Cloud Computing with Machine Learning for Cancer Diagnosis

Cloud Computing with Machine Learning for Cancer Diagnosis Cloud computing with Machine Learning could help us in the early diagnosis of breast cancer Junaid Ahmad Bhat, Prof. Vinai George and Dr. Bilal Malik Abstract— The purpose of this study is to develop tools which could help the clinicians in the primary care hospitals with the early diagnosis of breast cancer diagnosis. Breast cancer is one of the leading forms of cancer in developing countries and often gets detected at the lateral stages. The detection of cancer at later stages results not only in pain and agony to the patients but also puts lot of financial burden on the caregivers. In this work, we are presenting the preliminary results of the project code named BCDM (Breast Cancer Diagnosis using Machine Learning) developed using Matlab. The algorithm developed in this work is based on adaptive resonance theory. (Explain the results of this work here ..). The aim of the project is to eventually run the algorithm on a cloud computer and a clinician at a primary healthcare can use the system for the early diagnosis of the patients using web based interface from anywhere in the world. Keywords— Adaptive Resonance theory, Breast Cancer Diagnosis, FNA I. Introduction The breast cancer is one of the common cancers and ranked second in the world after the lung cancer. (1)This type of cancer also ranked second in northern India. (1)Breast cancer is one of the leading cancers found in Kashmir (1) .Classifying the cells into the malignant and benign is the main goal in the diagnoses of breast cancer and misclassification could cost pain to the patients and extra burden to health care providers. Due to noise in the data, the problem to classify becomes non-trivial and has thus attracted researchers from machine learning to improve the classification.(2) Researchers have used different machine learning algorithms to improve the diagnosis of breast cancer. (3) And Neural Networks is one of the machine learning algorithms, which has been widely used for diagnosis of breast cancer. In order to achieve the exactness Adaptive Resonance theory that is one of the variants of Neural Network been used for prediction purposes. Neural Network gained importance in 505 till late 60s due to its accuracy and learning capabilities but got diminished in 80s due to its computational cost. With the advancement in technology (4) Neural Networks are becoming popular due to their ability to achieve non-linear hypotheses even when input feature scale is large (4). This work proposes to use a variant of neural networks based on adaptive resonance theory to improve the breast cancer diagnosis. This algorithm has been developed and tested in Matlab 2012.has been tested on lot of real life problems that include automated automobile control, for classification purposes and for the detection of intruders in the battlefield. II. Adaptive Resonance Theory (ART) The Adaptive Resonance Theory (ART) is a neural network architecture that generates suitable weights (parameter) by clustering the pattern space. . The motive for adapting ART instead of a conventional neural network is to solve the stability and plasticity problem. (5) ART networks and algorithms keep the plasticity to learn new patterns and prevent the amendment of patterns that it learned earlier. The stable network will not return the previous cluster. The operation of ART works as it accepts an input vector and classifies it into one of the clusters depending on to which cluster it resembles. If it will not match with any of the category then a new category is created by storing that pattern. When a store pattern is, bring into being that matches the input vector within a specified tolerance that made it to look like the input vector. The pattern will not be modified if it doesnt match the current input pattern within the vigilance parameter. With the help of it the problems associated with stability and plasticity can be resolved. (5) Figure 4 Art 1Neural Network Architecture A. Types of Adaptive Resonance Theory 1) Adaptive Resonance Theory 1 It is the first neural network of Adaptive Resonance theory. It consists of two layers that cluster the pattern from the input binary vector. It accepts the input in the form of binary values (6). 2) Adaptive Resonance Theory 2 It is the second type of neural Network of Adaptive Resonance theory .It is complex than that of ART1 network and accepts the values in the form of continuous valued vector. The reason of complexity for ART 2 is that it possesses the normalization combination and noise inhibition alongside it compares the weights needed for the reset mechanism. (6) B. Working of ART 1 Neural Network The art Neural Networks works in the following fashion, which comprises of three layers and each layer has its own role to play. 1) Input layer 2) Interface layer 3) Cluster layer The parameters used in algorithm are as: Num = Number of Symptoms M = Clusters as {benign ,Malignant} bwij =Bottom up weights Twij = Top down weights P =Vigilance parameter S = Binary forms of the input symptoms X = Activation vector for interface ||x|| =norm of x or sum of the components of x Step 1: Initialize Parameters L > 1 and 0 Initialize weights 0 ij (0) ij (0)=1 Step 2: While stop condition is false, perform step 3 to 14 Step 3: For each training input do step 4 to 13 Step 