MétaCan
Menu
Retour à la cohorte
Enregistrement W7045734496

Cardiopulmonary and Cancer Rehabilitation

2022· article· en· W7045734496 sur OpenAlexaboutno aff

Notice bibliographique

RevueThe Mathematics Enthusiast · 2022
Typearticle
Langueen
DomainePhysics and Astronomy
ThématiqueMagnetic confinement fusion research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRehabilitationWork (physics)Test (biology)CancerCardiopulmonary resuscitationCapstone
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

For this capstone project we are helping with the first phase of a 4-phase curricular/outreach program designed to train students (undergraduate and graduate in a peer-mentoring fashion) about professional work in Exercise Rehabilitation for Cardiopulmonary and Cancer Patients. Step 1 includes helping to develop the programmatic approach to testing students as a stand-in for clinical patients. This hands-on approach includes participating in the actual clinical equipment, procedures, and logistics used in modern clinical facilities. Because this program is being developmed in an existing laboratory space that is being repurposed as the Cardiopulmonary and Cancer Rehabilitation Laboratory, our work includes curating the procedures, reconfiguring the lab space, and developing/evolving the initial exercise and testing procedures for patient testing. Among the duties undertaken is the configuration of new equipment in the lab, mock using the equipment in simulated exercise classes, and refining the distribution of exercise ergometers to match the evolving protocols within the lab. Moreover, because this lab setting is designed to mimic clinical settings in small regional medical facilities, we are learning the best ways to utilize our small place in the basement of McGill. One specific type of assessment that we are introducing to the lab is a 6-minute-walk-test (6MWT). This assessment is used to determine certain levels of cardiovascular fitness. The 6MWT is a high-quality test for diseased patients with relatively low levels, including our potential future cancer and pulmonary patients. In the lab we will have 3 treadmills, a NuStep, an arm ergometer, rower, a stair stepped, an elliptical trainer, and 2 bike ergometers available for future patients. In addition, there is strength training equipment, and floor space available for stretching and core exercises. For a given exercise session, each patient will participate in 5 different exercise modalities, not including a structured warm-up and cool-down. All of these exercises will be performed while monitored with a state of the art ECG telemetry (radio transmitted to a central computer station), periodic blood pressure measurements, blood oxygen saturation, and a metric of an individual rate of perceived exertion (subjective feelings of effort), in addition to resting vital signs. Each exercise session is completed within a 60-minute rehabilitation time window. Finally, we have been tasked with the development of patient education materials (1-2 page handouts) on medication use, managing signs and symptoms of recurrent disease, etc. Patient materials also include large full color posters for the facility walls. Poster topics include stretching, lifestyle medicine, strength training exercises, and a scale for the rating of perceived exertion. Once the facility and initial phase of the Cardiopulmonary Rehabilitation program is designed, the lab is also going to be configured for the dual application to Cancer Rehabilitation. These dual purposes apply to rural medical settings in that many smaller cardiopulmonary rehab settings are only used for part of a 40-hour work week. Thus, with the shortage of funds for dedicated facilities, cancer patients could use the same facilities as cardiac patients, maximizing the off hours for exercise classes directed to those recovering from a cancer diagnosis. All the while we are also discussing peer-reviewed manuscripts related to these topics of exercise rehabilitation, discussing the scientific process that underpins applications of exercise physiology to clinical settings, and working on professional development topics with our peers and faculty mentor.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,653
Score d'incertitude au seuil0,920

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0810,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,268
Écart entre enseignants0,255 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueThe Mathematics EnthusiastMême sujetMagnetic confinement fusion researchTravaux en français237 207