Karpagam JCS ISSN: 2582 – 8525 (Print), 2583 – 3669 (Online)

Prediction of Drugs for Diseases

Abstract
Data mining techniques are applied in huge databases to find out the useful hidden patterns. There are different data mining approaches used for analysis, diagnosis, or prediction of diseases. After the prediction of disease, it is more important to recommend a drug based on the stage of the disease to a patient. There is no use of prediction of disease when a proper drug is recommended to the patient. Generally, in the medicinal field, there are two types of drugs are available such as generic name medicines and brand name medicines. But there is less number of researches has been carried out in the area of prediction of a drug for a disease. Various types of survey are present in drug recommendation techniques based on drug-disease interaction, drug-target interaction and side effects. It examines various techniques evaluated by previous researchers. The shortcomings of those methods are then discussed in order to identify advancements in drug recommendation methods.

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