Full Text Journal Articles by
Author Ian Barnett

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Determining sample size and length of follow-up for smartphone-based digital phenotyping studies.

Ian Barnett, John Torous, Harrison T Reeder, Justin Baker, Jukka-Pekka Onnela,

OBJECTIVE:Studies that use patient smartphones to collect ecological momentary assessment and sensor data, an approach frequently referred to as digital phenotyping, have increased in popularity in recent years. There is a lack of formal guidelines for the design of new digital phenotyping studies so that they are powered to detect ... Read more >>

J Am Med Inform Assoc (Journal of the American Medical Informatics Association : JAMIA)
[2020, :]

Cited: 0 times

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Smartphone relapse prediction in serious mental illness: a pathway towards personalized preventive care.

John Torous, Tanzeem Choudhury, Ian Barnett, Matcheri Keshavan, John Kane,

World Psychiatry (World psychiatry : official journal of the World Psychiatric Association (WPA))
[2020, 19(3):308-309]

Cited: 0 times

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Inferring mobility measures from GPS traces with missing data.

Ian Barnett, Jukka-Pekka Onnela,

With increasing availability of smartphones with Global Positioning System (GPS) capabilities, large-scale studies relating individual-level mobility patterns to a wide variety of patient-centered outcomes, from mood disorders to surgical recovery, are becoming a reality. Similar past studies have been small in scale and have provided wearable GPS devices to subjects. ... Read more >>

Biostatistics (Biostatistics (Oxford, England))
[2020, 21(2):e98-e112]

Cited: 3 times

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Towards clinically actionable digital phenotyping targets in schizophrenia.

Philip Henson, Ian Barnett, Matcheri Keshavan, John Torous,

Digital phenotyping has potential to quantify the lived experience of mental illness and generate real-time, actionable results related to recovery, such as the case of social rhythms in individuals with bipolar disorder. However, passive data features for social rhythm clinical targets in individuals with schizophrenia have yet to be studied. ... Read more >>

NPJ Schizophr (NPJ schizophrenia)
[2020, 6(1):13]

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Ideas for how informaticians can get involved with COVID-19 research.

Jason H Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S Herman, Blanca E Himes, Rebecca A Hubbard, Dokyoon Kim, Jeffrey S Morris, Danielle L Mowery, Marylyn D Ritchie, Li Shen, Ryan Urbanowicz, John H Holmes,

The coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on population health and wellbeing. Biomedical informatics is central to COVID-19 research efforts and for the delivery of healthcare for COVID-19 patients. Critical to this effort is the participation of informaticians who typically work on other basic science or ... Read more >>

BioData Min (BioData mining)
[2020, 13:3]

Cited: 0 times

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768. Use of a Machine-Learning-based Prediction Model to Guide Antibiotic De-escalation in the Treatment of Urinary Tract Infections.

Jonathan Huggins, Keith W Hamilton, Ian Barnett,

AbstractBackgroundA patient-specific antibiogram (PS-ABG) issues personalized predicted antibiotic susceptibility results by incorporating patient factors into a prediction model. Predictions, reported as percent likelihood of susceptibility, are available to providers in real-time. In this study, we evaluated the performance characteristics of a PS-ABG based on a machine-learning algorithm in predicting susceptibility ... Read more >>

(Open forum infectious diseases)
[2019, 6(Suppl 2):S342-S342]

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EndNote: Feature-based classification of networks.

Ian Barnett, Nishant Malik, Marieke L Kuijjer, Peter J Mucha, Jukka-Pekka Onnela,

Network representations of systems from various scientific and societal domains are neither completely random nor fully regular, but instead appear to contain recurring structural features. These features tend to be shared by networks belonging to the same broad class, such as the class of social networks or the class of ... Read more >>

(Network science (Cambridge University Press))
[2019, 7(3):438-444]

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Psychiatry Outpatients' Willingness to Share Social Media Posts and Smartphone Data for Research and Clinical Purposes: Survey Study.

Agnes Rieger, Averi Gaines, Ian Barnett, Claudia Frances Baldassano, Mary Beth Connolly Gibbons, Paul Crits-Christoph,

BACKGROUND:Psychiatry research has begun to leverage data collected from patients' social media and smartphone use. However, information regarding the feasibility of utilizing such data in an outpatient setting and the acceptability of such data in research and practice is limited. OBJECTIVE:This study aimed at understanding the outpatients' willingness to have ... Read more >>

JMIR Form Res (JMIR formative research)
[2019, 3(3):e14329]

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Expanding, Augmenting, and Operationalizing Ethical and Regulatory Considerations for Using Social Media Platforms in Research and Health Care.

