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Facebook language predicts depression in medical records
- J. Eichstaedt, Robert J. Smith, H. A. Schwartz
- PsychologyProceedings of the National Academy of Sciences
- 15 October 2018
It is shown that the content shared by consenting users on Facebook can predict a future occurrence of depression in their medical records, and language predictive of depression includes references to typical symptoms, including sadness, loneliness, hostility, rumination, and increased self-reference.
Yelp Reviews Of Hospital Care Can Supplement And Inform Traditional Surveys Of The Patient Experience Of Care.
The large collection of patient- and caregiver-centered experiences found on Yelp can be analyzed with natural language processing methods, identifying for policy makers the measures of hospital quality that matter most to patients and caregivers.
A spatial analysis of human-elephant conflict in the Tsavo ecosystem, Kenya
Eventually, you will no question discover a new experience and finishing by spending more cash. still when? reach you take on that you require to get those every needs when having significantly cash?…
Evolutionary Dynamics of Complex Networks of HIV Drug-Resistant Strains: The Case of San Francisco
With this model, the evolutionary history of ARV resistance in San Francisco is traced and the key immunologic, virologic, and treatment factors that increase ARVs resistance are identified by using classification and regression trees.
WHEN ZOMBIES ATTACK!: MATHEMATICAL MODELLING OF AN OUTBREAK OF ZOMBIE INFECTION
It is shown that only quick, aggressive attacks can stave off the doomsday scenario: the collapse of society as zombies overtake us all.
Explicitly accounting for antiretroviral drug uptake in theoretical HIV models predicts long-term failure of protease-only therapy.
- Robert J. Smith
- BiologyJournal of theoretical biology
- 21 March 2008
Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department
Many patients are willing to share and link their social media data with EMR data and a database that merges social media with E MR data has the potential to provide insights about individuals’ health and health outcomes.
The impact of media coverage on the transmission dynamics of human influenza
- J. Tchuenche, Nothabo Dube, C. Bhunu, Robert J. Smith, C. Bauch
- MedicineBMC public health
- 25 February 2011
A deterministic transmission and vaccination model is formulated to investigate the effects of media coverage on the transmission dynamics of influenza and shows that the media can trigger a vaccinating panic if the vaccine is imperfect and simplified messages result in the vaccinated mixing with the infectives without regard to disease risk.
The Impact of Implicit Racial Bias on the Exercise of Prosecutorial Discretion
The disproportionate incarceration of minorities is one of the American criminal justice system’s most established problems. In spite of a societal backdrop in which descriptive claims of a…
A mathematical model of avian influenza with half-saturated incidence
A mathematical model of avian influenza for both bird and human populations is developed and it is shown that by decreasing the rate βm at which human-to-human mutant influenza is contracted, an outbreak can be controlled more effectively.