Application of Deep Learning to Screening Test of Dementia

Background: In order to develop a new screening test of cognitive impairment, we studied whether cognitive function can be estimated from basic blood test data by applying deep learning models. This model was constructed based on the effects of systemic metabolic disorders on cognitive function.Methods: We employed a deep neural network (DNN) to predict cognitive function based on subject's age and blood test items (23 items). We included 202 patients (73.48 ± 13.1 years) with various systemic metabolic disorders for training of the DNN model, and the following groups for validation of the model: (1) Patient group, 65 patients (73.6 ± 11.0 years) who were hospitalized for rehabilitation after stroke; (2) Healthy group, 37 subjects (62.0 ± 8.6 years); (3) Health examination group, 165 subjects (54.0 ± 8.6 years) admitted for a health examination. The subjects underwent the Mini-Mental State Examination (MMSE).Results: There were significant positive correlations between the predicted MMSE scores and ground truth scores in the Patient and Healthy groups (r = 0.66, p < 0.001). There were no significant differences between the predicted MMSE scores and ground truth scores in the Patient group (p > 0.05); however, in the Healthy group, the predicted MMSE scores were slightly, but significantly, lower than the ground truth scores (p < 0.05). In the Health examination group, the DNN model classified 94 subjects as normal (MMSE = 27–30), 67 subjects as having mild cognitive impairment (24–26), and four subjects as having dementia (≤ 23). In 37 subjects in the Health examination group, the predicted MMSE scores were slightly lower than the ground truth MMSE (p < 0.05). In contrast, in the subjects with neurological disorders, such as subarachnoid hemorrhage, the ground truth MMSE scores were lower than the predicted scores.Conclusions: The DNN model could predict cognitive function accurately. The predicted MMSE scores were significantly lower than the ground truth scores in the Healthy and Health examination groups, while there was no significant difference in the Patient group. We suggest that the difference between the predicted and ground truth MMSE scores was caused by changes in atherosclerosis with aging, and that applying the DNN model to younger subjects may predict future cognitive impairment after the onset of atherosclerosis.

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Short-Form Application of the Screening Test of Spanish Grammar and the Northwestern Syntax Screening Test to Latino Children

Language Speech and Hearing Services in Schools ◽

10.1044/0161-1461.0904.220 ◽

1978 ◽

Vol 9 (4) ◽

pp. 220-235

Author(s):

David L. Ratusnik ◽

Carol Melnick Ratusnik ◽

Karen Sattinger

Keyword(s):

New York ◽

Case Studies ◽

Metropolitan Area ◽

Screening Test ◽

Normative Data ◽

Short Form ◽

Latino Children ◽

Data Application ◽

York Metropolitan Area ◽

Multiple Regression Technique

Short-form versions of the Screening Test of Spanish Grammar (Toronto, 1973) and the Northwestern Syntax Screening Test (Lee, 1971) were devised for use with bilingual Latino children while preserving the original normative data. Application of a multiple regression technique to data collected on 60 lower social status Latino children (four years and six months to seven years and one month) from Spanish Harlem and Yonkers, New York, yielded a small but powerful set of predictor items from the Spanish and English tests. Clinicians may make rapid and accurate predictions of STSG or NSST total screening scores from administration of substantially shortened versions of the instruments. Case studies of Latino children from Chicago and Miami serve to cross-validate the procedure outside the New York metropolitan area.

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Computer-Managed Screening for Communication Disorders

Language Speech and Hearing Services in Schools ◽

10.1044/0161-1461.1502.66 ◽

1984 ◽

Vol 15 (2) ◽

pp. 66-69 ◽

Cited By ~ 5

Author(s):

James L. Fitch ◽

Linda Allen Davis ◽

W. Bryce Evans ◽

Daniel E. Sellers

Keyword(s):

Satisfactory Agreement ◽

Screening Test ◽

Communication Disorders ◽

Pencil And Paper ◽

Paper Format

Fifty children were administered a screening test for communication disorders under two conditions. Under one condition graduate clinicians administered the test in the traditional pencil and paper format. Under the second condition nonprofessionals administered a computer-managed version of the same test. It was found that the computer-managed screening test yielded satisfactory agreement for the language sections. The results of the articulation section of the screening test were ambiguous.

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