This research aims at deepening the validation of knee arthrofibrosis rehabilitation techniques. It begins with a bibliographic review and an initial diagnosis that justifies the need to investigate these issues, and aspects that give consistency to them. We designed both a pre-test and a post-test, where the patient is physically examined, as well as a questionnaire is applied about the degree of pain or degree of independence. In the study we proposed to the patients to answer questions about the pain degree in form of intervals rather than single values, this allows us to assess most accurately what patients feel, however, we gain in imprecision. To this end, we use the Neutrosophic Statistics theory, which extends the classical statistical methods to the interval-valued domains. Finally, after applying the t-Student’s test we concluded the effectiveness of the treatment.
Guerrón Enríquez, Sara; Zuly Ribel Nazate Chugá; Ruth Isabel Tavera; María Clemencia Villareal Gel; and Darvin Manuel Ramírez Guerra. "Neutrosophic Statistical Analysis of Arthrofibrosis of the Knee Rehabilitation." Neutrosophic Sets and Systems 44, 1 (2021). https://digitalrepository.unm.edu/nss_journal/vol44/iss1/6