Heart disease prediction thesis

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Heart disease prediction thesis

Posted on December 12, by Scott Alexander Aquinas famously said: For example, take medical research. Suppose a certain drug is weakly effective against a certain disease. After a few years, a bunch of different research groups have gotten their hands on it and done all sorts of different studies.

But there will also be random noise caused by inevitable variation and by some of the experiments being better quality than others.

In the end, we might expect something looking kind of like a bell curve. We see that the peak of the curve is somewhere to the right of neutral — ie weakly effective — and that there are about 15 studies that find this correct result. But there are also about 5 studies that find that the drug is very good, and 5 studies missing the sign entirely and finding that the drug is actively bad.

This is before we get into fraud or statistical malpractice. As we increase experimental rigor, the bell curve might get squashed horizontally, but there will still be a bell curve.

But maybe the drug is more effective in bipolar i than in bipolar ii Depakote, for example Or maybe the drug is very effective against bipolar mania, but much less effective against bipolar depression Depakote again. And the latest study shows that their drug is great!

Or they could add all of those studies about slightly different things. Depakote is ineffective at treating bipolar depression. Depakote is ineffective at maintenance bipolar therapy. Depakote is ineffective at bipolar ii. I think medical science is still pretty healthy, and that the consensus of doctors and researchers is more-or-less right on most controversial medical issues.

Like, take the minimum wage question please. We all know about the Krueger and Card study in New Jersey that found no evidence that high minimum wages hurt the economy. We probably also know the counterclaims that it was completely debunked as despicable dishonest statistical malpractice.

Maybe some of us know Card and Krueger wrote a pretty convincing rebuttal of those claims. Or that a bunch of large and methodologically advanced studies have come out since then, some finding no effect like Dubeothers finding strong effects like Rubinstein and Wither. These are just examples; there are at least dozens and probably hundreds of studies on both sides.

But we can solve this with meta-analyses and systemtic reviews, right? Depends which one you want.

Online Heart Health Calculator Could Predict Risk of Dying From Cardiovascular Disease: Study

Do you go with this meta-analysis of fourteen studies that shows that any presumed negative effect of high minimum wages is likely publication bias?

With this meta-analysis of sixty-four studies that finds the same thing and discovers no effect of minimum wage after correcting for the problem?

Heart disease prediction thesis

Or how about this meta-analysis of fifty-five countries that does find effects in most of them? Maybe you prefer this systematic review of a hundred or so studies that finds strong and consistent effects?

Can we trust news sources, think tanks, econblogs, and other institutions to sum up the state of the evidence?

The weight of the evidence is that such impacts are small to none.

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They seem like experts.A popular cardiovascular disease risk-prediction app developed by the American College of Cardiology is now able to run within electronic health record systems at the point of care where providers. An artificial intelligence algorithm has bested experts at predicting patient deaths from heart disease.

In a study published recently in the journal PLOS One, researchers from the Francis Crick. of patients getting a heart disease. It enables significant knowledge, e.g. patterns, relationships between medical factors related to heart disease, to be established.

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It can serve a training tool to train nurses and medical students to diagnose patients with heart disease. Vitamin D is required for the regulation of the minerals calcium and phosphorus found in the body.

It also plays an important role in maintaining proper bone structure. Sun exposure is an easy. Prediction of Coronary Heart Disease by learning from retrospective study By: Srisai Sivakumar, aka, the data science dude.

Introduction. Coronary heart disease (CHD) is the term that describes what happens when your heart's blood supply is blocked or interrupted by a build-up of fatty substances in the coronary arteries.

Sep 30,  · Ngoni Madungwe, won first place at the 3 Minute Thesis competition at the Mikiten Graduate Research Symposium.

Ngoni is a biomedical engineering graduate student in .

What is a good thesis statement for a heart disease term paper? | Yahoo Answers