John Torous, Lyle Ungar, Ian Barnett,

Am J Bioeth (The American journal of bioethics : AJOB)
[2019, 19(6):4-6]

Cited: 0 times

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29.2 DIGITAL PHENOTYPING OF MICRO-COGNITIVE MEASURES (MCM) IN PATIENTS WITH SCHIZOPHRENIA.

John Torous, Hannah Wisniewski, Matcheri Keshavan, Gang Liu, Ian Barnett,

AbstractBackgroundCognitive deficits are core symptoms of psychotic disorders like schizophrenia, responsible for more functional impairment and disability than classical symptoms like auditory or visual hallucinations. Yet quickly quantifying cognition remains a challenge, and even brief assessments often requires at least 30 minutes. Because of the inability to easily assess cognition ... Read more >>

(Schizophrenia bulletin)
[2019, 45(Suppl 2):S136-S137]

Cited: 0 times

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Ethics, Transparency, and Public Health at the Intersection of Innovation and Facebook's Suicide Prevention Efforts.

Ian Barnett, John Torous,

Ann. Intern. Med. (Annals of internal medicine)
[2019, 170(8):565-566]

Cited: 3 times

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Digital Phenotyping in Patients with Spine Disease: A Novel Approach to Quantifying Mobility and Quality of Life.

David J Cote, Ian Barnett, Jukka-Pekka Onnela, Timothy R Smith,

OBJECTIVE:To identify trends in mobility and daily pain levels among a cohort of patients with clinically diagnosed spine disease. METHODS:Participants with spine disease were enrolled from a general neurosurgical clinic and installed a smartphone application (Beiwe) designed for digital phenotyping to their personal smartphone. This application collected passive meta-data on ... Read more >>

World Neurosurg (World neurosurgery)
[2019, 126:e241-e249]

Cited: 1 time

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Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data.

Ian Barnett, John Torous, Patrick Staples, Matcheri Keshavan, Jukka-Pekka Onnela,

Objectives:As smartphones and sensors become more prominently used in mobile health, the methods used to analyze the resulting data must also be carefully considered. The advantages of smartphone-based studies, including large quantities of temporally dense longitudinally captured data, must be matched with the appropriate statistical methods in order draw valid ... Read more >>

J Am Med Inform Assoc (Journal of the American Medical Informatics Association : JAMIA)
[2018, 25(12):1669-1674]

Cited: 5 times

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Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps.

John Torous, Mark E Larsen, Colin Depp, Theodore D Cosco, Ian Barnett, Matthew K Nock, Joe Firth,

PURPOSE OF REVIEW:As rates of suicide continue to rise, there is urgent need for innovative approaches to better understand, predict, and care for those at high risk of suicide. Numerous mobile and sensor technology solutions have already been proposed, are in development, or are already available today. This review seeks ... Read more >>

Curr Psychiatry Rep (Current psychiatry reports)
[2018, 20(7):51]

Cited: 12 times

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A crossroad for validating digital tools in schizophrenia and mental health.

John Torous, Patrick Staples, Ian Barnett, Jukka-Pekka Onnela, Matcheri Keshavan,

(NPJ schizophrenia)
[2018, 4(1):6]

Cited: 2 times

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Characterizing the clinical relevance of digital phenotyping data quality with applications to a cohort with schizophrenia.

John Torous, Patrick Staples, Ian Barnett, Luis R Sandoval, Matcheri Keshavan, Jukka-Pekka Onnela,

Digital phenotyping, or the moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices and smartphones, in particular, holds great potential for behavioral monitoring of patients. However, realizing the potential of digital phenotyping requires understanding of the smartphone as a scientific data collection tool. In ... Read more >>

(NPJ digital medicine)
[2018, 1:15]

Cited: 12 times

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QLIF-18. DIGITAL PHENOTYPING: A NOVEL METHOD FOR QUALITY OF LIFE ASSESSMENT IN PATIENTS WITH BRAIN TUMORS.

David Cote, Ian Barnett, Joeky Senders, Hassan Dawood, Patrick Staples, Lakshmi Nayak, J P Onnela, Timothy Smith,

AbstractINTRODUCTIONDigital phenotyping (DP) is a novel approach for moment-by-moment quantification of the individual-level human social and behavioral phenotype in-situ using data from personal digital devices. Here, we report the first application of DP in a population of patients with brain tumors.METHODSParticipants installed Beiwe, a smartphone application designed for DP, on ... Read more >>

Neuro-oncology (Neuro-oncology)
[2017, 19(Suppl 6):vi205-vi205]

Cited: 0 times

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Relapse prediction in schizophrenia through digital phenotyping: a pilot study.

