Downloads: 117
India | Cognitive Systems Research | Volume 7 Issue 3, March 2018 | Pages: 1157 - 1160
A Study on Cognitive Computing in Medical Diagnosis
Abstract: Cognitive Computing seeks the inspiration from the structure, functions, dynamics and behavior of the Brain. It uses Artificial intelligence and Machine learning algorithms to sense, predict, infer and think in some ways to break the conventional programming paradigm of Neumann. In this paper we analyzed these techniques in cognition, to make use in medical diagnosis. Diseases can be sensed and predicted from the textures of machine in which Human senses like sighting, smelling and hearing can be integrated into the Neurosynaptic chip (composed of neurons, axons and synapse) through programmed Corelets where Pattern recognition is carried out based on perception, action and cognition. It puts accurately disparate pieces of complex puzzle together from all the modules of test and detects the prevailing disease quickly which helps the doctor to carry out the diagnosis rapidly in dangerous disease like cancer.
Keywords: Machine Learning Algorithm, Neurosynaptic chip, Corelets, Cognition, Medical Diagnosis
How to Cite?: T. Sharmila, K. Sigapriya, "A Study on Cognitive Computing in Medical Diagnosis", Volume 7 Issue 3, March 2018, International Journal of Science and Research (IJSR), Pages: 1157-1160, https://www.ijsr.net/getabstract.php?paperid=ART2018919, DOI: https://dx.doi.org/10.21275/ART2018919