4: Set Activation of all F2 units to 0 Set Activation of F1(a) units to binary forms of Symptoms vector Step 5: Compute the sum of the symptoms ||s|| = ∑ i Si Step 6: Send the symptom vector from input layer to interface layer xi = si Step7: The cluster node that is not inhibited If yj != -1 then yj = ∑ bij *xi Step8: While reset is true, perform step 9-12 Step 9: Find J such that yi >= yj for all nodes j If yj = -1 then All then odds are inhibited thus cannot be clustered Step 10: Recomputed activation vector x of interface unit Xi= si *tji Step 11: Compute the sum of the components of vector x ||x||= ∑I Xi Step 12: Test for reset condition if ||x|| / ||s|| Yj = -1 (inhibited node j) Move to step step 8 again if ||x|| / ||s|| >= p then move to next step Step 13: Update the bottom up weights and top up weights as: bij (new)=L*xi / L 1 +| |x|| and Tji (new)=xi Step 14: Test for the stopping condition if((bij(new_val)==bij(previous_vreeal)))(tij(new_val)==tij(previous_val))) III. Classifying Breast Cell The data set for this research was taken from Mangasarian and Wolberg. This data set was obtained by taking Fine Needle Aspirates (FNA) approach. (7) This data set is available for public in UCI repository. (7) It contains 699 samples of patients consists of two classes 458 as benign cases and 451 malignant cases. The following are the attributes of the database: Sample Code Number Clump Thickness Uniformity of Cell Size Uniformity of Cell Shape Marginal Adhesion Single Epithelial Cell Size Bare Nuclei Bland Chromatin Normal Nucleoli Mitosis Class We have taken this data in its original form. This dataset is available in UC Irvine Machine Learning Repository (7) IV. Experiment Our Experiment consists of four different modules which is further divided and does work in the following sequence as given in the figure 5 below. Figure 5: Modules of the Algorithm A. Modules of the Experiment 1) Pre processing In our dataset, not all the features are taking part in the classification process thus; we remove patients id feature. Then we left with ten attributes so we separate the feature set from the class values as Xij and Yi. a) Data Normalization After preprocessing stage Normalization of Xij (nine feature vectors) need to perform by using this equation: New_val = (current _val min value) / (Max value min value) Where, New_val = New value after scaling current_val = Current value of the feature vector Max_val = Maximum value of each feature vector Minvalue = Minimum value of each feature vector b) Data Conversion The new values (New_val) after getting from the previous step are truncated and converted into binary format. Then grouping was done on the base of range; the values falling in the range of 0 to 5 assigned as 0. Whereas, values in the range from 5 to 10 are assigned as 1.Then each sample as an input is given to ART1 network for training and testing purpose. 2) Recognition Stage Initially all components of the input vector were assigned to zero because no sample was applied to the input layer. This sets the other two layers to zero there by disabling all the neurons and results in zero output. Since all neurons are at the same stage, thus every neuron has an equal chance to win. The input vector then applied in the recognition layer, at each neuron performs a dot product between the input vector and its weight vector. A neuron that comes with the greatest dot product possesses the weights that most excellent matches input vector. It inhibits all the other outputs from that neuron from that layer. This indicates the recognition layer stores the patterns in the form of weights associated with neurons one for each class. 3) Comparison Stage In the recognition layer the network fired passes one back to the comparison layer when it passes the output signal. The comparison neurons that will fire are the one those receive simultaneously from the input feature vector and the comparison layer excitation vector. If there is a mismatch between these two, few neurons in the comparison layer will fire to the next layer until X got over. This means that the pattern P being feedback is not the one sought and neuron firing in the recognition layer should be inhibited. Then comparison of the symptoms vector and the inner layer vector and if the value is less then vigilance parameter, the network causes reset which causes the firing neuron in the recognition layer to zero and disable it for the current classification. 4) Search Stage The classification process finishes if the reset signal is not generated. Otherwise other patterns were researched to find the correct match. This method continues until either all the stored pattern has been tried or all recognition neurons are inhibited. V. Results The performance of the Algorithm studied is as under: The Training percentage and testing percentage total time taken and the relative efficiency when vigilance parameter is 0.5 is given by the chart. Figure 6 : The classification performance on Vigilance parameter 0.5 The efficiency of the Network with vigilance parameter 0.7 on different percentage of training and testing sets given in figure 7. And on taking the vigilance parameter as 0.7 but on different percentage of training and testing dataset we got better efficiency than that of in figure 7 as shown in figure 8. Figure 7: The Classification performance on Epoch 0.7 Figure 8: Calculation of Efficiency on