作者: David L. Sackett , George W. Torrance , Warren H. Thomas
DOI:
关键词: Operations research 、 Actuarial science 、 Population 、 Selection (genetic algorithm) 、 Ranking 、 Time-trade-off 、 Rank (computer programming) 、 Scale (social sciences) 、 Utility maximization 、 Medicine 、 Health care
摘要: A linear health utility scale is described, complete with measurement instruments, that allows assignment of values to states for any disease or treatment program. Given the change produced by a care program in population determinable, this permits assessment effectiveness terms it produces overall utility. This basis model will rank programs their effectiveness/cost ratios select them into subset achieving maximum under specific cost other constraints. Two algorithms are suitable respectively priority ranking and selection giving constraints, application discussed.