Now-a-days Healthcare Sectors to create acloud computing environment to obtain a patient's complete medical record. This environment reduces time consuming efforts and other costly operations and uniformly integrates collection of medical data to deliver it to the healthcare specialists. Electronic HealthRecords have been usuallyimplemented to enable healthcare providers and patients to create, manage and access healthcare information from at any time and any place. Cloud environment provide the essential infrastructure at lower cost and improved quality. The Healthcare sector reduces the cost of storing, processing and updating with improved efficiency and quality by using Cloud computing. But today the security of data in cloud environment is not adequate. The electronic health record consists of images of the patient’s record which is very confidential. The Electronic Health Records in the healthcare sector includes the scan images, X-rays,DNA reports etc., which are considered as the patients private data.It requires a very high degree of privacy and authentication. So, providing security for a large volume of data with high efficiency is required in cloud environment. This paper introduces a new mechanism in which the images of patient’s record can be secured efficiently and the private data are well-maintained for later use. Since most of the private data are in the form of images, extra care must be taken to secure these images. This can be done by converting the images into pixels and then encrypting those pixels. After the encryption, the single encrypted file is divided into ‘n’ number of files and they are stored in the cloud database server. The original data is obtained by merging the n divided files from the cloud database server and then decrypting that merged file using the private key which is made visible only to the authorized persons as required by the hospital. To protect the data in cloud database server cryptography is one of the important methods. Cryptography provides several symmetric and asymmetric algorithms to secure the data. This paper presents the symmetric cryptographic algorithm named as Advanced Encryption Standard (AES).
Data mining based applications are very useful and significant in healthcare and medical science. In health care, there are large volume of data, and this data has no structural value until converted into information and knowledge, which can help increase profits, control costs and maintain high quality of patient care. The classification is one of the most important applications of data mining technique. It is one of the most important decision making techniques in many real world problem. The main objective of this work is to analyze the several efforts made on the classification of thyroid data, the different classification techniques based on statistical techniques and soft computing techniques and their obtained results. In the field of healthcare the Data mining based classification plays an important roles.In the field of medical science Diagnosis of health conditions is a very important and challenging task. There are several types of diseases are diagnosis in medical science. Thyroid disease is one of serious diseases that is very major problem and affected the health of human being. Classification of Thyroid decease is one of the significant problems in medical science since it is directly related to health condition of human body; this type of disease can be cured by accurate identification and give correct treatment. This paper compare various classification algorithms such as J8, CART and Random Forest used for prediction on the diagnosis of thyroid. Several authors have worked in the field of thyroid diseases classification and give the proper classification accuracy with strong model.
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