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SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing
Izdano 2022-04-01“…In this work, we introduce SciKit Digital Health (SKDH), a Python software package (Python Software Foundation) containing various algorithms for deriving clinical features of gait, sit to stand, physical activity, and sleep, wrapped in an easily extensible framework. …”
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2
Evaluating Bard Gemini Pro and GPT-4 Vision Against Student Performance in Medical Visual Question Answering: Comparative Case Study
Izdano 2024-12-01“…Statistical analysis was conducted using Python (Python Software Foundation), with key libraries for data manipulation and visualization. …”
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3
Trend of the Tuberculous Pleurisy Notification Rate in Eastern China During 2017-2021: Spatiotemporal Analysis
Izdano 2023-10-01“…The prediction of TP prevalence was performed using the seasonal autoregressive integrated moving average (SARIMA), Holt-Winters exponential smoothing, and Prophet models using R (The R Foundation) and Python (Python Software Foundation). ResultsThe average notification rate of TP in Zhejiang Province was 7.06 cases per 100,000 population, peaking in the summer. …”
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4
Assessment of Digital Capabilities by 9 Countries in the Alliance for Healthy Cities Using AI: Cross-Sectional Analysis
Izdano 2025-02-01“…The survey leveraged ChatGPT (version 4.0; OpenAI, Microsoft), accessed via Python (Python Software Foundation) application programming interface. …”
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5
ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research
Izdano 2025-02-01“…Outcomes from consecutive prompt-based trials were assessed against expected statistical values calculated in Python (Python Software Foundation), SAS (SAS Institute), and RStudio (Posit PBC). …”
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6
Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data
Izdano 2020-05-01“…We used Stata 16 (StataCorp) for quantitative analysis, and Python (Python Software Foundation) to plot a state-level heat map. …”
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7
Piloting the Inclusion of the Key Populations Unique Identifier Code in the South African Routine Health Information Management System: Protocol for a Multiphased Study
Izdano 2024-09-01“…Qualitative and quantitative data will be analyzed using ATLAS.ti (version 6; ATLAS.ti Scientific Software Development GmbH) and Python (version 3.8; Python Software Foundation) programming language, respectively. …”
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8
Revealing the Mysteries of Population Mobility Amid the COVID-19 Pandemic in Canada: Comparative Analysis With Internet of Things–Based Thermostat Data and Google Mobility Insights...
Izdano 2024-03-01“…Data processing, analysis, and visualization were conducted on the Microsoft Azure platform using Python (Python Software Foundation) and R programming languages (R Foundation for Statistical Computing). …”
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9
Predictors of Medical and Dental Clinic Closure by Machine Learning Methods: Cross-Sectional Study Using Empirical Data
Izdano 2024-08-01“…This study used SAS (version 9.4; SAS Institute Inc) and Python (version 3.7.9; Python Software Foundation). ResultsThe best-fit model for the closure of MCs with cross-validation was the support vector machine (AUC 0.762, 95% CI 0.746-0.777; P<.001) followed by RF (AUC 0.736, 95% CI 0.720-0.752; P<.001). …”
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10
Exploring User Perspectives of and Ethical Experiences With Teletherapy Apps: Qualitative Analysis of User Reviews
Izdano 2023-09-01“…We wrote Python scripts (Python Software Foundation) to scrape user reviews from the 8 apps, collecting 3268 user reviews combined across 2 app stores. …”
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11
Listening to Stakeholders Involved in Speech-Language Therapy for Children With Communication Disorders: Content Analysis of Apple App Store Reviews
Izdano 2022-01-01“…Using an automatic Python (Python Software Foundation) crawler developed by our research team and a Really Simple Syndication feed generator provided by Apple, we extracted a total of 721 app reviews from 2009 to 2020. …”
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12
Cross-Platform Ecological Momentary Assessment App (JTrack-EMA+): Development and Usability Study
Izdano 2025-01-01“…JDash (Research Centre Jülich, Institute of Neuroscience and Medicine, Brain and Behaviour [INM-7]) is an online management tool created using Python (Python Software Foundation) with the Django (Django Software Foundation) framework. …”
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13
Optical coherence tomography angiography measured area of retinal neovascularization is predictive of treatment response and progression of disease in patients with proliferative d...
Izdano 2020-11-01“…Areas of retinal neovascularizations (OCT-A and FA) were calculated by algorithms developed in Python (version 3.6.8, The Python Software Foundation, USA). Results Of 21 eyes included, 14 had progression of disease. …”
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14
Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study
Izdano 2025-01-01“…We developed 10 ML models in Python (Python Software Foundation) to predict PPTIC based on preoperative indicators. …”
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15
A Multidisciplinary Assessment of ChatGPT’s Knowledge of Amyloidosis: Observational Study
Izdano 2024-04-01“…The readability of ChatGPT-4 responses was also evaluated using the Textstat library in Python (Python Software Foundation) and the Textstat readability package in R software (R Foundation for Statistical Computing). …”
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16
Prediction Model for Postoperative Quality of Life Among Breast Cancer Survivors Along the Survivorship Trajectory From Pretreatment to 5 Years: Machine Learning–Based Analysis
Izdano 2023-08-01“…The analyses were performed using the Python 3.7 programming environment (Python Software Foundation). ResultsThe study included 6265 breast cancer survivors in the training data set and 432 patients in the validation set. …”
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17
Natural History and Real-World Treatment Outcomes for Patients With NSCLC Having EGFR Exon 20 Insertion Mutation: An International Association for the Study of Lung Cancer–American...
Izdano 2024-06-01“…All analyses were performed using Python 3.6 (Python Software Foundation). Results: A total of 357 patients were eligible. …”
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