# 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/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohammad Junayed Hasan,Fuad Rahman,Nabeel Mohammed |
| Citations | 2 |
| DOI | 10.2139/ssrn.4797716 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://doi.org/10.2139/ssrn.4797716 |
| OpenAlex ID | https://openalex.org/W4394951779 |
| Type | preprint |
| Year | 2024 |

## Paper authors

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

## Paper journal

- [SSRN Electronic Journal](https://scholariq.org/journals/ssrn-electronic-journal/)

## 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/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)

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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.