Escalas de Barthel y medida de independencia funcional para determinar la duración de estancia hospitalaria y plan terapéutico rehabilitador accidente cerebrovascular Hospital II Clínica Geriátrica San Isidro Labrador 2017-2018
Bibliographic record
Abstract
Estudia la efectividad de las escalas genéricas de incapacidad Barthel y Medida de Independencia Funcional para determinar la duración de la estancia hospitalaria y plan terapéutico rehabilitador del Accidente Cerebrovascular en el Hospital II Clínica Geriátrica San Isidro Labrador 2017-2018. El Accidente Cerebrovascular, por su prevalencia, alta recurrencia y secuelas discapacitantes, es considerada una enfermedad que debe ser evaluada, diagnosticada y tratada lo antes posible. Cuando más temprano se inicie la evaluación de los especialistas de Medicina Física y Rehabilitación y se empiece la rehabilitación integral (terapia física, de lenguaje y ocupacional), menos secuelas discapacitantes tendrá. Al ser el Hospital II Clínica Geriátrica San Isidro Labrador un lugar de referencia de los pacientes de toda la Red Prestaciones Almenara, EsSalud, y para la continuación de su tratamiento, es imperativo evaluar al paciente durante su ingreso e iniciar el tratamiento rehabilitador de forma temprana. Utilizando las escalas genéricas de incapacidad de Barthel y Medida de Independencia Funcional podremos determinar la estancia hospitalaria y hacer énfasis en que plan terapéutico dejaremos para rehabilitar al paciente lo antes posible.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".