Ricardo Flores

Worcester Polytechnic Institute | WPI · Department of Data Science

Mental illnesses are often undiagnosed, highlighting the need for an effective alternative to traditional screening surveys. We propose our Early Mental Health Uncovering (EMU) framework that conducts rapid mental illness screening with active and passive modalities. We designed, deployed, and evaluated the EMU app to passively collect retrospectiv...

Depression is a common mental health disorder with large social and economic consequences. It can be costly and difficult to detect, traditionally requiring hours of assessment by a trained clinical. Recently, machine learning models have been trained to screen for depression with patient voice recordings collected during an interview with a virtua...

Mental illness screening instruments are increasingly being administered through online patient portals, making it vital to understand how the design of digital screening technologies could alter screening scores. Given the strong cross-cultural belief in the gender depression disparity, digital screening technologies are at particular risk of trig...

Depression is among the most prevalent mental health disorders with increasing prevalence worldwide. While early detection is critical for the prognosis of depression treatment, detecting depression is challenging. Previous deep learning research has thus begun to detect depression with the transcripts of clinical interview questions. Since approac...

The growing prevalence of depression and suicidal ideation among college students further exacerbated by the Coronavirus pandemic is alarming, highlighting the need for universal mental illness screening technology. With traditional screening questionnaires too burdensome to achieve universal screening in this population, data collected through mob...

The rates of mental illness, especially anxiety and depression, have increased greatly since the start of the COVID-19 pandemic. Traditional mental illness screening instruments are too cumbersome and biased to screen an entire population. In contrast, smartphone call and text logs passively capture communication patterns and thus represent a promi...

Stated preference approaches, such as contingent valuation, focus mainly on the estimation of the mean or median willingness to pay (WTP) for an environmental good. Nevertheless, these two welfare measures may not be appropriate when there are social and political concerns associated with implementing a payment for environmental services (PES) sche...