Advantages Of Naive Bayes Classifier

According to Center for Disease Control (CDC), influenza viruses are divided into three types, designated as A, B, and C. Influenza type C usually only causes either very mild symptoms or no symptoms at all. Types A and B, however, are responsible for epidemics of respiratory illnesses that can result in hospitalization, or even death. Influenza is constantly changing over time by mutations. This continual change allows the virus to evade the antibodies that were meant to kill it. A host infected with influenza virus develops antibodies against that virus; as the virus changes, the "first" antibody no longer recognizes the "newer" virus and infection can occur because the host does not recognize the new flu virus as a problem until the infection is well under way. The first antibody developed may, in some instances, provide partial protection against infection with a new influenza virus. According to Medicine Net.com, In 2009, almost all individuals had no antibodies that could recognize the novel H1N1 virus immediately. It quickly spread throughout the world so fast that the WHO declared this new flu strain (termed novel H1N1 influenza A swine flu). There are currently four main strains of influenza circulating worldwide. Three of the viruses are type A, and one is type B. Type A viruses are divided into subtypes based on the differences in two viral proteins called hemagglutinin (H) and neuraminidase (N). The three subtypes of influenza A are A(H1N1), A(H3N2), and A(H5N1). The reason for several strands of type A are because of the two kinds of change influenza A

In the data set, there is lack of redundancy of data given the orthogonal components and it enhances the efficiency on the processes that are taking place in the smaller dimension.

The goal of the feature extraction and selection is to reduce the dimension of the data. In this experiment the dimension of the AVIRIS and HYDICE images reduced to 20 from 220 and 191 respectively using PCA. From the PCA analysis we can see that image of principal component 1 is brightest and sharpest than other PCA image which is illustrated in figure-2.

Influenza (the flu), is an infectious disease caused by the influenza virus. The symptoms of influenza range from mild to severe and usually start 2 days after exposure to virus, the most common symptoms are high fever, sore throat, runny nose, muscle pains, headache, coughing, and feeling tired.

The process for ruling out avian flu includes collecting swabs from the patient’s nose or throat, and collecting a blood sample to look for evidence of antibodies (Avian Influenza, 2015). When performing these procedures, the healthcare worker should be sure to minimize exposure to bodily fluids and perform thorough hand hygiene before continuing interactions with the patient, so that they do not make them feel unclean.

potential pathogens and their particular tissue location. Rapid influenza antigen testing is completed by swabbing the nose, mouth or throat obtaining secretions for staining with fluorescent antibodies to identify the virus. This usually takes 1 to 3 hours for the determination of results whether a bacteria is positive or negative, so that the correct antibiotics can be prescribed. First a thin smear of bacteria on a clean slide that is covered with crystal violet stain for 1 minute. A wash is completed and iodine solution is added to the smear to enhance staining for 1 minute. Being rinsed again in water and then 95% ethanol for one minute. Washing the violet stain off will differentiate between the two types of bacteria. If the bacteria

The flu (influenza) is a highly contagious virus that attacks the respiratory system. The flu has three strains, H1N1 strain, H3N2 strain and influenza B strain. The first known case according to UXL Encyclopedia of Diseases and Disorders “The first influenza pandemic that is known to have been global in scale took place in 1850; it started in China and spread across central Asia to Africa and then to Europe where it nearly wiped out the populations of several major cities in southern Italy and Spain”. The number of cases in the U.S. and worldwide is according to www.cdc.gov “There has been 11,965 laboratory-confirmed flu-related hospitalizations.” The number of cases in the US and world wide per year is 3-5 million.

For this component, we plan to optimize the DSS in three ways: 1) by enhancing the knowledge representation of the patient database; 2) by adding a probabilistic component to the classification system; 3) by improving the prediction accuracy of the classification system through the creation of statistically coherent committees. We propose to revisit the machine learning choices made in our preliminary study and integrate into the classification process descriptive features represented in different formats. We hypothesize that the information they carry may be important to consider in conjunction with the information carried by other features. This is particularly important given the sensitivity of the new task that we are planning to study.

The H1N1 is a flu virus that was first detected in 2009 in farm animals. It was called the swine flu because the virus was most similar to those mostly in pigs. The H1N1 flu virus is currently a contagious flu, being commonly found in humans and animals. Even though the flu is found in pigs, you cannot obtain the flu by eating properly hand and cooked pork or pork products. However, you can attain the virus when inhaling or engulfing droplets of the virus from people either sneezing or coughing onto you. Unfortunately, if you contain the virus, you would start to experience symptoms that are similar to most influenza infections such as fever, coughing, nasal secretions, fatigue, and headaches. Most people that obtain the virus will start to get a sore throat, rash, body aches, chills, nausea, vomiting, and diarrhea. The first period from being exposed to the flu is about one to four days, with an average of two days. If the patient experiences symptoms for a whole two weeks, the flu will last longer and will eventually cause a severe infection. If the symptoms continue to last longer than two weeks, then you might have to be hospitalized and be treated with more medical attention. But luckily

Swine influenza (swine flu) is a respiratory disease of pigs caused by type A influenza viruses that regularly cause outbreaks of influenza in pigs. Influenza viruses that commonly circulate in swine are called “swine influenza viruses” or “swine flu viruses.” Like human influenza viruses, there are different subtypes and strains of swine influenza viruses. The main swine influenza viruses circulating in U.S. pigs in recent years are:

Swine Influenza (swine flu) is a respiratory disease of pigs caused by type A influenza viruses that causes regular outbreaks in pigs. People do not normally get swine flu, but human infections can and do happen. Swine flu is also known as pig influenza, swine flu, hog flu and pig flu. This is a viral disease caused by several type swine flu viruses known as Swine influenza virus (SIV) or swine-origin influenza virus (S-OIV) which is a strain belongs to the influenza family and endemic to pigs. There are several subtypes of Influenza A virus known as H1N1, H1N2, H2N1, H3N1, H3N2, and H2N3. CDC has determined that this virus is contagious and is spreading from human to human. However, at this time, it not known how easily the virus spreads between

Outbreaks in swine flu are common and cause significant economic changes within a number of industries. Generally swine flu may be determined to be negative however there are a few positives that can be identified under the pandemic resulting from the exposure to the disease and the increased awareness.

To implement naive bayes classier to predict work type for a person with given attributes. SOFTWARE REQUIREMENTS :  Linux Operating System  Java Compiler  Eclipse IDE MATHEMATICAL MODEL : Consider a following set theory notations related to a program. The mathe- matical model M for Naive Bayes classier is given as below, M=fS,So,A,Gg Where, S=State space.i.e All prior probabities to calculate probability of X being a part of class `c ' So= Initial State.i.e

The J48 classification algorithm considers all the possible tests that can split the data set and selects a test that gives the best information gain. So, whenever it encounters a training set it identifies the attribute that discriminates the various instances in a most clear way. From the possible values, if there is an attribute with unique value and if it has the same value as that of target value then the branch is ended

To construct an optimal hyperplane, SVM employs an iterative training algorithm, which is used to minimize an error function. According to the form of the error function, SVM models can be classified into four distinct groups: