Search Results - "Mohr, C."

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  1. 1

    Supportive accountability: a model for providing human support to enhance adherence to eHealth interventions by Mohr, David C, Cuijpers, Pim, Lehman, Kenneth

    Published in Journal of medical Internet research (10-03-2011)
    “…The effectiveness of and adherence to eHealth interventions is enhanced by human support. However, human support has largely not been manualized and has…”
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    A systematic review and meta-analysis of the long-term overall outcome of autism spectrum disorders in adolescence and adulthood by Steinhausen, H. -C., Mohr Jensen, C., Lauritsen, M. B.

    Published in Acta psychiatrica Scandinavica (01-06-2016)
    “…Objective A systematic review and meta‐analysis of studies reporting on the overall outcome in terms of a global measure of adjustment in children with…”
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    Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia by BEN-ZEEV, Dror, BRENNER, Christopher J, BEGALE, Mark, DUFFECY, Jennifer, MOHR, David C, MUESER, Kim T

    Published in Schizophrenia bulletin (01-11-2014)
    “…The FOCUS smartphone intervention was developed to provide automated real-time/real-place illness management support to individuals with schizophrenia. The…”
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    Self-guided psychological treatment for depressive symptoms: a meta-analysis by Cuijpers, Pim, Donker, Tara, Johansson, Robert, Mohr, David C, van Straten, Annemieke, Andersson, Gerhard

    Published in PloS one (21-06-2011)
    “…A number of trials have examined the effects of self-guided psychological intervention, without any contact between the participants and a therapist or coach…”
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    Comparison of psychotherapies for adult depression to pill placebo control groups: a meta-analysis by Cuijpers, P, Turner, E H, Mohr, D C, Hofmann, S G, Andersson, G, Berking, M, Coyne, J

    Published in Psychological medicine (01-03-2014)
    “…The effects of antidepressants for treating depressive disorders have been overestimated because of selective publication of positive trials. Reanalyses that…”
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    Behavioral Intervention Technologies: Evidence review and recommendations for future research in mental health by Mohr, David C., Ph.D, Burns, Michelle Nicole, Ph.D, Schueller, Stephen M., Ph.D, Clarke, Gregory, Ph.D, Klinkman, Michael, M.D., M.S

    Published in General hospital psychiatry (01-07-2013)
    “…Abstract Objective A technical expert panel convened by the Agency for Healthcare Research and Quality and the National Institute of Mental Health was charged…”
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    A randomized controlled trial evaluating a manualized TeleCoaching protocol for improving adherence to a web-based intervention for the treatment of depression by Mohr, David C, Duffecy, Jenna, Ho, Joyce, Kwasny, Mary, Cai, Xuan, Burns, Michelle Nicole, Begale, Mark

    Published in PloS one (21-08-2013)
    “…Web-based interventions for depression that are supported by coaching have generally produced larger effect-sizes, relative to standalone web-based…”
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    Neural processing of risk by Mohr, Peter N C, Biele, Guido, Heekeren, Hauke R

    Published in The Journal of neuroscience (12-05-2010)
    “…In our everyday life, we often have to make decisions with risky consequences, such as choosing a restaurant for dinner or choosing a form of retirement…”
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    The need to approximate the use-case in clinical machine learning by Saeb, Sohrab, Lonini, Luca, Jayaraman, Arun, Mohr, David C, Kording, Konrad P

    Published in Gigascience (01-05-2017)
    “…The availability of smartphone and wearable sensor technology is leading to a rapid accumulation of human subject data, and machine learning is emerging as a…”
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    Relationship Between Sleep Quality and Mood: Ecological Momentary Assessment Study by Triantafillou, Sofia, Saeb, Sohrab, Lattie, Emily G, Mohr, David C, Kording, Konrad Paul

    Published in JMIR mental health (27-03-2019)
    “…Sleep disturbances play an important role in everyday affect and vice versa. However, the causal day-to-day interaction between sleep and mood has not been…”
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    The relationship between mobile phone location sensor data and depressive symptom severity by Saeb, Sohrab, Lattie, Emily G, Schueller, Stephen M, Kording, Konrad P, Mohr, David C

    Published in PeerJ (San Francisco, CA) (29-09-2016)
    “…Smartphones offer the hope that depression can be detected using passively collected data from the phone sensors. The aim of this study was to replicate and…”
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    Identification and quantification of organic aerosol from cooking and other sources in Barcelona using aerosol mass spectrometer data by Mohr, C, DeCarlo, P. F, Heringa, M. F, Chirico, R, Slowik, J. G, Richter, R, Reche, C, Alastuey, A, Querol, X, Seco, R, Peñuelas, J, Jiménez, J. L, Crippa, M, Zimmermann, R, Baltensperger, U, Prévôt, A. S. H

    Published in Atmospheric chemistry and physics (15-02-2012)
    “…PM1 (particulate matter with an aerodynamic diameter <1 μm) non-refractory components and black carbon were measured continuously together with additional air…”
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    Molecular Composition and Volatility of Organic Aerosol in the Southeastern U.S.: Implications for IEPOX Derived SOA by Lopez-Hilfiker, F. D, Mohr, C, D’Ambro, E. L, Lutz, A, Riedel, T. P, Gaston, C. J, Iyer, S, Zhang, Z, Gold, A, Surratt, J. D, Lee, B. H, Kurten, T, Hu, W.W, Jimenez, J, Hallquist, M, Thornton, J. A

    Published in Environmental science & technology (01-03-2016)
    “…We present measurements as part of the Southern Oxidant and Aerosol Study (SOAS) during which atmospheric aerosol particles were comprehensively characterized…”
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    Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies by Adler, Daniel A, Wang, Fei, Mohr, David C, Choudhury, Tanzeem

    Published in PloS one (27-04-2022)
    “…Mobile sensing data processed using machine learning models can passively and remotely assess mental health symptoms from the context of patients' lives. Prior…”
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    A novel method for online analysis of gas and particle composition: description and evaluation of a Filter Inlet for Gases and AEROsols (FIGAERO) by Lopez-Hilfiker, F. D, Mohr, C, Ehn, M, Rubach, F, Kleist, E, Wildt, J, Mentel, Th. F, Lutz, A, Hallquist, M, Worsnop, D, Thornton, J. A

    Published in Atmospheric measurement techniques (15-04-2014)
    “…We describe a novel inlet that allows measurement of both gas and particle molecular composition when coupled to mass spectrometric, chromatographic, or…”
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    Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data by Moshe, Isaac, Terhorst, Yannik, Opoku Asare, Kennedy, Sander, Lasse Bosse, Ferreira, Denzil, Baumeister, Harald, Mohr, David C, Pulkki-Råback, Laura

    Published in Frontiers in psychiatry (28-01-2021)
    “…Depression and anxiety are leading causes of disability worldwide but often remain undetected and untreated. Smartphone and wearable devices may offer a unique…”
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    Fibreoptic vs videolaryngoscopic (C-MAC(®) D-BLADE) nasal awake intubation under local anaesthesia by Kramer, A, Müller, D, Pförtner, R, Mohr, C, Groeben, H

    Published in Anaesthesia (01-04-2015)
    “…Numerous indirect laryngoscopes have been introduced into clinical practice and their use for tracheal intubation under local anaesthesia has been described…”
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