{"_id":"Zw9pxnQze4nmWNBMi","bibbaseid":"yang-hong-pretrainingofpatientrepresentationsonstructuredelectronichealthrecordsforpatientoutcomepredictioncasestudyasselfharmscreeningtool-2022","author_short":["Yang, Z.","Hong, Y."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","address":"Washington DC USA","title":"Pretraining of Patient Representations On Structured Electronic Health Records for Patient Outcome Prediction: case study as self-harm screening tool","shorttitle":"ARM 2022","author":[{"propositions":[],"lastnames":["Yang"],"firstnames":["Zhichao"],"suffixes":[]},{"propositions":[],"lastnames":["Hong"],"firstnames":["Yu"],"suffixes":[]}],"month":"June","year":"2022","note":"ARM2022","bibtex":"@inproceedings{yang_pretraining_2022,\n\taddress = {Washington DC USA},\n\ttitle = {Pretraining of {Patient} {Representations} {On} {Structured} {Electronic} {Health} {Records} for {Patient} {Outcome} {Prediction}: case study as self-harm screening tool},\n\tshorttitle = {{ARM} 2022},\n\tauthor = {Yang, Zhichao and Hong, Yu},\n\tmonth = jun,\n\tyear = {2022},\n\tnote = {ARM2022},\n}\n\n","author_short":["Yang, Z.","Hong, Y."],"key":"yang_pretraining_2022","id":"yang_pretraining_2022","bibbaseid":"yang-hong-pretrainingofpatientrepresentationsonstructuredelectronichealthrecordsforpatientoutcomepredictioncasestudyasselfharmscreeningtool-2022","role":"author","urls":{},"metadata":{"authorlinks":{}},"html":""},"bibtype":"inproceedings","biburl":"http://fenway.cs.uml.edu/papers/pubs-all.bib","dataSources":["TqaA9miSB65nRfS5H"],"keywords":[],"search_terms":["pretraining","patient","representations","structured","electronic","health","records","patient","outcome","prediction","case","study","self","harm","screening","tool","yang","hong"],"title":"Pretraining of Patient Representations On Structured Electronic Health Records for Patient Outcome Prediction: case study as self-harm screening tool","year":2022}