{"_id":"nZXysb9DAv4CTkPqz","bibbaseid":"forssen-patel-fitzpatrick-hingorani-timmis-hemingway-denaxas-evaluationofmachinelearningmethodstopredictcoronaryarterydiseaseusingmetabolomicdata-2017","authorIDs":[],"author_short":["Forssen, H.","Patel, R. S","Fitzpatrick, N.","Hingorani, A.","Timmis, A.","Hemingway, H.","Denaxas, S. C"],"bibdata":{"bibtype":"article","type":"article","title":"Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data","author":[{"propositions":[],"lastnames":["Forssen"],"firstnames":["Henrietta"],"suffixes":[]},{"propositions":[],"lastnames":["Patel"],"firstnames":["Riyaz","S"],"suffixes":[]},{"propositions":[],"lastnames":["Fitzpatrick"],"firstnames":["Natalie"],"suffixes":[]},{"propositions":[],"lastnames":["Hingorani"],"firstnames":["Aroon"],"suffixes":[]},{"propositions":[],"lastnames":["Timmis"],"firstnames":["Adam"],"suffixes":[]},{"propositions":[],"lastnames":["Hemingway"],"firstnames":["Harry"],"suffixes":[]},{"propositions":[],"lastnames":["Denaxas"],"firstnames":["Spiros","C"],"suffixes":[]}],"journal":"arXiv preprint arXiv:1703.02116 EFMI Informatics for Health 2017","year":"2017","bibtex":"@article{forssen2017evaluation,\n title={Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data},\n author={Forssen, Henrietta and Patel, Riyaz S and Fitzpatrick, Natalie and Hingorani, Aroon and Timmis, Adam and Hemingway, Harry and Denaxas, Spiros C},\n journal={arXiv preprint arXiv:1703.02116 EFMI Informatics for Health 2017},\n year={2017}\n}\n\n","author_short":["Forssen, H.","Patel, R. S","Fitzpatrick, N.","Hingorani, A.","Timmis, A.","Hemingway, H.","Denaxas, S. C"],"key":"forssen2017evaluation","id":"forssen2017evaluation","bibbaseid":"forssen-patel-fitzpatrick-hingorani-timmis-hemingway-denaxas-evaluationofmachinelearningmethodstopredictcoronaryarterydiseaseusingmetabolomicdata-2017","role":"author","urls":{},"downloads":0,"html":""},"bibtype":"article","biburl":"http://denaxaslab.org/output.bib","creationDate":"2020-01-20T09:08:49.554Z","downloads":0,"keywords":[],"search_terms":["evaluation","machine","learning","methods","predict","coronary","artery","disease","using","metabolomic","data","forssen","patel","fitzpatrick","hingorani","timmis","hemingway","denaxas"],"title":"Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data","year":2017,"dataSources":["RXyKFmEdt9bbAisky"]}