Currently Viewing:
American Psychiatric Association 2019 Annual Meeting
Dr David Kingdon on the Principles Underlying the Use of CBT in Psychosis
May 19, 2019
Dr Jonathan Avery on the Dangers of Misdiagnosing or Mistreating Concurrent Psychiatric and Substance Use Disorders
May 19, 2019
Studies Reveal Loneliness, Trauma Effects Among Minority Urban Women
May 20, 2019
Hochschild Gives Psychiatrists a View of Bridging the Political Chasm
May 20, 2019
Dr Lori Raney Outlines the Advantages and Limitations of Treating Mental Health Disorders in Primary Care Settings
May 20, 2019
Dr Steven Adelsheim Discusses Changing Stigmas Around Mental Illness in Young People
May 20, 2019
Dr Jacob Ballon: Coordinated Teams, Collaboration Are Key to Supporting People With Psychosis
May 21, 2019
TRANSFORM-2 Results on Esketamine Published, Along With Caveats
May 21, 2019
Poll Finds Most Workers Can Get Mental Health Care, but a Third Worry About Seeking It
May 21, 2019
Adam Simmons on Patient Preferences When Taking Antipsychotic Medications
May 21, 2019
Alkermes' Novel Schizophrenia Drug Shows Less Weight Gain, Addressing Top Patient Complaint
May 21, 2019
Where Culture and Science Collide: How Ethnic, Social Factors Affect Response to Psychotropic Drugs
May 22, 2019
Dr Godfrey Pearlson on the Merits of Using Biological Measures to Classify Psychiatric Diseases
May 23, 2019
Dr Isaac Galatzer-Levy Explains How a Predictive Algorithm Uses Machine Learning to Predict PTSD Risk
May 23, 2019
Dr King Davis Explains the Privacy Dangers of Digitizing Archives, Including Psychiatric Records
May 24, 2019
Dr David Kingdon Discusses How CBT Techniques Tailored to Psychosis Can Help Patients Feel Understood
May 30, 2019
Dr Jonathan Avery Discusses Causes and Consequences of Concurrent Mental Illness and Substance Use Disorders
May 31, 2019
Adam Simmons Outlines Efficacy of ALKS 3831 Across Subgroups of Patients With Schizophrenia
June 11, 2019
Dr Lori Raney Defines Integrated, Collaborative Care for Behavioral Health
June 13, 2019
Dr David Kingdon Describes How CBT Can Fit Into a Psychosis Treatment Plan
June 17, 2019
Dr Steven Adelsheim Discusses the Importance of Early Diagnosis for Young People With Psychosis
June 20, 2019
Currently Reading
Dr Isaac Galatzer-Levy Explains the Importance of Accurately Predicting PTSD After a Traumatic Event
June 22, 2019
Dr David Kingdon on the Factors Predicting CBT Success in Psychosis
June 25, 2019
Adam Simmons Explains the Importance of Finding New Treatment Options for Schizophrenia
June 29, 2019

Dr Isaac Galatzer-Levy Explains the Importance of Accurately Predicting PTSD After a Traumatic Event

Machine learning algorithms can help clinicians understand risk factors for posttraumatic stress disorder (PTSD) and match them to appropriate individualized treatments, according to Isaac Galatzer-Levy, PhD, assistant professor in psychiatry and bioinformatics, NYU School of Medicine, and vice president of clinical and computational neuroscience, AiCure.


Machine learning algorithms can help clinicians understand risk factors for posttraumatic stress disorder (PTSD) and match them to appropriate individualized treatments, according to Isaac Galatzer-Levy, PhD, assistant professor in psychiatry and bioinformatics, NYU School of Medicine, and vice president of clinical and computational neuroscience, AiCure.

Transcript

How can machine learning help forecast the course and trajectory of PTSD or depression?

The causes of PTSD and depression are very heterogeneous, vary between individuals, so you need an algorithm that’s able to accommodate a lot of information and really fit what we call an individualized predictive model. So we need to be able to take in a lot of information to understand what are the unique risk factors that lead to varied outcomes. If we do take that kind of approach, we can then start to match treatments to those risk factors to have a really individualized treatment model for the prevention of posttraumatic stress responses.

Why is it important to accurately predict PTSD in the immediate aftermath of a traumatic event?

It’s very important because the vast majority of people, even in the first world, will be exposed to a life-threatening event across their life course. The epidemiological literature showed roughly 90% of us will be exposed to some sort of event that can cause PTSD or depression, but only 10% will develop the disorder. So if you think of contexts like the emergency room, where large numbers of people come through, or the battlefield, where large numbers of people are exposed to potentially traumatic events, or even post terrorist attack events, it’s very hard to know who needs the resources and what would help them. So if you have algorithms to detect people at risk, you can much more efficiently give resources to those who are most in need.

There’s a large literature showing that if you intervene with people who don’t need help, who are going to be resilient, you can actually increase the probability of them developing PTSD. So to have effective treatment, you really have to know who needs the treatment, you need methods to identify those at risk, and you need methods to identify what are the risk factors that are driving that individual to develop the disorder.

 
Copyright AJMC 2006-2019 Clinical Care Targeted Communications Group, LLC. All Rights Reserved.
x
Welcome the the new and improved AJMC.com, the premier managed market network. Tell us about yourself so that we can serve you better.
Sign Up