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© kclhi 2020
'Acne' phenotype
3tJXPBK43iqTqheoEebq7i - Acne
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caliber
Input
Potential cases of Acne
⇣
Step
load
'read-potential-cases-disc'
Read potential cases from disc
Select implementation:
python
js
VIEW
Switch to:
read-potential-cases-i2b2
,
read-potential-cases-omop
,
read-potential-cases-fhir
.
⇣
Output
Initial potential cases, read from disc. (csv)
Input
Potential cases of Acne
⇣
Step
logic
'acne---primary'
Identify Acne - primary
Select implementation:
python
VIEW
⇣
Output
Patients with clinical codes indicating Acne related events in electronic health record. (csv)
Input
Potential cases of Acne
⇣
Step
logic
'acne-varioliformi---primary'
Identify Acne varioliformi - primary
Select implementation:
python
VIEW
⇣
Output
Patients with clinical codes indicating Acne related events in electronic health record. (csv)
Input
Potential cases of Acne
⇣
Step
logic
'acne-necrotica---primary'
Identify Acne necrotica - primary
Select implementation:
python
VIEW
⇣
Output
Patients with clinical codes indicating Acne related events in electronic health record. (csv)
Input
Potential cases of Acne
⇣
Step
logic
'acne-blackhead---primary'
Identify Acne blackhead - primary
Select implementation:
python
VIEW
⇣
Output
Patients with clinical codes indicating Acne related events in electronic health record. (csv)
Input
Potential cases of Acne
⇣
Step
logic
'acne-comedo---primary'
Identify Acne comedo - primary
Select implementation:
python
VIEW
⇣
Output
Patients with clinical codes indicating Acne related events in electronic health record. (csv)
Input
Potential cases of Acne
⇣
Step
logic
'other-acne---primary'
Identify Other Acne - primary
Select implementation:
python
VIEW
⇣
Output
Patients with clinical codes indicating Acne related events in electronic health record. (csv)
Input
Potential cases of Acne
⇣
Step
logic
'acne-unspecified---primary'
Identify Acne unspecified - primary
Select implementation:
python
VIEW
⇣
Output
Patients with clinical codes indicating Acne related events in electronic health record. (csv)
Input
Potential cases of Acne
⇣
Step
logic
'acne---secondary'
Identify Acne - secondary
Select implementation:
python
VIEW
⇣
Output
Patients with clinical codes indicating Acne related events in electronic health record. (csv)
Input
Potential cases of Acne
⇣
Step
output
'output-cases'
Output cases
Select implementation:
python
VIEW
⇣
Output
Output containing patients flagged as having this type of Acne (csv)