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  1. 5821
    “…This prototype was developed using TensorFlow, Keras, and Python code. A pilot study was run with 8 volunteers that used the prototype on their fingers and ears. …”
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    Development of a Noninvasive Blood Glucose Monitoring System Prototype: Pilot Study
  2. 5822
    “…In addition, the Xception Model was pre-trained on the ImageNet database with python and TensorFlow deep learning library for the prediction of loosening. …”
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    A novel image-based machine learning model with superior accuracy and predictability for knee arthroplasty loosening detection and clinical decision making
  3. 5823
    “…Text sentiment for each social media platform was then classified with our fine-tuned model using Python programming language and the Hugging Face sentiment analysis pipeline. …”
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    Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study
  4. 5824
    “…We also developed the sspa python package (freely available at https://pypi.org/project/sspa/), providing implementations of all the methods benchmarked in this study. …”
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    Single sample pathway analysis in metabolomics: performance evaluation and application
  5. 5825
    “…Data-driven cluster analysis was performed using a Python program in patients with newly diagnosed T2D (n=721) of the Siriraj Diabetes Registry using five variables (age, body mass index (BMI), glycated hemoglobin (HbA(1c)), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C)). …”
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    Cluster analysis of Thai patients with newly diagnosed type 2 diabetes mellitus to predict disease progression and treatment outcomes : A prospective cohort study
  6. 5826
    “…MethylC-analyzer is a Python- and R-based program designed to perform comprehensive downstream analyses of methylation data, providing an intuitive analysis platform for scientists unfamiliar with DNA methylation analysis. …”
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    MethylC-analyzer: a comprehensive downstream pipeline for the analysis of genome-wide DNA methylation
  7. 5827
    “…Eight machine learning algorithms were employed on a total sample of 5885 women and evaluated using performance metrics to predict and identify important predictors of discontinuation through python software. Feature importance method was used to select top predictors of contraceptive discontinuation. …”
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    Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach
  8. 5828
    por Campillos-Llanos, Leonardo
    Publicado 2023
    “…MedLexSp improved the scores for PoS tagging and lemmatization compared to the default Spacy and Stanza python libraries. CONCLUSIONS: The lexicon is distributed in a delimiter-separated value file; an XML file with the Lexical Markup Framework; a lemmatizer module for the Spacy and Stanza libraries; and complementary Lexical Record (LR) files. …”
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    MedLexSp – a medical lexicon for Spanish medical natural language processing
  9. 5829
    “…One hundred and four patients of them had LLNM and 139 did not have LLNM. The pandas Python library was used for the statistical analysis, and the Spearman coefficient was used to analyze the correlation between each parameter and the prediction index. …”
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    Developing and validating a multivariable machine learning model for the preoperative prediction of lateral lymph node metastasis of papillary thyroid cancer
  10. 5830
    “…The system was implemented with python in the Spyder editor of Anaconda Navigator IDE. …”
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    A Novel Blunge Calibration Intelligent Feature Classification Model for the Prediction of Hypothyroid Disease
  11. 5831
    “…METHODS: Text data from female patients newly diagnosed, post-operative, or undergoing chemotherapy were collected between June 2021 and January 2022 via a Python web crawler, semi-structured interviews, and an expressive writing intervention. …”
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    Listening to voices from multiple sources: A qualitative text analysis of the emotional experiences of women living with breast cancer in China
  12. 5832
    “…The final candidate selection is performed using the cheminformatics tool RDKit in the Python segment (MAW-Py). Furthermore, each feature is assigned a chemical structure and can be imported to a chemical structure similarity network. …”
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    MAW: the reproducible Metabolome Annotation Workflow for untargeted tandem mass spectrometry
  13. 5833
    “…The GeneSigNet method was implemented in python, and installable package, source codes and the data sets used for and generated during this study are available at the Github site https://github.com/ncbi/GeneSigNet. …”
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    Influence network model uncovers relations between biological processes and mutational signatures
  14. 5834
    “…Data preprocessing was performed using Python library Pandas (McKinney, 2011). Top-level binary representation (Singh, 2015) was used for diagnosis and procedure codes. …”
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    2416: A machine learning pipeline to predict acute kidney injury (AKI) in patients without AKI in their most recent hospitalization
  15. 5835
    por Barbetti, Matteo
    Publicado 2022
    “…Nel corso del lavoro di tesi, ho avuto l’opportunità di familiarizzare con pacchetti software ampiamente utilizzati in ambito scientifico, quali git, ROOT e Python; ho trascorso alcune giornate nella sala di controllo dell’esperimento durante la presa-dati, oltre ad aver presentato e discusso lo stato del mio lavoro con esperti italiani e stranieri. …”
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    Studio delle risonanze di stati di charmonium nei decadimenti $B^+ \to p \bar{p} K^+$ e $B^+ \to p \bar{p} \gamma K^+$ con l'esperimento LHCb al CERN
  16. 5836
    “…After image normalization, the deep learning platform Python (version 3.9.12) was used in Ubuntu 20.04.1 LTS to construct automatic tumor detection and the MSOM prediction model. …”
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    Automatic tumor segmentation and metachronous single-organ metastasis prediction of nasopharyngeal carcinoma patients based on multi-sequence magnetic resonance imaging
  17. 5837
    “…Patients’ data were extracted from the electronic database using a structured checklist and imported into Python version three software for data pre-processing and analysis. …”
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    Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, Ethiopia, 2022
  18. 5838
    “…We used the scikit-learn Python library to apply a support vector machine classifier to identify the tweets with a negative stance toward COVID-19 vaccines. …”
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    Dynamics of the Negative Discourse Toward COVID-19 Vaccines: Topic Modeling Study and an Annotated Data Set of Twitter Posts
  19. 5839
    “…Finally, a server-based Python program that interacts with databases containing user data and tailored messages was built using Microsoft Azure to select and automatically send messages to users through Telegram messenger. …”
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    SNapp, a Tailored Smartphone App Intervention to Promote Walking in Adults of Low Socioeconomic Position: Development and Qualitative Pilot Study
  20. 5840
    “…These workflows are implemented via Snakemake, a python-based workflow manager. Software dependencies are either shipped with the release or handled with conda. …”
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    HISS: Snakemake-based workflows for performing SMRT-RenSeq assembly, AgRenSeq and dRenSeq for the discovery of novel plant disease resistance genes
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