Bluesky Facebook Reddit Email

Predicting diagnostic progression to schizophrenia or bipolar disorder via machine learning

02.19.25 | JAMA Network

Apple iPhone 17 Pro

Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.

About The Study: The findings of this study suggest that it is possible to predict diagnostic transition to schizophrenia and bipolar disorder from routine clinical data extracted from electronic health records, with schizophrenia being notably easier to predict than bipolar disorder.

Corresponding Author: To contact the corresponding author, Lasse Hansen, MSc, PhD, email lasse.hansen@clin.au.dk .

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(10.1001/jamapsychiatry.2024.4702)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

# # #

Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time https://jamanetwork.com/journals/jamapsychiatry/fullarticle/10.1001/jamapsychiatry.2024.4702?guestAccessKey=68d274bd-472b-49e6-b373-0619d6971459&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=021925

JAMA Psychiatry

Keywords

Article Information

Contact Information

JAMA Network Media Relations
JAMA Network
mediarelations@jamanetwork.org

How to Cite This Article

APA:
JAMA Network. (2025, February 19). Predicting diagnostic progression to schizophrenia or bipolar disorder via machine learning. Brightsurf News. https://www.brightsurf.com/news/12DP4EO1/predicting-diagnostic-progression-to-schizophrenia-or-bipolar-disorder-via-machine-learning.html
MLA:
"Predicting diagnostic progression to schizophrenia or bipolar disorder via machine learning." Brightsurf News, Feb. 19 2025, https://www.brightsurf.com/news/12DP4EO1/predicting-diagnostic-progression-to-schizophrenia-or-bipolar-disorder-via-machine-learning.html.