HealthTech Companion: Promoting Access to Personalized Medical Advice

Abstract

Abstract: Science has come a long way in the last several years, thanks in large part to machine learning tools. This improvement is most noticeable in the field of medical diagnostics, where it is now much easier to diagnose disorders based only on symptoms. Although there are frequently similarities between the symptoms, each disease presents with its own distinct set of signs. It is therefore essential for a diagnosis to be made correctly to identify patterns within these symptoms. However, the sheer number of illnesses and the symptoms that go along with them provide a formidable obstacle to anybody trying to identify their own health issues. Picture yourself feeling sick, but not knowing why you are feeling so bad. This is where a useful chatbot may be quite beneficial, letting users enter their symptoms and acting as an informed guide in making educated guesses about possible illnesses. The Apriori algorithm, which is well-known for its capacity to find patterns in big datasets by linking objects together, is one potent tool used in this situation. Within the healthcare industry, the Apriori algorithm is particularly good at identifying patterns of disease by associating it with related symptoms. This allows the chatbot to provide well-informed information in response to user inputs. Apart from the Apriori method, Recurrent Neural Networks (RNNs) are also utilized due to their ability to handle sequential input and produce replies to user queries that are relevant for the context. The chatbot gives people the ability to evaluate health issues even in the lack of expert medical knowledge by integrating these algorithms. This gives people the ability to take charge of their health by quickly requesting help and according to the chatbot's instructions. Furthermore, the use of Quantum Machine Learning methods enhances the chatbot's skills even further. A viable path to improving illness prediction accuracy and honing the chatbot's recommendations is through the use of quantum algorithms, which can handle complicated data structures and carry out calculations that are beyond the capabilities of conventional algorithms Because these sophisticated algorithms enable early diagnosis, diseases may be treated and lifestyle changes can be made earlier, improving prognoses and boosting survival rates. Additionally, early identification shortens the time it takes for illnesses to worsen