different proportion of data The efficiency of the Network with vigilance parameter 0.9 on different percentage of training and testing sets given as under: Figure 9 : The Efficiency of the Network on Vigilance Parameter 0.9 The Maximum and Minimum time for training the Network on different tolerance factors is in the table as: Table 1: Calculation of Training time VI. Conclusion In this paper, we evaluated the adaptive resonance theory for the diagnosis of breast cancer using Wisconsin as data set. Several tests has been taken on different proportion of training and testing dataset and we concluded that by taking the vigilance parameter as 0.5 and taking the ratio of data as 90% for training and 10 % for testing we could achieve the better results. Although we have taken into account all the parameters in the further scope of research, we use the feature selection process so that we can reduce the time and improve the accuracy. In addition to that, we take the dataset from the local hospital so that we use that for the benefit of the society. References Journal of Cancer Research and Therapeutics. Afroz, Fir, et al. 2012, Vol. 8. Heart Disease Diagnosis using Support Vector. Shashikant Ghumbre, Chetan Patil,Ashok Ghatol. Pattaya: International Conference on Computer Science and Information Technology, Dec. 2011. Stefan Conrady, Dr. Lionel Jouffe. Breast Cancer Diagnostics with Bayesian Networks. s.l.: Bayesia, 2013. DONG, Yiping. A Study on Hardware Design for High Performance Artificial Neural Network by using FPGA and NoC . s.l.: Waseda University Doctoral Dissertation, July -2011. S N Sivanandan, S Sumathi , S N Deepa. Introduction to Neural Network and Matlab 6.0. s.l.: Tata Mc-Graw -Hill, 2006. Evaluation of Three Neural Network Models using Wisconsin Breast Cancer. K. Mumtaz, S. A. Sheriff,K. Duraiswamy. UCL Wisconsin data set. [Online] [Cited: 30 10 2014.] http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(.

School Systems in Japan India and the US

This site is an first-class one to utilize in that it defines what a typical school twelvemonth looks like in England. This site besides describes what the standardised testing that is required for each pupil, what vacations are observed during the school twelvemonth, and when pupils are able to go forth school. This web site was written by a former instructor at the school. Bing a instructor, Ms. Barrow was able to easy depict how the educational system works in England. ( Barrow, 2009 ) Combs, K. & A ; Angela Bartlett. ( 2007, October ) . Education in Japan. Retrieved from www.education-in-japan.info This website gives an first-class overview of the school system in Japan and what the national course of study is in Japan. This site besides explains how the Japanese came up with the current system of primary, in-between and high schools. This site besides explains the learning doctrine in Japan and the four key functions pupils have in modern Nipponese schooling. This site was started by two adult females who wanted to explicate how the instruction system worked in Japan. They lived in Japan for a clip and wanted to assist people who were either traveling to Japan or non-Japanese people populating in Japan understand the school system. ( Combs & A ; Bartlett, 2007 ) Education system in India. ( 1998 ) . Retrieved from www.indiaedu.com/education-india/education-system-india.html This website gives an overview of the instruction system in India. This site besides talks about the universalization of an simple instruction in India and why it has non to the full occurred. It tells at what age a pupil is required to go to school and at what age they are allowed to go forth school. This site besides gives stats demoing the literacy rate between males/females and rural/urban countries. This site was started by a company that is based in India and was started in order to supply resources for the people of India to be able to obtain higher instruction grades. ( â€Å" Education system in, † 1998 ) Miller, D.C. , Sen, A. , Malley, L.B. , Burns, S.D. , & A ; Owen, E. US Department of Education, ( 2009 ) . Comparative indexs of instruction in the us and other g-8 states: 2009. Washington, DC: US Department of Education. This article compares the G-8 states and gives statistics demoing where the United States falls in assorted classs such as subject jobs, and entire population, per centum of pupils enrolled in formal instruction. There are besides statistics comparing instructor experience in the United States and the United Kingdom. This article besides goes on to give really elaborate information on the school systems of each of the G-8 states, which include Japan, the United Kingdom and the United States. Because this article was written by people in the US Department of Education, it should be accurate and timely. ( Miller, Sen, Malley, Burns, & A ; Owen, 2009 ) Osgood, R. L. ( n.d. ) . Dawdlers, idiots, human cinders and other curious childs: progressivism and pupil differences in determining public instruction in the united provinces. Unpublished manuscript, Muskingum University. This was a address given by Mr. Osgood which explicating how labels ( both good and bad ) were applied to pupils in the United States and how these labels affected their public presentation in school. Mr. Osgood went back to a book published in the early 1900 ‘s to obtain some of the background for his address. He