Computing and Mathematics in Nephrology; Selection, presentation, and interpretation of biochemical data in renal failure
| Autor: | D. Brian Morgan, Eric J. Will |
|---|---|
| Rok vydání: | 1983 |
| Předmět: |
Nephrology
medicine.medical_specialty Pathology Interpretation (logic) business.industry media_common.quotation_subject Data manipulation language Context (language use) Task (project management) Presentation Internal medicine Medicine Medical physics business Function (engineering) Selection (genetic algorithm) media_common Mathematics |
| Zdroj: | Kidney International. 24:438-445 |
| ISSN: | 0085-2538 |
| DOI: | 10.1038/ki.1983.180 |
| Popis: | The physicians task is to classify his patient's conditions to predict their course and to take effective action at the most appropriate time. Biochemical measurements often assist them as a series of measurements to assess the development of a disorder and the prognosis or as a single measurement to assess a function or allocate the patient to a disease category (diagnosis). The proper selection, presentation, and interpretation of data is an important part of any physician's activity. The display of sequential data and the manipulation of single values are very simple in mathematical terms, but the tedium of calculation and plotting has prevented large-scale application. There is, therefore, a need for quick, reliable, repetitive data manipulation and display. These are ideal, if low level, tasks for a computer. We will not discuss the computing aspect further, but instead concentrate on the aims and advantages of data manipulation and display in the particular context of the detection and management of renal disease. Initially, we will consider the handling of sequential data which are collected from the majority of patients attending renal clinics. Then we will discuss the evaluation of single measurements collected to assess renal function. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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