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Activity Number:
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280
- Application of Machine Learning in Clinical Development
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Type:
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Topic-Contributed
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Date/Time:
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Wednesday, August 11, 2021 : 1:30 PM to 3:20 PM
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Sponsor:
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Biopharmaceutical Section
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Abstract #317290
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Title:
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Automatic Disease Screening of Borderline Personality Disorder Using Electronic Health Records (EHR)
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Author(s):
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Nan Shao* and Marianne Goodman and Chengxi Zang and Zheng Zhu and Zsuzsanna Tamas and Rachel Ovens and Agnes Koczon-Jaremko and Vikas_Mohan Sharma
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Companies:
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Boehringer Ingelheim Pharmaceuticals, Inc. and Icahn School of Medicine at Mount Sinai; James J Peters VA Medical Center and Weill Cornell Medicine, Cornell University and Boehringer Ingelheim Pharmaceuticals, Inc. and Boehringer Ingelheim and Boehringer Ingelheim and Boehringer Ingelheim and Boehringer Ingelheim
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Keywords:
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Disease screening;
Machine learning;
clinical development;
borderline personality disorder;
electronic health records
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Abstract:
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Borderline personality disorder (BoPD) is one of the most common personality disorders marked by an ongoing pattern of varying moods, self-image, and behavioral issues. BoPD is often under and misdiagnosed. We have developed a machine-learning algorithm to automatically screen likely BoPD patients who are currently not formally diagnosed with BoPD, using electronic health record (EHR) data. It is an assistance to real world clinical decision making. Potential benefits include reduction of the duration of time-to-diagnosis for patients through timely screening of the disease, and potential enhancement of clinical trial recruitment in the pre-screening step.
In this talk, we will discuss both methodology details and real life implementation models.
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Authors who are presenting talks have a * after their name.
