Theme Issue 2024: Machine Learning-Based Predictive Models Using Genomic Data

Eco-Evolutionary Drivers of Vibrio parahaemolyticus Sequence Type 3 Expansion: Retrospective Machine Learning Approach

Amy Marie Campbell, Chris Hauton, Ronny van Aerle, Jaime Martinez-Urtaza

JMIR Bioinform Biotech 2024 (Nov 28); 5:e62747

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Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: Scoping Review

Alexandre Hudon, Mélissa Beaudoin, Kingsada Phraxayavong, Stéphane Potvin, Alexandre Dumais

JMIR Bioinform Biotech 2024 (Nov 15); 5:e62752

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Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study

Younga Heather Lee, Yingzhe Zhang, Chris J Kennedy, Travis T Mallard, Zhaowen Liu, Phuong Linh Vu, Yen-Chen Anne Feng, Tian Ge, Maria V Petukhova, Ronald C Kessler, Matthew K Nock, Jordan W Smoller

JMIR Bioinform Biotech 2024 (Oct 23); 5:e58357

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Deep Learning–Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation

Ananya Raghu, Anisha Raghu, Jillian F Wise

JMIR Bioinform Biotech 2024 (Jul 24); 5:e56538

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Machine Learning Models for Prediction of Maternal Hemorrhage and Transfusion: Model Development Study

Homa Khorrami Ahmadzia, Alexa C Dzienny, Mike Bopf, Jaclyn M Phillips, Jerome Jeffrey Federspiel, Richard Amdur, Madeline Murguia Rice, Laritza Rodriguez

JMIR Bioinform Biotech 2024 (Feb 05); 5:e52059

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