Cargando…

Using Unsupervised Machine Learning as an Alternative to Curated Medical School Rankings

This cross-sectional study compares an unsupervised machine learning algorithm’s ability to group schools into tiers vs the US News & World Report’s medical school rankings.

Detalles Bibliográficos
Autor principal:	Turner, Brandon E.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Medical Association 2023
Materias:	Research Letter
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354671/ https://www.ncbi.nlm.nih.gov/pubmed/37462975 http://dx.doi.org/10.1001/jamanetworkopen.2023.24100

Ejemplares similares

Unsupervised ranking of clustering algorithms by INFOMAX
por: Sikdar, Sandipan, et al.
Publicado: (2020)

Policies to Support Lactation at Highly Ranked US Medical Schools
por: Santhosh, Lekshmi, et al.
Publicado: (2023)

An unsupervised machine learning approach to evaluate sports facilities condition in primary school
por: Xia, Jun, et al.
Publicado: (2022)

Keratoconus severity identification using unsupervised machine learning
por: Yousefi, Siamak, et al.
Publicado: (2018)

Redundancy-aware unsupervised ranking based on game theory: Ranking pathways in collections of gene sets
por: Balestra, Chiara, et al.
Publicado: (2023)

Unsupervised Ensemble of Ranking Models for News Comments Using Pseudo Answers
por: Fujita, Soichiro, et al.
Publicado: (2020)

Unsupervised Machine Learning to Identify Depressive Subtypes
por: Kung, Benson, et al.
Publicado: (2022)

Use of unsupervised machine learning to characterise HIV predictors in sub-Saharan Africa
por: Mutai, Charles K., et al.
Publicado: (2023)

Analysis of the mandibular canal course using unsupervised machine learning algorithm
por: Kim, Young Hyun, et al.
Publicado: (2021)

Unsupervised Machine Learning Applied to Seismic Interpretation: Towards an Unsupervised Automated Interpretation Tool
por: Celecia, Alimed, et al.
Publicado: (2021)

Handling DNA malfunctions by unsupervised machine learning model
por: Khazaaleh, Mutaz Kh., et al.
Publicado: (2023)

Triage by ranking to support the curation of protein interactions
por: Mottin, Luc, et al.
Publicado: (2017)

Unsupervised machine learning discovers classes in aluminium alloys
por: Bhat, Ninad, et al.
Publicado: (2023)

Recreation of the periodic table with an unsupervised machine learning algorithm
por: Kusaba, Minoru, et al.
Publicado: (2021)

Observing flow of He II with unsupervised machine learning
por: Wen, X., et al.
Publicado: (2022)

Semi-supervised and unsupervised machine learning: novel strategies
por: Albalate, Amparo, et al.
Publicado: (2011)

Detection of overdose and underdose prescriptions—An unsupervised machine learning approach
por: Nagata, Kenichiro, et al.
Publicado: (2021)

Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia
por: Coombes, Caitlin E, et al.
Publicado: (2020)

Sorting protein decoys by machine-learning-to-rank
por: Jing, Xiaoyang, et al.
Publicado: (2016)

MORPHIOUS: an unsupervised machine learning workflow to detect the activation of microglia and astrocytes
por: Silburt, Joseph, et al.
Publicado: (2022)

A Probability-Based Models Ranking Approach: An Alternative Method of Machine-Learning Model Performance Assessment
por: Gajda, Stanisław, et al.
Publicado: (2022)

CI-SpliceAI—Improving machine learning predictions of disease causing splicing variants using curated alternative splice sites
por: Strauch, Yaron, et al.
Publicado: (2022)

Anomaly Detection in Biological Early Warning Systems Using Unsupervised Machine Learning
por: Grekov, Aleksandr N., et al.
Publicado: (2023)

Data-driven categorization of postoperative delirium symptoms using unsupervised machine learning
por: Sri-iesaranusorn, Panyawut, et al.
Publicado: (2023)

Search for new physics using unsupervised machine learning for anomaly detection with ATLAS
por: Zhang, Rui
Publicado: (2023)

Characterization of clinical patterns of dengue patients using an unsupervised machine learning approach
por: Macedo Hair, Gleicy, et al.
Publicado: (2019)

Unsupervised Machine Learning for Developing Personalised Behaviour Models Using Activity Data
por: Fiorini, Laura, et al.
Publicado: (2017)

Classification of malignant tumours in breast ultrasound using unsupervised machine learning approaches
por: Shia, Wei-Chung, et al.
Publicado: (2021)

Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data
por: Eshaghi, Arman, et al.
Publicado: (2021)

Community detection using unsupervised machine learning techniques on COVID-19 dataset
por: Chaudhary, Laxmi, et al.
Publicado: (2021)

Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine Learning
por: Greene, Barry R., et al.
Publicado: (2021)

Differentiating a pachychoroid and healthy choroid using an unsupervised machine learning approach
por: Mirshahi, Reza, et al.
Publicado: (2022)

Profiling Physical Fitness of Physical Education Majors Using Unsupervised Machine Learning
por: Bonilla, Diego A., et al.
Publicado: (2022)

Segmenting accelerometer data from daily life with unsupervised machine learning
por: van Kuppevelt, Dafne, et al.
Publicado: (2019)

Digging deep into Golgi phenotypic diversity with unsupervised machine learning
por: Hussain, Shaista, et al.
Publicado: (2017)

Unsupervised machine learning identifies predictive progression markers of IPF
por: Pan, Jeanny, et al.
Publicado: (2022)

Unsupervised machine learning for detection of faulty beam position monitors
por: Fol, Elena, et al.
Publicado: (2019)

Unsupervised process monitoring and fault diagnosis with machine learning methods
por: Aldrich, Chris, et al.
Publicado: (2013)

Learning unsupervised contextual representations for medical synonym discovery
por: Schumacher, Elliot, et al.
Publicado: (2019)

A Visualization Tool for Cryo-EM Protein Validation with an Unsupervised Machine Learning Model in Chimera Platform
por: Chen, Lin, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_3kviktnivq15t7el2qr5b3tkr4