Diagnosing hospital bacteraemia in the framework of predictive, preventive and personalised medicine using electronic health records and machine learning classifiers.

"Declarations Conflict of interestThe authors declare no competing interests. Ethics approval and consent to participateThis is an observational and retrospective study. This study is in accordance with the ethical standards of the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this type of study, formal consent is not required. This is an observational retrospective study without interventions and medicaments. Consent for publicationNot applicable Conflict of interest The authors declare no competing interests. Conflict of interest"

"Funding Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work was supported by Fundación Eugenio Rodríguez Pascual 2019 grant –Development of adaptive and bioinspired systems for glycaemic control with continuous subcutaneous insulin infusions and continuous glucose monitors; the Spanish Ministerio de Innovación, Ciencia y Universidad –grant RTI2018-095180-B-I00; Madrid Regional Government –FEDER grants B2017/BMD3773 (GenObIA-CM) and Y2018/NMT- 4668 (Micro-Stress- MAP-CM)."