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  "author": "Ghadeer O. Ghosheh",
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  "author": "Ghadeer O. Ghosheh",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Jin Li",
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      "extra_author": "Jin Li",
            
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    },
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    {
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    {
            
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      "extra_author": "Tingting Zhu",
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      "extra_author": "Tingting Zhu",
            
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      "name": "longitudinal-data",
            
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      "title": "Longitudinal Data"
            
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      "name": "personalized-medicine",
            
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      "title": "Personalized Medicine"
            
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      "description": "",
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      "description": "",
            
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      "name": "time-series-imputation",
            
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      "title": "Time-series Imputation"
            
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  "name": 
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  "name": 
            
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d-generation-of-imputations-in-time-series-electronic-health-records",
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d-generation-of-imputations-in-time-series-electronic-health-records",
            
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  "notes": "A novel deep-learning model that learns the underlying 
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  "notes": "A novel deep-learning model that learns the underlying 
            
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patient dynamics over time across multivariate data to generate 
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patient dynamics over time across multivariate data to generate 
            
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personalized realistic values conditioning on an individual's 
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personalized realistic values conditioning on an individual's 
            
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demographic characteristics and treatments.",
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demographic characteristics and treatments.",
            
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  ],
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  "title": "IGNITE: Individualized GeNeration of Imputations in 
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Time-series Electronic health records",
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Time-series Electronic health records",
            
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