor appointments is an important task. Use of technology like Internet of Things (IoT) helps in monitoring the patients. Another important task is to help the patient in speaking; this includes completion of sentences by prompting of words. The existing techniques support the health and safety monitoring of Dementia patients. However, there is a technological gap to assist Dementia people with aphasia. Assisting the dementia patients to communicate and lead a quality life is a challenging task. This can be achieved by using Natural Language Processing (NLP). This paper gives the detailed review of the various techniques used in NLP.