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Diagnosis Codes by Record Count 

Diagnosis Codes by Record Count 

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Figure 3. Machine Learning Methods. Slide from presentation by Timo...
Figure 5. Cerner Datasets 
Figure 8. Distribution of Patient Status after Transplant by Percent...
Figure 17. Patient Transplant Status by Transplant Type Here we see...
+10 Figure 18. Diagnosis Codes by Record Count 
Using System Dynamics with Machine Learning for Modeling Patient Flow and Hospital Staffing Requirements
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  • May 2018
Using system dynamics modeling with machine learning to forecast bone marrow transplant patients and associated staffing requirements.
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Figure 9. Bone Marrow Process Cycle Times by Transplant Type
Using System Dynamics with Machine Learning for Modeling Patient Flow and Hospital Staffing Requirements
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  • Oct 2019
Accurate forecasting is both art and science. For the science component, machine learning algorithms and tools have greatly advanced the ability to identify and dissect historical patterns in data. The art component, and the ability to insert tacit knowledge and domain expertise into the forecast has historically been a challenge. This paper will s...
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