Table 4.
Comparison of classifier performance of rule-based and machine learning classifiers (n=600), with machine learning classifier threshold set at 0.5.
Classifier and classification | Features | True positive, n (%) | False positive, n (%) | False negative, n (%) | True negative, n (%) | Sensitivity (95% CI) | Specificity (95% CI) | Accuracy (95% CI) | |
Rule-based | |||||||||
|
ICD-10-CMa or CCb,c | 2 | 220 (36.7) | 5 (0.8) | 64 (10.7) | 311 (51.8) | 0.77 (0.73-0.82) | 0.98 (0.97-1.00) | 0.89 (0.86-0.91) |
LASSOd | |||||||||
|
Model 1e | 34 | 240 (40) | 28 (4.7) | 44 (7.3) | 288 (48) | 0.85 (0.80-0.89) | 0.91 (0.88-0.95) | 0.88 (0.85-0.91) |
|
Model 2f | 53 | 239 (39.8) | 30 (5) | 45 (7.5) | 286 (47.7) | 0.84 (0.79-0.89) | 0.91 (0.87-0.94) | 0.87 (0.85-0.90) |
|
Model 3g | 84 | 242 (40.3) | 29 (4.8) | 42 (7) | 287 (47.8) | 0.86 (0.81-0.90) | 0.91 (0.88-0.94) | 0.88 (0.86-0.97) |
Random forest | |||||||||
|
Model 1 | 34 | 241 (40.2) | 28 (4.7) | 43 (7.2) | 288 (48) | 0.85 (0.80-0.89) | 0.91 (0.88-0.94) | 0.88 (0.86-0.91) |
|
Model 2 | 53 | 242 (40.3) | 39 (6.5) | 42 (4) | 277 (46.1) | 0.85 (0.81-0.89) | 0.88 (0.85-0.92) | 0.86 (0.84-0.89) |
|
Model 3 | 84 | 243 (40.5) | 26 (4.3) | 41 (6.8) | 290 (48.3) | 0.86 (0.81-0.90) | 0.92 (0.88-0.95) | 0.88 (0.86-0.91) |
aICD-10-CM: International Classification of Diseases, Tenth Revision, Clinical Modification.
bCC: chief complaint.
cCC refers to suicide-related chief complaints.
dLASSO: least absolute shrinkage and selection operator–penalized logistic regression.
eModel 1 considered all mental health–related ICD-10-CM codes organized by Child and Adolescent Mental Health Disorders Classification System categories as well as suicide-related CCs and mental health–related CCs.
fModel 2 considered suicide-related ICD-10-CM codes and all data elements (eg, child sociodemographics, emergency department disposition, involuntary hold status, medications, and laboratory tests) except mental health–related ICD-10-CM codes.
gModel 3 considered all structured data elements.