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README.md
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base_model: microsoft/phi-2
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pipeline_tag: text-generation
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---
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![](ft_sections.png)
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## Model Details
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- **Developed by: Salvatore Saporito
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- **Language(s) (NLP):** English
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Example:
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Application on unseen data
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PROMPT:
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Answer Phi2_RCT1M-ft-heading:
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#### Software
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torch einops transformers bitsandbytes accelerate peft
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## Model Card Contact
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base_model: microsoft/phi-2
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pipeline_tag: text-generation
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widget:
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- text: "'###Unstruct:\nKawasaki disease (KD) is a systemic vasculitis that causes abnormalities in the coronary arteries. Interleukin (IL)-41 is a novel immunoregulatory cytokine involved in the pathogenesis of some inflammatory and immune-related diseases. However, the role of IL-41 in KD is unclear. The purpose of this study was to detect the expression of IL-41 in the plasma of children with KD and its relationship with the disease.\nA total of 44 children with KD and 37 healthy controls (HC) were recruited for this study. Plasma concentrations of IL-41 were determined by ELISA. Correlations between plasma IL-41 levels and KD-related clinical parameters were analyzed by Pearson correlation and multivariate linear regression analysis. Receiver operating characteristic curve analysis was used to assess the clinical value of IL-41 in the diagnosis of KD.\nOur results showed that plasma IL-41 levels were significantly elevated in children with KD compared with HC. Correlation analysis demonstrated that IL-41 levels were positively correlated with D-dimer and N-terminal pro-B-type natriuretic peptide, and negatively correlated with IgM, mean corpuscular hemoglobin concentration, total protein, albumin and pre-albumin. Multivariable linear regression analysis revealed that IgM and mean corpuscular hemoglobin concentrations were associated with IL-41. Receiver operating characteristic curve analysis showed that the area under the curve of IL-41 was 0.7101, with IL-41 providing 88.64 % sensitivity and 54.05 % specificity.\nOur study indicated that plasma IL-41 levels in children with KD were significantly higher than those in HC, and may provide a potential diagnostic biomarker for KD.\n###Struct:\n"
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---
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![](ft_sections.png)
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## Model Details
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The publication rate of Randomized Controlled Trials (RCTs) is consistently increasing,
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with more than 1 million RCTs already published.
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Approximately half of these publications are listed in PubMed,
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posing a significant challenge for medical researchers seeking specific information.
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When searching for prior studies, such as for writing systematic reviews,
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researchers often skim through abstracts to quickly determine if the papers meet their criteria of interest.
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This task is facilitated when abstracts are structured, meaning the text within an abstract is organized under semantic headings
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like objective, method, result, and conclusion.
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However, more than half of the RCT abstracts published are unstructured, complicating the rapid identification of relevant information.
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This model classifies each sentence of an abstract into a corresponding heading can greatly accelerate the process of locating the desired information.
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This classification not only aids researchers but also benefits various downstream applications, including automatic text summarization, information extraction, and information retrieval.
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- **Developed by: Salvatore Saporito
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- **Language(s) (NLP):** English
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Example:
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Application on unseen data
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PROMPT: '###Unstruct:\nKawasaki disease (KD) is a systemic vasculitis that causes abnormalities in the coronary arteries. Interleukin (IL)-41 is a novel immunoregulatory cytokine involved in the pathogenesis of some inflammatory and immune-related diseases. However, the role of IL-41 in KD is unclear. The purpose of this study was to detect the expression of IL-41 in the plasma of children with KD and its relationship with the disease.\nA total of 44 children with KD and 37 healthy controls (HC) were recruited for this study. Plasma concentrations of IL-41 were determined by ELISA. Correlations between plasma IL-41 levels and KD-related clinical parameters were analyzed by Pearson correlation and multivariate linear regression analysis. Receiver operating characteristic curve analysis was used to assess the clinical value of IL-41 in the diagnosis of KD.\nOur results showed that plasma IL-41 levels were significantly elevated in children with KD compared with HC. Correlation analysis demonstrated that IL-41 levels were positively correlated with D-dimer and N-terminal pro-B-type natriuretic peptide, and negatively correlated with IgM, mean corpuscular hemoglobin concentration, total protein, albumin and pre-albumin. Multivariable linear regression analysis revealed that IgM and mean corpuscular hemoglobin concentrations were associated with IL-41. Receiver operating characteristic curve analysis showed that the area under the curve of IL-41 was 0.7101, with IL-41 providing 88.64 % sensitivity and 54.05 % specificity.\nOur study indicated that plasma IL-41 levels in children with KD were significantly higher than those in HC, and may provide a potential diagnostic biomarker for KD.\n###Struct:\n
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Answer Phi2_RCT1M-ft-heading:
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#### Software
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pip install torch einops transformers bitsandbytes accelerate peft
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## Model Card Contact
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