Pasture of Pharmaceutical, Machine Learning Has a Number of Appliances
Keywords:
Machine Learning, Data Mining, Artificial Intelligence, Pathology, DiagnosticsAbstract
These years, with computer science and machine learning changing into the hotspot of analysis, many appliances have emerged in every of those areas. It exists not solely as a form of educational frontier however conjointly one thing on the point of our life. during this trend, the mixture of medical aid and machine learning becomes additional and additional tighter. The proposal of its main plan conjointly greatly mitigated the prevailing scenario of unbalanced medical distribution and resources strain. This paper summarizes some application of machine learning and auxiliary growth treatment within the method of medical resource allocation, and puts forward some new strategies of application to appreciate it nearer to human life within the era of computer science and therefore the explores an honest scenario of mutual combination of medical business and industry, that is profit each.
Downloads
References
G. Eason, B. Noble, and I.N. Sneddon, “On certain integrals of Lipschitz-Hankel type involving products of Bessel functions,” Phil. Trans. Roy. Soc. London, vol. A247, pp. 529-551, April 1955. (references)
Jiang M, Zhang S, Huang J, et al. Scalable histopathological image analysis via supervised hashing with multiple features[J]. Medical Image Analysis, 2016, 34:3-12.
Joanna J K, Pawel K. Automatic Classification of Specific Melanocytic Lesions Using Artificial Intelligence[J]. BioMed Research International, 2016, 2016:1-17.
Lu-Cheng, Zhu,Yun-Liang, Ye,Wen-Hua, Luo,Meng, Su,Hang-Ping, Wei,Xue-Bang, Zhang,Juan, Wei,Chang-Lin, Zou.A model to discriminate malignant from benign thyroid nodules using artificial neural network.[J].PloS one,2013,8(12):e82211.
Huang W C, Chang C P. Automatic Nasal Tumor Detection by grey prediction and Fuzzy C-Means clustering[C]// IEEE International Conference on Systems. IEEE, 2006.M. Young, The Technical Writer’s Handbook. Mill Valley, CA: University Science, 1989.
Sarraf S, Tofighi G. Classification of Alzheimer's Disease using fMRI Data and Deep Learning Convolutional Neural Networks[J]. 2016.
Dou Q, Chen H, Yu L, et al. Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks[J]. IEEE Transactions on Medical Imaging, 2016:1- 1.
Pang-ning Tan, Michael Steinbach, Vipin Kumar, Introduction to data mining, Beijing: Posts & Telecom Press, 2011 [9] Xue-Hu WANG, Study Liver Segmtation Method from CT Images based on Deformation Optimization and Sparse Statistics[D]. Beijing Institute of Technology, 2015.
Yu Q, Jiang T, Zhou A, et al. Computer-aided diagnosis of malignant or benign thyroid nodes based on ultrasound images[J]. European Archives of Oto-Rhino-Laryngology, 2017, 274(7):2891- 2897.
