作者: M.W. Kattan
DOI: 10.1016/B0-08-043076-7/00556-8
关键词: Expert system 、 Risk analysis (engineering) 、 Medical prescription 、 Medical decision making 、 Decision support system 、 Subject-matter expert 、 Knowledge management 、 Patient care 、 Feature (machine learning) 、 Medicine
摘要: Medical expert systems are designed to improve patient care by optimizing medical decision making. The distinguishing feature of is that they make recommendations based on input data; differentiated from support in the latter help clinicians decisions rather than actually recommendation, which what an system does. This recommendation essentially a prediction (of diagnosis or prognosis) prescription (i.e., treatment recommendation). key issue measuring progress made thus far efficacy evaluation. For diagnostic prognostic problems, question whether these have been able predict more accurately human experts. literature suggests at least as accurate recommendations, truly improved outcomes? Again, it appears validated good those experts, but base smaller. When trying answer either questions, numerous issues need be considered.