Henriapi illustrates this phenomenon as well.

Only instead of, you know, good and bad cancer tumors or benign or malignant tumors we instead have diabetes or not and so we will use that as a supervised, we will solve that as a Supervised Learning problem just like we did for the breast tumor data.

We didn't sequence his genome.

So on. So this example...

Here's an example of a training set for a classification task for classifying a tumor as malignant or benign and notice that malignancy takes on only two values zero or no or one or one or yes.

So 0 may denote the benign tumor and 1 positive class may denote a malignant tumor.

First of all, these electrodes are noninvasive.

Walt, your tumor has shrunk by 80 percent.

So, if angiogenesis is a tipping point between a harmless cancer and a harmful one, then one major part of the angiogenesis revolution is a new approach to treating cancer by cutting off the blood supply.

That's another classification problem, and earlier we also talked about the example of classifying tumors as a cancerous malignant or as benign tumors.

Mice with multiple myeloma, an incurable malignancy of the bone marrow, respond dramatically to the treatment with this drug.

What does that mean?

The important thing is that, uh, the skin wasn't broken.

Let's see you want to look at medical records and try to predict of a breast cancer as malignant or benign.

Bears often scratch their backs on the bark of trees.

So here is a nine year old boxer named Milo, who had a very aggressive tumor called a malignant neurofibroma growing on his shoulder.

A few years ago I felt a lump on the side of my neck, and it was my turn in the MRI machine.

Spaceport floozy, spaceport floozy...

In other words, I'm going to tell my patient that the tumor, sadly, has a 70 chance or a 0.7 chance of being malignant.

That's counterindicative for a hemorrhagic tumor.

And a different set of patients, they look a little different, whose tumors turn out to be malignant, as denoted by the crosses.

But often there is this intuition that the negative class is conveying the absence of something, like the absence of a malignant tumor, whereas one, the positive class, is conveying the presence of something that we may be looking for.

I have chronic dermatitis.

So this is a photograph of Henry, two weeks after he had a malignant cancer removed from the left side of his face his cheekbone, his upper jaw, his eye socket.

So given a data set like this, what the learning algorithm might do is throw the straight line through the data to try to separate out the malignant tumors from the benign ones and, so the learning algorithm may decide to throw the straight line like that to separate out the two classes of tumors.

Her guts were swimming with parasitic worms.

I'm troubled with atopic dermatitis.

This is a little Bangladeshi girl from the east end of London who's got a huge malignant tumor on the right side of her face, which has already made her blind and which is rapidly growing and is going to kill her shortly.

And bone marrow is actually what we use to save the lives of tens of thousands of patients, most of whom have advanced malignancies like leukemia and lymphoma and some other diseases.

I wish I'd had conventional reconstructive techniques rather than this because I'm now dying of a malignant cancer ?

You are so bad.

Tumors?

But even as we grasp at victory, there is a cancer, an evil tumour, growing, spreading in our midst.

Fur coats are on sale.

known as hibakusha , continue to carry they also suffer from numerous illnesses considered to be aftereffects of the A bomb

After traveling so much and meeting so many people,

The problem with breast density is that it's truly the wolf in sheep's clothing.

Just tell it to call you Billie, you bitch!

One of this size, one of this size. And so on.

Here are a few of our collaborating sites.

And started to use different symbols, circles and crosses, to denote malignant versus benign examples.

Herbie

or cortical visual impairment.

This is 20 year old dolphin living in Florida, and she had these lesions in her mouth that, over the course of three years, developed into invasive squamous cell cancers.

It's his mobile phone!