- For any questions, please contact Wei-Hung Weng (ckbjimmy {AT} mit {DOT} edu)
- Latest update: Oct 01, 2020
- Most content can be updated via the
.mdfiles in the2019_docsfolder except for thenewsin theindex.html. - Please copy the files into
/afs/csail.mit.edu/group/medg/www/datato display the website under the CSAIL domain.
- Create your own
.bibfile in the folder2019_bib, then add<bibtex src="2019_bib/[YOUR_BIB_NAME].bib"></bibtex>in the<head>of2019_publications.html. Just need to do this once. - The easiest way to get your full bib data is exporting them from Google Scholar. However, you may want to reassure that Google Scholar includes the papers you want to display, and exclude those papers Google Scholar has errorneously included.
- For the bib entry, please add
pmid,pmcid,urlif possible. The code will parse these attributes and display them on the website. - If you wish, you may also add the
tagsattribute. The strings in thetagscan be searched as a filter. - The easiest way to get all of your publications is to export the bibtex file from Google Scholar. However, please remember to exclude the publications not belong to you (GScholar sometimes did this incorrectly). You may manually add the
pmid,pmc,url,tagsafter exporting the bibtex file. - Please do not include punctuations such as
:or=or+or else in the bibentry. It will result in the problem of displaying the paper/bib. - An example of the above attrubites:
@article{weng2017medical,
title={Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach},
author={Weng, Wei-Hung and Wagholikar, Kavishwar B and McCray, Alexa T and Szolovits, Peter and Chueh, Henry C},
journal={BMC medical informatics and decision making},
volume={17},
number={1},
pages={155},
year={2017},
publisher={BioMed Central},
pmid={29191207},
pmc={PMC5709846},
url={https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-017-0556-8},
tags={machine learning, NLP, classification, ontology}
}
- For the thesis entry (
MEDG-theses.bib), it would be better to include the following attributes as they will be used and displayed:
@phdthesis{Ghassemi2017hq,
Address = {Cambridge, MA},
Author = {Ghassemi, Marzyeh},
Department = {EECS},
Month = {Jun},
Reader = {Guttag, John and Celi, Leo Anthony G},
School = {MIT},
Supervisor = {Szolovits, Peter},
Title = {Representation Learning in Multi-dimensional Clinical Timeseries for Risk and Event Prediction},
Type = {PhD Thesis},
Url = {https://dspace.mit.edu/handle/1721.1/112389},
Year = {2017}
}
- The bibtex parser is inherited and modified from
https://github.com/pcooksey/bibtex-js.