J. Manicassamy
ABSTRACT
Today, there is profound vast development in merging biology with computational since, biological data's has been predictable in an unpredictable rate. Various tools, application and techniques have been developed which has been categorized on various bases of their functionalities [1]. All species of the world undergo diseases and disorders it is necessary to treat it effectively and efficiently. In this concept today, various steps have been taken for discovering or identifying disease and disorders in various species. Diseases and disorders occur due to improper communication within cells networked together which response on metabolic reactivity. Taking this aspect into consideration narration have been made in this paper for automating diseases identification for human, subspecies of Homo sapiens considered to be greatest of the ape family. Apart from this disease identification and its impact in the system along with time series have also been narrated. This would help developers of applications, techniques and tools in the area of diseases for better identification and treating. Apart from this it would be helpful in carrying out further research in related areas.
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Index Terms
- Automating diseases diagnosis in human: a time series analysis
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