Systematic reviews can provide important evidence support for clinical practice and health decision-making. In this process, literature screening and data extraction are extensively time-consuming procedures. Natural language processing (NLP), as one of the research directions of computer science and artificial intelligence, can accelerate the process of literature screening and data extraction in systematic reviews. This paper introduced the requirements of systematic reviews for rapid literature screening and data extraction, the development of NLP and types of machine learning; and systematically collated the NLP tools for the title and abstract screening, full-text screening and data extraction in systematic reviews; and discussed the problems in the application of NLP tools in the field of systematic reviews and proposed a prospect for its future development.
ObjectiveTo construct the comprehensive evaluation indicator system of Chinese patent medicines for ischemic stroke, to determine the weight of indicators, and to provide references for the comprehensive evaluation of the efficacy, safety, and economy of Chinese patent medicines.MethodsTwo rounds of expert consultation by Delphi method were applied to establish the comprehensive evaluation indicator system of Chinese patent medicines for ischemic stroke, and the weight of each indicator was determined by the analytic hierarchy process method.ResultsQuestionnaire recovery rates of 2 rounds were 92.59% and 96.00%, the expert authority coefficient was greater than 0.7, and the coordination coefficients of experts in the total index were 0.224 and 0.370 (P<0.001). A three-level comprehensive evaluation indicator system for Chinese patent medicines for ischemic stroke was established and the three first-level indicators included efficacy, safety, and economy. And there were 15 second-level indicators, and 33 third-level indicators. Through the analytic hierarchy process method, the weights of each first-level indicator were 0.626 4, 0.301 2, and 0.072 4, respectively.ConclusionThe comprehensive evaluation indicator system contains efficacy, safety and economy, and provides a basis for a comprehensive evaluation of Chinese patent medicines for ischemic stroke. The indicator system is of great significance for the design of outcomes for clinical trials of ischemic stroke, the conduction of systematic reviews, and the development of clinical practice guidelines for ischemic stroke patients when selecting study outcomes.