We are pleased to announce the results of the predictive analytics competition hosted by the AACC Data Analytics Steering Committee and the Pathology Informatics Section of Washington University in St. Louis.
\nTwenty-four different teams submitted solutions to the Predict the PTHrP Result challenge. The accuracy of these models was impressive, clearly demonstrating that our laboratory medicine community has the skills and know-how to apply data analytics toward real-world problems in our field.
\nThe winner of the competition was team ‘Kagglist’ who submitted a model with the highest performance on the private validation set, achieving an F1-Score of 0.9!
\nA notable attribute of this team was the involvement of members of different disciplines, including:
\nYingheng Wang, MS — Core Team Member
\nYingheng received his master's degree in biomedical engineering at Johns Hopkins University. He is currently a PhD student of Computer Science at Cornell University working in Dr. Fei Wang's lab at Weill Cornell.
Weishen Pan, PhD — Core Team Member
\nDr. Pan received his PhD from Tsinghua University and is a postdoctoral associate in Dr. Fei Wang's lab at Weill Cornell.
He Sarina Yang, PhD — Team Co-supervisor, Domain Expert
\nDr. Yang received her PhD from Northwestern University and is currently an assistant professor in the Department of Pathology and Laboratory Medicine, and medical director of clinical chemistry, at Weill Cornell.
Fei Wang, PhD — Team Supervisor, Principal Investigator
\nDr. Wang received his PhD from Tsinghua University. He is an associate professor of health informatics in the Department of Population Health Sciences at Weill Cornell.
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Yingheng Wang presented the Kagglist approach at the Informatics Division Luncheon at the 2022 AACC Annual Scientific Meeting. The presentation laid out the details of their thoughtful and elegant approach. For those who are interested in how they built their model, but were unable to attend the live event, team Kagglist will be posting their code to the code section of the Kaggle page (https://www.kaggle.com/competitions/aacc-2022-predicting-pthrp-results/code).
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Thank you to everyone who participated in the contest and the live event. Thanks to everyone who made this event possible including Mark Zaydman and Nick Spies from Washington University in St. Louis, the AACC data analytics steering committee (Tylis Chang, Thomas Durant, Shannon Haymond, Daniel Holmes, and Patrick Mathias), and the AACC division of informatics (Mark Cervinski). A big thank you to Matt Boyle and Ashley Shafer at AACC whose hard work made this a successful competition and event.
\nWe are pleased to announce the results of the predictive analytics competition hosted by the AACC Data Analytics Steering Committee and the Pathology Informatics Section of Washington University in St. Louis.
\nTwenty-four different teams submitted solutions to the Predict the PTHrP Result challenge. The accuracy of these models was impressive, clearly demonstrating that our laboratory medicine community has the skills and know-how to apply data analytics toward real-world problems in our field.
\nThe winner of the competition was team ‘Kagglist’ who submitted a model with the highest performance on the private validation set, achieving an F1-Score of 0.9!
\nA notable attribute of this team was the involvement of members of different disciplines, including:
\nYingheng Wang, MS — Core Team Member
\nYingheng received his master's degree in biomedical engineering at Johns Hopkins University. He is currently a PhD student of Computer Science at Cornell University working in Dr. Fei Wang's lab at Weill Cornell.
Weishen Pan, PhD — Core Team Member
\nDr. Pan received his PhD from Tsinghua University and is a postdoctoral associate in Dr. Fei Wang's lab at Weill Cornell.
He Sarina Yang, PhD — Team Co-supervisor, Domain Expert
\nDr. Yang received her PhD from Northwestern University and is currently an assistant professor in the Department of Pathology and Laboratory Medicine, and medical director of clinical chemistry, at Weill Cornell.
Fei Wang, PhD — Team Supervisor, Principal Investigator
\nDr. Wang received his PhD from Tsinghua University. He is an associate professor of health informatics in the Department of Population Health Sciences at Weill Cornell.
\n
Yingheng Wang presented the Kagglist approach at the Informatics Division Luncheon at the 2022 AACC Annual Scientific Meeting. The presentation laid out the details of their thoughtful and elegant approach. For those who are interested in how they built their model, but were unable to attend the live event, team Kagglist will be posting their code to the code section of the Kaggle page (https://www.kaggle.com/competitions/aacc-2022-predicting-pthrp-results/code).
\n
Thank you to everyone who participated in the contest and the live event. Thanks to everyone who made this event possible including Mark Zaydman and Nick Spies from Washington University in St. Louis, the AACC data analytics steering committee (Tylis Chang, Thomas Durant, Shannon Haymond, Daniel Holmes, and Patrick Mathias), and the AACC division of informatics (Mark Cervinski). A big thank you to Matt Boyle and Ashley Shafer at AACC whose hard work made this a successful competition and event.
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