Speech, Language and Cognitive Profile of Mild Cognitive Impairment: A single Case Study
Bibliographic record
Abstract
Heterogeneity of symptoms within and among mild cognitive impairment individuals often makes it challenging to document case reports clinically. Additionally, data on the Indian population is also limited. Therefore, our study includes a case study of a 56-year-old male with mild cognitive impairment from our Institute. A patient had symptoms of mild cognitive impairment following a stroke that occurred 23 years back (vascular in origin). Both formal and informal assessments were carried out. Formal testing was done using the Montreal Cognitive Assessment. On assessment of memory, mild deficits in working memory, episodic memory, and procedural memory were noticed. Attention span and Word-finding difficulties with reduced use of words were observed in language assessment. Problems in reasoning, problem-solving, and decision-making skills, indicating deficits in executive functioning were evident. Linguistic deficits presenting secondary to cognitive deficits in our client could have led to communication breakdowns in speech, affecting his overall quality of life.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".