Abstract:
The wide variety of computer-based technologies within the healthcare industry has led to the gathering of electronic data. Due to the massive number of information, medical professionals are faced with the challenge of accurately diagnosing signs and figuring out diseases at an early stage. In medicine, misdiagnosis could be a major factor leading because of poor treatment and diagnosing the disease when its serious. However, supervised machine learning techniques have demonstrated the potential to surpass conventional diagnostic procedures and assist medical professionals in diagnosing high-risk diseases. Mostly people feel lazy to visit a hospital, and concern a doctor for a minor complication. However, this small problem can pose significant medical risk. Since, online medical advice is readily available. The system evaluates the symptoms that person give as an input and gives the disease as an output. Naive Bayes Classifier is used in the system. Our system focuses on accuracy, the more numbers of a symptoms furnished by the person as a input the disorder prediction as a output will be better. Work can enhance the health care industry to zenith and give cure to world.
