Real-Time Medical Diagnosis Using Artificial Intelligence

Abstract

A system that involves improving health-related services to satisfy patients' clinical needs is referred to as healthcare.  Patients, clinicians, physicians, researchers, and the medical industry all try their hardest to maintain and rebuild health data in the healthcare system.  Due to the remarkable advancements in technology, data is expanding daily in all sectors, including healthcare, which necessitates an increasing number of data mining applications.  However, healthcare companies are generating a lot of healthcare data as a result of the healthcare system's digitization.  All medical records stored in digital format are collectively referred to as healthcare data. Comprehensive information on a patient's medical history, prescription notes from doctors, clinical reports, etc., may be included.  High dimensionality, volume, and diversity characterize all of these data.  These days, making healthy decisions is difficult due to the growing complexity of healthcare data.  The main areas of research that improve a person's capacity to make the right choices in an effort to optimize the outcome of any working field include machine learning, data mining, and statistical techniques.  The rate at which humans can analyze data is significantly lower than the amount of data that is saved.  This is especially crucial in the healthcare industry because there are comparatively fewer people accessible to analyze healthcare data.