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Meehl PE . Clinical Versus Statistical Prediction: A Theoretical Analysis And A Review Of The Evidence. University of Minnesota Press: Minneapolis, MN, USA; 1954, pp 83–128.
Bernard C . Principes de médecine expérimentale 1947.
Simon GE, Perlis RH . Personalized medicine for depression: can we match patients with treatments? Am J Psychiatry 2010; 167: 1445–1455.
Schnack HG, Kahn RS . Detecting neuroimaging biomarkers for psychiatric disorders: sample size matters. Front Psychiatry 2016; 7: 50.
Paulus MP, Huys QJM, Maia TV . A roadmap for the development of applied computational psychiatry. Biol Psychiatry Cogn Neurosci Neuroimaging 2016; 1: 386–392.
Paulus MP . Evidenced-based pragmatic psychiatry—a call to action. JAMA Psychiatry 2017.
Chekroud AM . Bigger Data, Harder Questions — Opportunities Throughout Mental Health Care. JAMA Psychiatry 2017.
Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L . Detecting influenza epidemics using search engine query data. Nature 2009; 457: 1012–1014.
Lazer D, Kennedy R, King G, Vespignani A . The parable of Google flu: traps in big data analysis. Science 2014; 343: 1203–1205.
Ioannidis JPA . Why most clinical research is not useful. PLoS Med 2016; 13: 1–10.
Chekroud AM, Zotti RJ, Shehzad Z, Gueorguieva R, Johnson MK, Trivedi MH et al. Cross-trial prediction of treatment outcome in depression: a machine learning approach. Lancet Psychiatry 2016; 3: 243–50.
Chekroud AM, Gueorguieva R, Krumholz HM, Trivedi MH, Krystal JH, McCarthy G . Reevaluating the efficacy and predictability of antidepressant treatments. JAMA Psychiatry 2017; 74: 370–378.
Koutsouleris N, Kahn RS, Chekroud AM, Leucht S, Falkai P, Wobrock T et al. Multisite prediction of 4-week and 52-week treatment outcomes in patients with first-episode psychosis: a machine learning approach. Lancet Psychiatry 2016; 25: 25.
Vanhaudenhuyse A, Noirhomme Q, Tshibanda LJF, Bruno MA, Boveroux P, Schnakers C et al. Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients. Brain 2010; 133: 161–171.
Torous J, Baker JT . Why Psychiatry Needs Data Science and Data Science Needs Psychiatry. JAMA Psychiatry 2016; 73: 3–4.
Billings J, Dixon J, Mijanovich T, Wennberg D . Case finding for patients at risk of readmission to hospital: development of algorithm to identify high risk patients. BMJ 2006; 333: 327.
Wang PS, Simon GE, Avorn J, Azocar F, Ludman EJ, McCulloch J et al. Telephone screening, outreach, and care management for depressed workers and impact on clinical and work productivity outcomes: a randomized controlled trial. JAMA 2007; 298: 1401–1411.
The authors thank Drs Monica Rosenberg, Martin Paulus and John Krystal for thoughtful comments and discussions.
AMC holds equity in Spring Care Inc., a behavioral health startup. He received salary from Spring Care Inc. and Yale University. He is lead inventor on two patent submissions relating to treatment for major depressive disorder ((a) USPTO docket number Y0087.70116US00, and (b) USPTO. Provisional Appl. No. 62/491,660). He has consulted for Fortress Biotech on antidepressant drug development. NK has received paid speakerships from Otsuka/Lundbeck, and holds a patent relating to psychosis risk prediction (USPTO Appl. No. 14/910588).
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Chekroud, A., Koutsouleris, N. The perilous path from publication to practice. Mol Psychiatry 23, 24–25 (2018). https://doi.org/10.1038/mp.2017.227
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