• Predicting pain among female survivors of recent interpersonal violence: A proof-of-concept machine-learning approach 

      Lannon, Edward; Sanchez-Saez, Francisco ; Bailey, Brooklynn; Hellman, Natalie; Kinney, Kerry; Williams, Amber; Nag, Subodh; Kutcher, Matthew E.; Goodin, Burel R; Rao, Uma; Morris, Matthew C. (Public Library of Science, 2021)
      Interpersonal violence (IPV) is highly prevalent in the United States and is a major public health problem. The emergence and/or worsening of chronic pain are known sequelae of IPV; however, not all those who experience ...
    • Predicting Posttraumatic Stress Disorder Among Survivors of Recent Interpersonal Violence 

      Morris, Matthew C.; Sanchez-Saez, Francisco; Bailey, Brooklynn; Hellman, Natalie; Williams, Amber; Schumacher, Julie A.; Rao, Uma (SAGE Journals, 2022)
      A substantial minority of women who experience interpersonal violence will develop posttraumatic stress disorder (PTSD). One critical challenge for preventing PTSD is predicting whose acute posttraumatic stress symptoms ...