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Predictive modeling for clinical trial completion: assessing the phase success - factors driving predictive outcomes
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| 1.41 MB | Adobe PDF |
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This study investigates predictive modeling of clinical trial completion using the HINTBasic and HINTPlus models. By integrating multimodal datasets, the models predict clinical trial phase success. Additionally, the study provides interpretability insights into the HINTPlus
model's decision-making process. Our findings support informed decision-making, optimize resource allocation, and accelerate drug development in clinical trials.
Descrição
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Clinical trials Health care Artificial intelligence Machine learning methods Predictive modeling Model interpretability Selective classification