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user4293
user4293

I am trying to reproduce the results given in the paper at the attached linkThe Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.

A MIMIC-3 dataset has been used to generate an AI clinician to suggest a treatment for sepsis patients. The authors shared some patient identifiers under Supplementary Data 1 part at the end. At
At the beginning I thought these were subject_id 's of the patients since they fall in the same range but although the authors shared 17083 id 's, only 7934 of them matched a subject_id in MIMIC-3. Moreover, under Supplementary Text and Figures part at the top of Figure 1, the total number of patients without any elimination is given as 61532 which matches the number of rows in ICUSTAYS table. 

The problem is, the icustay_id's within the table are within a different range compared to the shared id's but I believe there must still be a connection between two. So if anyone tried to reproduce the results before, could you please tell me what the shared id's correspond to? I
I also tried eliminating the patients with the criteria they have given but still I cannot obtain the same numbers.

Thanks in advance.

https://www.nature.com/articles/s41591-018-0213-5

I am trying to reproduce the results given in the paper at the attached link. MIMIC-3 dataset has been used to generate an AI clinician to suggest a treatment for sepsis patients. The authors shared some patient identifiers under Supplementary Data 1 part at the end. At the beginning I thought these were subject_id 's of the patients since they fall in the same range but although the authors shared 17083 id 's, only 7934 of them matched a subject_id in MIMIC-3. Moreover, under Supplementary Text and Figures part at the top of Figure 1, the total number of patients without any elimination is given as 61532 which matches the number of rows in ICUSTAYS table. The problem is, the icustay_id's within the table are within a different range compared to the shared id's but I believe there must still be a connection between two. So if anyone tried to reproduce the results before, could you please tell me what the shared id's correspond to? I also tried eliminating the patients with the criteria they have given but still I cannot obtain the same numbers.

Thanks in advance.

https://www.nature.com/articles/s41591-018-0213-5

I am trying to reproduce the results given in the paper The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.

A MIMIC-3 dataset has been used to generate an AI clinician to suggest a treatment for sepsis patients. The authors shared some patient identifiers under Supplementary Data 1 part at the end.
At the beginning I thought these were subject_id 's of the patients since they fall in the same range but although the authors shared 17083 id 's, only 7934 of them matched a subject_id in MIMIC-3. Moreover, under Supplementary Text and Figures part at the top of Figure 1, the total number of patients without any elimination is given as 61532 which matches the number of rows in ICUSTAYS table. 

The problem is, the icustay_id's within the table are within a different range compared to the shared id's but I believe there must still be a connection between two. So if anyone tried to reproduce the results before, could you please tell me what the shared id's correspond to?
I also tried eliminating the patients with the criteria they have given but still I cannot obtain the same numbers.

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Osman Alenbey
Osman Alenbey
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The Meaning of Patient Identifiers in AI Clinician Paper

I am trying to reproduce the results given in the paper at the attached link. MIMIC-3 dataset has been used to generate an AI clinician to suggest a treatment for sepsis patients. The authors shared some patient identifiers under Supplementary Data 1 part at the end. At the beginning I thought these were subject_id 's of the patients since they fall in the same range but although the authors shared 17083 id 's, only 7934 of them matched a subject_id in MIMIC-3. Moreover, under Supplementary Text and Figures part at the top of Figure 1, the total number of patients without any elimination is given as 61532 which matches the number of rows in ICUSTAYS table. The problem is, the icustay_id's within the table are within a different range compared to the shared id's but I believe there must still be a connection between two. So if anyone tried to reproduce the results before, could you please tell me what the shared id's correspond to? I also tried eliminating the patients with the criteria they have given but still I cannot obtain the same numbers.

Thanks in advance.

https://www.nature.com/articles/s41591-018-0213-5