TAILIEUCHUNG - Empirical comparison by data mining classification algorithms (C 4.5 & C 5.0) for thyroid cancer data set
This paper presents a snapshot of various forces driving the ehealth applications; challenges for their widespread adoption and attempts to provide a conceptual framework for successful deliverance of e-health services. | ISSN:2249-5789 Anurag Upadhayay et al, International Journal of Computer Science & Communication Networks,Vol 3(1), 64-68 Empirical Comparison by data mining Classification algorithms (C & C ) for thyroid cancer data set. Anurag Upadhayay (M. Tech Scholar) IFTM University, INDIA anuragbareilly@ Suneet Shukla IFTM University, INDIA sshukl1@ Sudsanshu Kumar IFTM University, INDIA sudhanshuindian2005@ ABSTRACT Health information system or medical informatics is the intersection of information science, computer science, and health care. It deals with the resources, devices, and methods required optimizing the acquisition, storage, retrieval, and use of information in health and biomedicine. This paper presents a snapshot of various forces driving the ehealth applications; challenges for their widespread adoption and attempts to provide a conceptual framework for successful deliverance of e-health services. In healthcare environment, Cancer is a particularly opportune disease for data mining technology for a number of reasons. First, because the mountain of data is there. Second, Cancer is a highly growing disease that costs a great deal of money, and so has attracted managers and payers .I have implemented two algorithms of Decision Tree technique, and technique. ending quest for saving money and cost efficiency. Tools & platform approach is implemented in java platform using Eclipse and XP operating system Keywords C , C , ID3 , KDD, DM, TSH,TRH, T3, T4 INTODUCTION Health information system or medical informatics is the intersection of information science, computer science, and health care .E-health applications can be broadly grouped under the following: (a)Consumer health (b)Clinical care (c )Financial and administrative transactions (d) Public health (e) Professional education (f) Biomedical research In healthcare environment, Cancer is a particularly opportune disease for data mining technology for .
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