A natural way to cure Jaundice

It is many times seen that people suffering from Jaundice have to be fully dependable on their medicines through out the medicines course. Jaundice is caused by in take of infected water or using of infected injection. In Jaundice liver is impacted where it get swollen due to infection and it is considered as only medicine can cure Jaundice. However Jaundice has several types Jaundice A, Jaundice B and Jaundice C, out of which only Jaundice A is completely curable.

However during old days people were using natural medicines to cure the Jaundice. Because during old days, there were no medicines available to people and also now in underdeveloped and developing countries, it is seen that people cannot afford to buy medicine or go through medical treatment for Jaundice.

So what was the cure or the miraculous thing that can cure Jaundice. It is the pulp in Crabs. In all species of Crab, there is yellowish or orange substance. when a Crab is broken in half horizontally, inside of it there is sticky yellowish or orange color substance. If a patience suffering from Jaundice, daily eats this sticky substance or daily eat crabs then A type Jaundice gets cured without in take of medicines. Since this cure is adopted in Villages , River crabs or mud crabs are used for this. So people do is they the pulp out and add it into the crab curry or gravy while cooking it.

Now this is only for Non-Vegetarian as Crab is meat thing and Vegetarian don’t eat Crabs. Crab gravy or curry has strong aroma and Asian countries like India cook crab with lot of chilly.

Naive Bayes Algorithm

Abstract:
The Naive Bayes algorithm is a prediction and classification algorithm. It uses Bayes’ Theorem, a formula that calculates a probability by counting the frequency of values and combinations of values in the historical data. Naïve bayes algorithm is used in data mining process. Data mining is a process of analyzing patterns from historical information and transform it into an understandable structure for future use. Typical use of data mining process is in Science fields where analysts indentifies the patterns based on historical data available and use those patterns to predict future activities. It is also used in medical fields, like whether a patient has heart disease or not from his historical data like patient’s age, blood sugar level and other symptoms.
Description:
Naïve bayes algorithm is based on three concepts,
Prior : Past experience
Likelihood: chance of event could happen.
Posterior: predicting the event will occur

Prob(B given A) = Prior * Prob(A and B)/Prob(A)
Example: Support you would like to determine the possibility that people over 60 ages are more prone to heart disease. In this case, prior condition (A) would be over 60 and dependent condition (B) would be having heart disease.
If there are 100 persons randomly tested for heart disease and before testing it is already known that out of them 25 are having heart disease,
Probability of A and B, (means people are tested and have heart disease previously) = 25%
If 75 of the 100 patients are over 60, then
Probability of (A)= 75%
Then in this case, Bayes Theorem would predict that that 33% of the patients over 60 are likely prone to heart disease (25/75).

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