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readClinical.py
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readClinical.py
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import csv
def readKSADS():
header=True
indices=dict()
Affective= ('mdd_current_i') #,'mdd_dsm5_current_i','dysthymia_current_i','dysthymia_dsm5_current_i','depressive_nos_current_i','adj_depressed_current_i','mania_current_i','hypomania_current_i','cyclothymia_current_i','cyclothymia_dsm5_current_i','bipolar_i_current_i','bipolar_i_dsm5_current_i','bipolar_ii_current_i','bipolar_ii_dsm5_current_i','bipolar_nos_current_i')
Psychotic= ('schizophrenia_current_i','schizophrenia_dsm5_current_i','schizoaffective_current_i','schizoaffective_dsm5_current_i','schizophreniform_current_i')
Anxiety=('panic_current_i','sep_anxiety_current_i','avoid_current_i','specific_phobia_current_i','social_phobia_current_i','social_phobia_dsm5_current_i','agoraphobia_current_i','agoraphobia_dsm5_current_i','overanx_current_i','gen_anxiety_current_i','illness_anxiety_dsm5_current_i','ocd_current_i','ocd_dsm5_current_i','hoarding_dsm5_current_i','excoriation_dsm5_current_i',
'ptsd_current_i','ptsd_dsm5_current_i','acute_stress_current_i','acute_stress_dsm5_current_i','adj_anx_current_i','enuresis_current_i','encopresis_current_i','anorexia_current_i','anorexia_dsm5_current_i','bulimia_current_i','bulimia_dsm5_current_i','binge_eating_dsm5_current_i')
Behavioral=('adhd_current_i','adhd_dsm5_current_i','adhd_unspec_dsm5_current_i','conduct_current_i','conduct_dsm5_current_i','odd_current_i','odd_dsm5_current_i','pyromania_dsm5_current_i','kleptomania_dsm5_current_i','disruptive_unspec_dsm5_current_i','adj_conduct_current_i','adj_mixed_current_i','tourettes_current_i','tourettes_dsm5_current_i',
'chronic_tic_current_i','chronic_tic_dsm5_current_i','transient_tic_current_i','transient_tic_dsm5_current_i')
Substance=('alcohol_abuse_current_i','alcohol_depend_current_i','alcohol_use_dsm5_current_i','alcohol_unspec_dsm5_current_i','substance_abuse_current_i','substance_depend_current_i','substance_use_dsm5_current_i','mental_current_i','other_current_i','other_dx_current_i')
categories=[Affective, Psychotic,Anxiety,Behavioral,Substance]
subjects=dict()
with open('/space/erebus/1/users/jwang/KSADS2.csv', 'r') as csvfile:
spamreader = csv.DictReader(csvfile, delimiter=',', quotechar='|')
for row in spamreader:
if header:
#for column in row:
# if column.endswith("current_i"):
# print(column)
header=False
else:
if row['banda_id']!= '':
subjects[row['banda_id']]=[]
for cat in categories:
aff=0
for i in cat:
try:
aff += int(row[i])
except:
None
subjects[row['banda_id']].append(aff) #/len(cat))
print( subjects)
return subjects
def naquever():
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"150824_GX83NF//-1873790887",
"150824_GX83NF//-1873790888",
"150824_GX83NF//-1873890787",
"150824_GX83NF//-1873890788",
"150824_GX83NF//-1873890887",
"150824_GX83NF//-1873890888",
"150824_GX83NF//-1873891887",
"150824_GX83NF//-1873891888",
"150824_GX83NF//-1884790787",
"150824_GX83NF//-1884790788",
"150824_GX83NF//-1884790877",
"150824_GX83NF//-1884790878",
"150824_GX83NF//-1884800777",
"150824_GX83NF//-1884800778",
"150824_GX83NF//-1884800887",
"150824_GX83NF//-1884800888",
"150824_GX83NF//-1884890877",
"150824_GX83NF//-1884890878",
"150824_GX83NF//-1884890887",
"150824_GX83NF//-1884890888",
"150824_GX83NF//-1884900777",
"150824_GX83NF//-1884900778",
"150824_GX83NF//-1884900877",
"150824_GX83NF//-1884900878",
"150824_GX83NF//-1884901887",
"150824_GX83NF//-1884901888",
"150826_CL32UF//-1883791887",
"150826_CL32UF//-1883791888",
"150831_QX07AF//-1783890777",
"150831_QX07AF//-1783890778",
"150831_QX07AF//-1784900887",
"150831_QX07AF//-1784900888",
"150831_QX07AF//-1883791787",
"150831_QX07AF//-1883791788",
"150831_QX07AF//-1883901887",
"150831_QX07AF//-1883901888"]
thethingys= set()
for a in lista:
thethingys.add(a.split('/')[0])
print(thethingys)