A Review on Blood Disease Detection using Artificial Intelligence Techniques

Patient’s data is gathered during medical procedures in order to assist the doctor in making an accurate diagnosis of the patient's health. This information may consist of straightforward symptoms that the subject has noticed, a doctor's preliminary findings, or a thorough test result from a laboratory. Therefore, a doctor is the only one who uses this data for examination, the doctor then determines the ailment using his or her own medical skills. Assessing if a patient has heart illness, diabetes, cancer or any other blood related disease the artificial intelligence has classified numerous disease datasets using various classification algorithms like Machine learning, Deep learning, Data Mining, Automation and so on. The field of computer science known as artificial intelligence focuses on the intelligence of machine and generates the highest possibilities for achievement and accuracy. The primary goal of this article is a survey of AI methods used in medical research to identify blood disease or disorders and find out which artificial intelligence technique is best suited for highest accuracy in blood disease or disorders diagnostics.