Showing 46-50 of 252 resources:
Machine learning model accurately estimates PHQ-9 scores from clinical notes

Healio June 09, 2023 Robert Herpen Read the full article>>  Key takeaways: A machine learning model processed data from more than 32,000 records, 96,000 encounters of those with MDD. Application of the model created an exponential amount of PHQ-9 scores and patient records. MIAMI BEACH, Fla. — A novel machine learning model accurately estimated scores[…]

Understanding How Data Analytics Help Improve Health Outcomes With Stefan Weiss, MD

Dermatology Times Jun 6, 2023 Stefan Weiss, MD, MHSc, MBA Kaitlyn Bader, Senior Editor Watch the video >> OM1 is a large-scale data analytics company with a dedication to improving health outcomes through targeted research. Dermatology Times® recently spoke with Stefan Weiss, MD, MHSc, MBA, a board-certified dermatologist and the managing director of dermatology at OM1, to discuss the[…]

Improving Patient Outcomes: AI-Based Phenotyping for Diagnosis, Treatment, and Clinical Trials

Register to watch>> Join a panel of OM1’s clinical experts in cardiometabolic disease, immunology, and mental health as they explore how Artificial Intelligence (AI) can find phenotypic patterns and unlock insights hidden in real-world data. Extracting as much information as possible from real-world datasets is essential for understanding the complete patient journey. Subtle patterns in[…]

“I Know It When I See It”: Definitions of Treatment-Resistant Depression

Psychiatric Times May 25, 2023 Leah Kuntz Read the full article>> Presenters at the 2023 APA Annual Meeting compared definitions of treatment-resistant depression. CONFERENCE REPORTER “In 1964, Supreme Court Justice Potter Stewart was asked for his test for obscenity and his response famously was, ‘I know when I see it.’ In the real world and[…]

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