# OptimCLM: Optimizing clinical language models for predicting patient outcomes via knowledge distillation, pruning and quantization

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/optimclm-optimizing-clinical-language-models-for-predicting-patient-outcomes-via-2/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohammad Junayed Hasan,Fuad Rahman,Nabeel Mohammed |
| Citations | 11 |
| DOI | 10.1016/j.ijmedinf.2024.105764 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4405527989 |
| PMID | 39708669 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Mohammad Junayed Hasan](https://scholariq.org/researchers/mohammad-junayed-hasan/)

## Paper journal

- [International Journal of Medical Informatics](https://scholariq.org/journals/international-journal-of-medical-informatics/)

## Paper primary topic

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

## Paper topics

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.