You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Outcome", "Participant", "Intervention"].

Please return the output as a JSON object of the format: {"Participant" : ["patients with COPD", ...], "Intervention" : ["Atenolol", ...], "Outcome" : ["blood pressure", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Mapping from disease-specific measures to health-state utility values in individuals with migraine . OBJECTIVE The objective of this study was to develop empirical algorithms that estimate health-state utility values from disease-specific quality-of-life scores in individuals with migraine . METHODS Data from a cross-sectional , multicountry study were used . Individuals with episodic and chronic migraine were randomly assigned to training or validation samples . Spearman 's correlation coefficients between paired EuroQol five-dimensional ( EQ-5D ) questionnaire utility values and both Headache Impact Test ( HIT-6 ) scores and Migraine-Specific Quality-of-Life Questionnaire version 2.1 ( MSQ ) domain scores ( role restrictive , role preventive , and emotional function ) were examined . Regression models were constructed to estimate EQ-5D questionnaire utility values from the HIT-6 score or the MSQ domain scores . Preferred algorithms were confirmed in the validation samples . RESULTS In episodic migraine , the preferred HIT-6 and MSQ algorithms explained 22 % and 25 % of the variance ( R ( 2 ) ) in the training samples , respectively , and had similar prediction errors ( root mean square errors of 0.30 ) . In chronic migraine , the preferred HIT-6 and MSQ algorithms explained 36 % and 45 % of the variance in the training samples , respectively , and had similar prediction errors ( root mean square errors 0.31 and 0.29 ) . In episodic and chronic migraine , no statistically significant differences were observed between the mean observed and the mean estimated EQ-5D questionnaire utility values for the preferred HIT-6 and MSQ algorithms in the validation samples . CONCLUSIONS The relationship between the EQ-5D questionnaire and the HIT-6 or the MSQ is adequate to use regression equations to estimate EQ-5D questionnaire utility values . The preferred HIT-6 and MSQ algorithms will be useful in estimating health-state utilities in migraine trials in which no preference-based measure is present .
{"Intervention": ["HIT-6", "EuroQol five-dimensional ( EQ-5D ) questionnaire", "MSQ", "Migraine-Specific Quality-of-Life Questionnaire version 2.1 ( MSQ )", "MSQ algorithms"], "Outcome": ["Headache Impact Test ( HIT-6 )", "mean observed and the mean estimated EQ-5D questionnaire utility values", "Spearman \u0027s correlation coefficients", "Migraine-Specific Quality-of-Life Questionnaire version 2.1 ( MSQ ) domain scores"], "Participant": ["Individuals with episodic and chronic migraine", "individuals with migraine ."]}