|Network-based marketing: Identifying likely adopters via consumer networks|
S Hill, F Provost, C Volinsky
Statistical Science 21 (2), 256-276, 2006
|Crowdsourcing—harnessing the masses to advance health and medicine, a systematic review|
BL Ranard, YP Ha, ZF Meisel, DA Asch, SS Hill, LB Becker, AK Seymour, ...
Journal of general internal medicine 29 (1), 187-203, 2014
|Toward intelligent assistance for a data mining process: An ontology-based approach for cost-sensitive classification|
A Bernstein, F Provost, S Hill
IEEE Transactions on knowledge and data engineering 17 (4), 503-518, 2005
|Identifying potential adverse effects using the web: a new approach to medical hypothesis generation|
A Benton, L Ungar, S Hill, S Hennessy, J Mao, A Chung, CE Leonard, ...
Journal of biomedical informatics 44 (6), 989-996, 2011
|Use of social media across US hospitals: descriptive analysis of adoption and utilization|
HM Griffis, AS Kilaru, RM Werner, DA Asch, JC Hershey, S Hill, YP Ha, ...
Journal of medical internet research 16 (11), e264, 2014
|The myth of the double-blind review? Author identification using only citations|
S Hill, F Provost
Acm Sigkdd Explorations Newsletter 5 (2), 179-184, 2003
|Mining road traffic accident data to improve safety: role of road-related factors on accident severity in Ethiopia|
T Beshah, S Hill
2010 AAAI Spring symposium series, 2010
|Decoding twitter: Surveillance and trends for cardiac arrest and resuscitation communication|
JC Bosley, NW Zhao, S Hill, FS Shofer, DA Asch, LB Becker, ...
|Online discussion of drug side effects and discontinuation among breast cancer survivors|
JJ Mao, A Chung, A Benton, S Hill, L Ungar, CE Leonard, S Hennessy, ...
Pharmacoepidemiology and drug safety 22 (3), 256-262, 2013
|Expert stock picker: the wisdom of (experts in) crowds|
S Hill, N Ready-Campbell
International Journal of Electronic Commerce 15 (3), 73-102, 2011
|Building an effective representation for dynamic networks|
S Hill, DK Agarwal, R Bell, C Volinsky
Journal of Computational and Graphical Statistics 15 (3), 584-608, 2006
|Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department|
KA Padrez, L Ungar, HA Schwartz, RJ Smith, S Hill, T Antanavicius, ...
BMJ quality & safety 25 (6), 414-423, 2016
|A crowdsourcing innovation challenge to locate and map automated external defibrillators|
RM Merchant, DA Asch, JC Hershey, HM Griffis, S Hill, O Saynisch, ...
Circulation: Cardiovascular Quality and Outcomes 6 (2), 229-236, 2013
|Evaluating the predictability of medical conditions from social media posts|
RM Merchant, DA Asch, P Crutchley, LH Ungar, SC Guntuku, ...
PloS one 14 (6), e0215476, 2019
|Discovering knowledge from relational data extracted from business news|
A Bernstein, S Clearwater, S Hill, C Perlich, F Provost
NYU Working Paper, 2002
|Using Twitter to measure public discussion of diseases: a case study|
C Weeg, HA Schwartz, S Hill, RM Merchant, C Arango, L Ungar
JMIR public health and surveillance 1 (1), e3953, 2015
|Lessons learned about public health from online crowd surveillance|
S Hill, R Merchant, L Ungar
Big Data 1 (3), 160-167, 2013
|EHR in emergency rooms: exploring the effect of key information components on main complaints|
O Ben-Assuli, I Shabtai, M Leshno, S Hill
Journal of medical systems 38 (4), 1-8, 2014
|Where are lifesaving automated external defibrillators located and how hard is it to find them in a large urban city?|
AC Leung, DA Asch, KN Lozada, OB Saynisch, JM Asch, N Becker, ...
Resuscitation 84 (7), 910-914, 2013
|Using satellite images for drought monitoring: a knowledge discovery approach|
G Berhan, S Hill, T Tadesse, S Atnafu
Journal of Strategic Innovation and Sustainability 7 (1), 135-153, 2011