talks about how labeling pupils either helped them stand out or keep them back from accomplishing ends in school. He besides spoke on how labels changed since the early 1900 ‘s. For illustration, a pupil, in the early 1900 ‘s, who was falling behind in school was called a dawdler. Today, he would necessitate particular instruction categories which would cement the label of being slow. Mr. Osgood was President of Muskingum University in New Concord, Ohio and an pedagogue so he is a believable beginning. ( Osgood ) Ruddock, G. & A ; Sainsbury, M. ( 2008 ) . Comparison of the Core Primary Curriculum in England to those of Other High Performing Countries. Department for Children, Schools, & A ; Families. This article was written by two bookmans in England who were comparing the instruction given to English kids from ages 7 – 11 to kids from around the universe. This article focuses on three chief countries, Mathematicss, Science and Literacy. The bookmans found that in Mathematics, the stuff was similar to the eight other states included in this survey. In Science, the bookmans discovered many assortments of course of study. No 1 was perceived to be better than any other. In literacy, the bookmans discovered that the other states were more likely to include the doctrine and principle behind the linguistic communication where in England, this was instead brief. This paper was written by two bookmans by petition of one of the British Government Departments. School old ages in England. ( n.d. ) . Retrieved from www.learnenglish.de/culture/educationculture.htm This website gives a elaborate listing of what ages are in what classs. It besides explains the difference of a Public school and a Government tally school. This site besides explains what national testing is done at what age degree and at what age a pupil is allowed to go forth school. This site was written to let non-English speech production people to larn English. All of the information obtained on this site was able to corroborate information received on other web sites refering to the English Education system. ( â€Å" School old ages in, † ) Schutz, G. , West, M.R. , and Wobmann, L. ( 2007 ) , â€Å" School Accountability, Autonomy, Choice, and the Equity of Student Achievement: International Evidence from PIDA 2003 † , OECD Education Working Papers, No. 14, OECD Publishing. Department of the Interior: 10.1787/246374511832 This article explains the doctrine that if a kid succeeds in schools so they will win later in life. This article besides explains whether supervising instructor lessons has any impact on pupil public presentation. This article talks about holding issue tests before a kid is allowed to go forth school and if that is a productive thought or non. This article besides touches on the thought that kids with low socio-economic alterations achieve every bit much as those with high socio-economic alterations. OECD, or Organization for Economic Cooperation and Development, is a authorities organisation in France and should be a really dependable beginning for this paper. ( Schutz, G. , 2007 ) Schmidt, W. H. , Houang, R. , & A ; Shakrani, S. ( 2009 ) . International lessons about national criterions. Thomas B Fordham Institute. This article, written by three writers at the Thomas B Fordham Institute, gives information refering to the Indian School System. It provides more information refering how the Indian Government perceives instruction and how the schools are funded. It besides explains the National Curriculum that India has and who is responsible for implementing that the course of study is followed. It explains who comes up with the course of study for each topic, what topics are taught in what schools and when national tests are given. The Thomas B Fordham Institute is an organisation that wants to progress educational excellence for every kid. ( Schmidt, Houang, & A ; Shakrani, 2009 ) Wieczorek, C. C. ( 2009 ) . Comparative analysis of instruction systems of American & A ; Nipponese schools: positions and visions. Unpublished manuscript, Department of Foreign Languages, University of Toledo, Toledo, Ohio. This article explains how the Japanese and the United States school systems are similar, but it besides explains how they are different. The writer ne'er comes out and says which is better, but he does indicate out that the United States seems to hold more troubles to get the better of. This writer wrote this paper as a consequence of an assignment for a category he was taking at the University. Some of the information that was given in this paper could be verified by other beginnings. ( Wieczorek, 2009 ) World Bank, ( 2000 ) . Investing in instruction: analysis of the 1999 universe instruction indexs, instruction and accomplishments Washington, DC: Retrieved from www.electrade.gfi.fr/cgi-bin/OECDBookshop.storefront This article explains in item how the instruction system in India plants. It explains what ages are in what school each age is assigned. This article besides explains how the federal authorities and the provincial and regional authoritiess are involved in the instruction system. The World Bank is an organisation overseen by the United Nations. The information presented by them should be every bit accurate as possible. ( World Bank, 2000 )

Cyber Culture The Future of Print Essay - 1667 Words