Ian Barnett, John Torous, Patrick Staples, Luis Sandoval, Matcheri Keshavan, Jukka-Pekka Onnela,

Among individuals diagnosed, hospitalized, and treated for schizophrenia, up to 40% of those discharged may relapse within 1 year even with appropriate treatment. Passively collected smartphone behavioral data present a scalable and at present underutilized opportunity to monitor patients in order to identify possible warning signs of relapse. Seventeen patients ... Read more >>

Neuropsychopharmacology (Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology)
[2018, 43(8):1660-1666]

Cited: 28 times

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A comparison of passive and active estimates of sleep in a cohort with schizophrenia.

Patrick Staples, John Torous, Ian Barnett, Kenzie Carlson, Luis Sandoval, Matcheri Keshavan, Jukka-Pekka Onnela,

Sleep abnormalities are considered an important feature of schizophrenia, yet convenient and reliable sleep monitoring remains a challenge. Smartphones offer a novel solution to capture both self-reported and objective measures of sleep in schizophrenia. In this three-month observational study, 17 subjects with a diagnosis of schizophrenia currently in treatment downloaded ... Read more >>

(NPJ schizophrenia)
[2017, 3(1):37]

Cited: 9 times

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Comparison of 6 Injectable Anesthetic Regimens and Isoflurane in Gray Short-tailed Opossums (Monodelphis domestica).

Grace J Barnett, Ian J Barnett, Steven R Wilson, Peter C Smith,

Gray short-tailed opossums are used in a wide variety of research in the areas of developmental biology, oncology, immunology, and comparative biology. Despite many frequent experimental manipulations of these animals under anesthesia, few studies to date have characterized the effects of anesthesia in this species. Our aim was to identify ... Read more >>

J. Am. Assoc. Lab. Anim. Sci. (Journal of the American Association for Laboratory Animal Science : JAALAS)
[2017, 56(5):544-549]

Cited: 0 times

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M48. Digital Phenotyping in Schizophrenia Using Smartphones.

John Torous, Matcheri Keshavan, Jukka-Pekka Onnela, Patrick Staples, Ian Barnett,

Abstract The purpose of our study is to determine if self-reported symptom surveys and passive data (GPS, accelerometer, voice samples, call logs, text logs, and phone use data) collected from patients with schizophrenia in real time on their personal smartphone may be useful in predicting reoccurrence of psychotic symptoms. ... Read more >>

Schizophr Bull (Schizophrenia bulletin)
[2017, 43(Suppl 1):S228-S228]

Cited: 0 times

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The Generalized Higher Criticism for Testing SNP-Set Effects in Genetic Association Studies.

Ian Barnett, Rajarshi Mukherjee, Xihong Lin,

It is of substantial interest to study the effects of genes, genetic pathways, and networks on the risk of complex diseases. These genetic constructs each contain multiple SNPs, which are often correlated and function jointly, and might be large in number. However, only a sparse subset of SNPs in a ... Read more >>

J Am Stat Assoc (Journal of the American Statistical Association)
[2017, 112(517):64-76]

Cited: 9 times

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Analytic P-value calculation for the higher criticism test in finite d problems.

Ian J Barnett, Xihong Lin,

The higher criticism is effective for testing a joint null hypothesis against a sparse alternative, e.g., for testing the effect of a gene or a genetic pathway that consists of d genetic markers. Accurate p-value calculations for the higher criticism based on the asymptotic distribution require a very large d, ... Read more >>

Biometrika (Biometrika)
[2014, 101(4):964-970]

Cited: 5 times

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Change Point Detection in Correlation Networks.

Ian Barnett, Jukka-Pekka Onnela,

Many systems of interacting elements can be conceptualized as networks, where network nodes represent the elements and network ties represent interactions between the elements. In systems where the underlying network evolves, it is useful to determine the points in time where the network structure changes significantly as these may correspond ... Read more >>

Sci Rep (Scientific reports)
[2016, 6:18893]

Cited: 4 times

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Social and Spatial Clustering of People at Humanity's Largest Gathering.

Ian Barnett, Tarun Khanna, Jukka-Pekka Onnela,

Macroscopic behavior of scientific and societal systems results from the aggregation of microscopic behaviors of their constituent elements, but connecting the macroscopic with the microscopic in human behavior has traditionally been difficult. Manifestations of homophily, the notion that individuals tend to interact with others who resemble them, have been observed ... Read more >>

PLoS One (PloS one)
[2016, 11(6):e0156794]

Cited: 3 times

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