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Your search keyword '"Millner, Alexander J."' showing total 225 results

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1. Building personalized machine learning models using real-time monitoring data to predict idiographic suicidal thoughts

8. Suicide decision‐making: Differences in proximal considerations between individuals who aborted and attempted suicide.

12. Ethical dilemmas posed by mobile health and machine learning in psychiatry research/Les dilemmes ethiques poses par la sante mobile et l'apprentissage automatique dans la recherche en psychiatrie/Los dilemas eticos planteados por la salud movil y el aprendizaje automatico dentro de la investigacion en psiquiatria

16. Do people know how suicidal they will be? Understanding suicidal prospection.

21. Intervening on High-Risk Responses During Ecological Momentary Assessment of Suicidal Thoughts: Is There an Effect on Study Data?

22. Suicidal thinking as affect regulation.

31. Consensus Statement on Ethical & Safety Practices for Conducting Digital Monitoring Studies with People at Risk of Suicide and Related Behaviors

32. The classification of suicide gestures: Examining the validity, measurement, and level of intent of a controversial construct.

34. Prediction of Suicide Attempts Using Clinician Assessment, Patient Self-report, and Electronic Health Records

36. sj-pdf-1-cpx-10.1177_2167702620961067 – Supplemental material for Machine Learning to Classify Suicidal Thoughts and Behaviors: Implementation Within the Common Data Elements Used by the Military Suicide Research Consortium

37. sj-pdf-1-cpx-10.1177_2167702621993857 – Supplemental material for Increase in Suicidal Thinking During COVID-19

38. sj-pdf-1-cpx-10.1177_2167702620954216 – Supplemental material for Evidence of Inflated Prediction Performance: A Commentary on Machine Learning and Suicide Research

41. Increase in Suicidal Thinking During COVID-19

45. Suicide Risk--Model

47. Consensus Statement on Ethical & Safety Practices for Conducting Digital Monitoring Studies with People at Risk of Suicide and Related Behaviors

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