When we think of technology, what often comes to mind are televisions, communications devices such as cell phones and satellites, computers, and different modes of transportation. However, there are other ways in which technology is applied, one of those being the Internet and its various components including email, chat rooms, and search engines. The list of uses for the Internet is innumerable and many corporations and universities are forcing people to make use of it. But no matter how much this new technology is forced on us, people are still resistant to it. As George Landow, Professor of English and Art History at Brown University, states, Technology, in the lexicon of many humanists, generally means only that technology of which I†¦show more content†¦Being able to access this information has eliminated much time involved in researching evidence for papers. With the click of a few buttons, the databases automatically retrieve a list of archived information relative to almost any topic a student would need. This eliminates running from the library’s computerized index, to the bookshelves, to the checkout desk or the copy machine in order to obtain information. In addition, assuming there are no faulty internet connections, online references are always available which eliminates having to wait for books and articles to be returned for use by the next patron. Although the research process has been facilitated by this aspect of cyber culture and has had little effect on how we actually write, it has changed the amount of evidence students are willing to cite in their reference papers. Students are probably more likely now to cite more references in their papers seeing as the information needed is more easily accessible. It used to be that when teachers told students to cite references they had to force students to include an online reference. Now, online references are so easily accessible that teachers are requiring students to actually go to the library, look up a book, and include it as a reference. Cyber culture has also facilitated the research and writing process in another way. Previously, anytime there was question of meaning about some text, the reader would have to locate the author, send a letter, andShow MoreRelatedEssay about Cyber Culture and The Future of Print1610 Words   |  7 PagesCyber Culture and The Future of Print How has writing and the way we read changed in the last fifty years? Technology, reading, and writing has changed greatly over the last five decades, but how much has it affected our culture? Technology has become our culture, we are cyber culture. 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The Pros And Cons Of Communication Technology - 1354 Words

Communication technology is an ever growing market. Over the last ten years alone there has been an explosion of applications used to connect people with family and friends both in the same town and across the world. It has become next to impossible for the average individual in America to go one day without communicating via text, email, or through one of the many social media sites. The pervasive nature of communication technology and the level it has infiltrated people s lives is causing some to question its innocence, while others continue to bask in its glory. I am of both minds. I can no longer picture life without my phone and social media and do appreciate much of what it has to offer. However, I miss having friendships†¦show more content†¦Turkle makes her case by giving others a platform to voice how they feel technology has impacted their lives. Throughout Turkle references there are these commonalities: There is pressure to communicate through text and ema il exclusively because either the expectation of a phone call is too high, or, it is believed that the other person would be annoyed by the phone call, they enjoy the control over content and response time they feel texts and emails gives, and they see relationships that have been affected negatively by communication technology but have no interest in changing themselves. Though Wortham and Turkle have two different viewpoints, their illustrations share some commonalities. Within Turkle s essay several of the people she referenced, especially the teenagers, want the communication that technology provides. Though some might wish it impacted their lives on a smaller scale they do not plan to change. Versely, within Worthams essay she discusses a new communication format designed specifically for couples she had been testing with her boyfriend (393). However, when she explained it to others she mentioned that they â€Å"asked me whether people really needed yet another application to talk to people they are closest to.† (Wortham 395). A reaction that implied that though they appreciate communication applications there is the idea that we already have enough. I think both sides are relatable.Show MoreRelatedPros And Cons Of Facebook987 Words   |  4 PagesFacebook and its Enemies Technology should take the blame for sexting, bullying, identity theft, and many other social issues. However, others may say technology can help conduct schedules, simplify work and home businesses, coordinate activities, communicate with families and much more. Facebook, the   most famous social networking site, comes with its own pros and cons. Facebook though is an enemy to society and single handedly controls the lives of many people. 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