physics

Physician Data Query

Physician Data Query is a physics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Physician Data Query rather than just read about it. In short: Physician Data Query (PDQ) is the US National Cancer Institute's (NCI) comprehensive cancer database. Database It contains peer-reviewed summaries on cancer treatment, screening, prevention, genetics, and supportive care, and complementary and alternative medicine; a registry of more than 6,000 open and 17,000 closed cancer clinical trials from around the world; and a directory of professionals who provide genetics…

Key takeaways

Physician Data Query belongs to physics; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Physician Data Query to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Physician Data Query from memory before moving on to harder problems.

Reference excerpt

Physician Data Query (PDQ) is the US National Cancer Institute's (NCI) comprehensive cancer database.

Database It contains peer-reviewed summaries on cancer treatment, screening, prevention, genetics, and supportive care, and complementary and alternative medicine; a registry of more than 6,000 open and 17,000 closed cancer clinical trials from around the world; and a directory of professionals who provide genetics services. PDQ makes available two data resources. The PDQ NCI Cancer Terms Database is a resource of cancer-related terms, curated by a multidisciplinary panel of reviewers, that is released monthly. The NCI Drug Dictionary is a structured list of technical definitions and synonyms for drugs/agents used to treat patients with cancer or conditions related to cancer. The NCI also makes a browse-able version of the Cancer Terms database available as part of the NCI Terminology Browser

References

External links Physician Data Query website Retrieved 27 November 2018.

Illustrations

Worked examples

Example 1 — a first encounter with Physician Data Query

Start with the simplest possible case. Write down what Physician Data Query claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Physician Data Query before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Physician Data Query ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Physician Data Query

In research: Physician Data Query appears in physics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Physician Data Query in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Physician Data Query is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cancer databases, Databases in the United States, so understanding it makes those chapters shorter.
In everyday life: Look for Physician Data Query outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Physician Data Query in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Physician Data Query means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Physician Data Query out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Physician Data Query in simple terms?

Physician Data Query (PDQ) is the US National Cancer Institute's (NCI) comprehensive cancer database. Database It contains peer-reviewed summaries on cancer treatment, screening, prevention, genetics, and supportive care, and complementary and alternative medicine; a registry of more than 6,000 ope…

Why does Physician Data Query matter?

Because it connects several physics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Physician Data Query?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Physician Data Query.