Source [[Article - Technology and Mental Health. State of the Art for Assessment and Treatment]] - "Relapse of psychotic disorders has been predicted by geolocation mobility metrics and text/call behavior (90)." ^86d66f - 90 - Barnett I, Onnela JP: Inferring mobility measures from GPS traces with missing data. Biostatistics 2020; 21:e98–e112 [[DP - Geolocation]] [[DP - Text Messages]] [[DP - Phone calls]] - [[Digital Phenotype Signals associated with Anxiety]] - [[Digital Phenotype Signals associated with Depression]] - [[Digital Phenotype Signals associated with Bipolar Disorder]] [[DP - Missing Data]] [[Sociability]] # [[Negative Symptoms]] - "Negative symptoms of schizophrenia measured via EMA or clinical ratings have been predicted by geolocation-based mobility metrics, voice activity, and actigraphy-based metrics of gesture and activity level (99, 107–110)." - 99 - Adler DA, Ben-Zeev D, Tseng VWS, et al: Predicting early warning signs of psychotic relapse from passive sensing data: an approach using encoder-decoder neural networks. JMIR Mhealth Uhealth 2020; 8:e19962 - 107 - Parrish EM, Depp CA, Moore RC, et al: Emotional determinants of life-space through GPS and ecological momentary assessment in schizophrenia: what gets people out of the house? Schizophr Res 2020; 224:67–73 - 108 - Depp CA, Bashem J, Moore RC, et al: GPS mobility as a digital biomarker of negative symptoms in schizophrenia: a case control study. NPJ Digit Med 2019; 2:108 - 109 Umbricht D, Cheng WY, Lipsmeier F, et al: Deep learning–based human activity recognition for continuous activity and gesture monitoring for schizophrenia patients with negative symptoms. Front Psychiatry 2020; 11:574375 - 110 - Wee ZY, Yong SWL, Chew QH, et al: Actigraphy studies and clinical and biobehavioural correlates in schizophrenia: a sys- tematic review. J Neural Transm (Vienna) 2019; 126:531–558 [[DP - Speech]] [[DP - Accelerometry]] - "Raugh et al. (111) found that the combination of geolocation and EMA surveys was a stronger predictor of clinically rated negative symptoms in schizophrenia than either measure alone." - 111- Raugh IM, James SH, Gonzalez CM, et al: Geolocation as a digital phenotyping measure of negative symptoms and functional out- come. Schizophr Bull 2020; 46:1596–1607