Artificial Intelligence model to predict resistances in Gram-negative bloodstream infections by Cecilia Bonazzetti, Ettore Rocchi, Alice Toschi, Nicolas Riccardo Derus, Claudia Sala, Renato Pascale, Matteo Rinaldi, Caterina Campoli, Zeno Adrien Igor Pasquini, Beatrice Tazza, Armando Amicucci, Milo Gatti, Simone Ambretti, Pierluigi Viale, Gastone Castellani, Maddalena Giannella

“…Analyses were carried out within a machine learning framework, developed using the scikit-learn Python package. Overall, 2552 patients were included. …”
Get full text

Explainable machine learning algorithms to identify predictors of intention to use family planning among women of reproductive-age in Ethiopia: Evidence from the Performance Monito... by Agmasie Damtew Walle, Shimels Derso Kebede, Jibril Bashir Adem, Tewodros Desalegn Nebi, Daniel Niguse Mamo, Sudi Jemal Wado, Ermias Bekele Enyew

“…Introduction Reducing maternal and infant mortality, preventing unintended pregnancies and improving the health of women and their families are all strongly associated with use of family planning (FP). …”
Get full text

AnimalMotionViz: An interactive software tool for tracking and visualizing animal motion patterns using computer vision by Angelo L. De Castro, Jin Wang, Jessica G. Bonney-King, Gota Morota, Emily K. Miller-Cushon, Haipeng Yu

“…The software comes with an easy-to-use web-based graphical user interface built with the Python Dash package. It implements a set of background subtraction algorithms in the OpenCV package to track animal motion patterns in real time. …”
Get full text

Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, E... by Daniel Niguse Mamo, Tesfahun Melese Yilma, Makda Fekadie Tewelgne, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku, Agmasie Damtew Walle

“…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. …”
Get full text

Polypharmacy and Potentially Inappropriate Medication in Iranian People With Metabolic Syndrome: Epidemiological Aspects and Related Factors, a Multi‐Level Cross‐Sectional National... by Mojdeh Daneshmand, Hamidreza Jamshidi, Mohammad‐Reza Malekpour, Erfan Ghasemi, Sahar Saeedi Moghaddam, Seyede Salehe Mortazavi, Mohsen Shati, Mohammad Hadi Farjoo, Farshad Farzadfar

“…Univariate and multivariate logistic regression were used to analyze the associations. All statistical analyses were done using SPSS 22 and Python 3. …”
Get full text

Optimal Temperature Calculation for Multicriteria Optimization of the Hydrogenation of Polycyclic Aromatic Hydrocarbons by NSGA-II Method by A. A. Alexandrova, S. N. Koledin

“…The program was implemented in Python.Results. In the system of ordinary nonlinear differential equations of chemical kinetics, the concentration was designated yi, the conditional contact time of the reaction mixture with the catalyst — τ. …”
Get full text

Evaluation of choices and time spent on an open online elective course by undergraduate medical students during the COVID-19 pandemic by Z Mfeka, A Turner, J E Wolvaardt, D Muganhiri

“…Data analysis was conducted using Python, version 3.10.11. Results. The course choices of 629 students were analysed. …”
Get full text

RICD: Russian Intensive Care Dataset by A. V. Grechko, M. Y. Yadgarov, A. A. Yakovlev, L. B. Berikashvili, A. N. Kuzovlev, P. A. Polyakov, I. V. Kuznetsov, V. V. Likhvantsev

“…The FRCCR medical information system and the tools «Asclepius», PL/SQL, Microsoft Office Excel, Power Query M, Microsoft PowerBI, Open data editor, and Python were used for data collection and representation. …”
Get full text

Smart Waste Management Framework for Green Cities: Integrating IoT, LoRa, and Deep Learning for Efficient Waste Classification and Management by Suprava Ranjan Laha, Khalid Al Smadi, Ahmad Khader Habboush, Binod Kumar Pattanayak, Saumendra Pattnaik, Bibhuprasad Mohanty

“…In addition, incorporating RecycleCnn, implemented using Python with TensorFlow and Keras frameworks, enhanced the proposed framework by enabling automatic garbage classification with a 98% accuracy rate. …”
Get full text

Prediction of KRAS gene mutations in colorectal cancer using a CT-based radiomic model by Wenjing Wang, Qingbiao Zhang, Shimei Fan, Yuyin Wang, Xingyan Le, Min Ai, Chunqi Du, Junbang Feng, Chuanming Li

“…The PyRadiomics package in Python was used to extract 2,264 radiomic features from each ROI. …”
Get full text

AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients by Jose Manuel Ruiz Giardin, Óscar Garnica, Nieves Mesa Plaza, Juan Víctor SanMartín López, Ana Farfán Sedano, Elena Madroñal Cerezo, Miguel Ángel Duarte Millán, Aida Izquierdo Martínez, Luis Rivas, Marta Rivilla, Alejandro Morales Ortega, Begoña Frutos Pérez, Cristina De Ancos Aracil, Ruth Calderón, Guillermo Soria Fernandez, Jorge Marrero Francés, David Bernal Bello, Jose Ángel Satué Bartolomé, María Toledano Macías, Sara Piedrabuena García, Marta Guerrero Santillán, Rafael Cristóbal, Belen Mora, Laura Velázquez Ríos, Vanesa García de Viedma, Paula Cuenca Ruiz, Ibone Ayala Larrañaga, Lorena Carpintero, Celia Lara, Alvaro Ricardo Llerena, Virginia García Bermúdez, Gema Delgado Cárdenas, Paloma Pardo Rovira, Elena Tejero Sánchez, Maria Jesús Domínguez García, Carolina Mariño, Cristina Bravo, Ana Ontañon, Mario García, Jose Ignacio Hidalgo Pérez, Santiago Prieto Menchero, Natalia González Pereira, Sonia Gonzalo Pascua, Jorge Tarancón Rey, Luis Antonio Lechuga Suárez

“…The models used the random forest technique, Shapley Additive Explanations method, and processing with Python (version 3.10.0; Python Software Foundation) and scikit-learn (version 1.3.0). …”
Get full text

Overcoming challenges and achieving high HPV vaccination uptake in Cameroon: lessons learned from a gender-neutral and single-dose program and community engagement by Andreas Ateke Njoh, Dur-E-Nayab Waheed, Tchokfe Shalom Ndoula Josue Kedakse, Lionel Junior Ebongue, Eugene Justine Kongnyuy, Adidja Amani, Afizu Chrakoh Tambasho, Yauba Saidu, Mohamed II Kaba, Clovis Nchinjoh Sangwe, Herman Kenfack, Judith Seungue, Daniel Nebongo, Nadege Edwige Nnang, Alex Vorsters, Laurent Cleenewerck de Kiev

“…Abstract Introduction Human papillomavirus (HPV) is sexually transmissible and affects almost all sexually active people. The virus infects females and males, causing genital warts, cervical cancer, and oropharyngeal cancers in some. …”
Get full text

Value of synthetic MRI in predicting treatment response to neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer by WANG Kangning, ZHU Lan, FENG Weiming, XIA Yihan, SHI Bowen, ZHANG Huan

“…All subjects completed synthetic MRI and high-resolution T2-weighted imaging (T2WI) scans within two weeks before receiving nCRT treatment. …”
Get full text

Development and application of a model for the automatic evaluation and classification of onions (Allium cepa L.) using a Deep Neural Network (DNN) by Piotr Rybacki, Przemysław Przygodziński, Przemysław Łukasz Kowalczewski, Zuzanna Sawinska, Ireneusz Kowalik, Andrzej Osuch, Ewa Osuch

“…The Hyduro F1 onion variety, a hybrid all-purpose variety of the Rijnsburger type, was used to build, teach and test the model. …”
Get full text

Forecasting tuberculosis in Ethiopia using deep learning: progress toward sustainable development goal evidence from global burden of disease 1990–2021 by Zinabu Bekele Tadese, Fetlework Gubena Arage, Tigist Kifle Tsegaw, Eyob Akalewold Alemu, Tsegasilassie Gebremariam Abate, Eliyas Addisu Taye

“…The analysis result revealed that multistep LSTM model outperformed all achieving MAE: 5.53, RMSE: 6.74, MAPE: 2.72% and sMAPE:2.76%. …”
Get full text

Explainable machine learning and online calculators to predict heart failure mortality in intensive care units by An‐Tian Chen, Yuhui Zhang, Jian Zhang

“…The primary outcome was all‐cause mortality within 28 days. Data analysis was performed using Python and R, with feature selection conducted via least absolute shrinkage and selection operator (LASSO) regression. …”
Get full text

Technical note: “U–Th Analysis” – open-source software dedicated to MC-ICP-MS U-series data treatment and evaluation by I. K. Kerber, F. Kontor, A. Mielke, A. Mielke, S. Warken, S. Warken, N. Frank

“…Result files are saved automatically and contain all relevant settings used. We demonstrate the relevance of adequate data outlier treatment and generally recommend using the median instead of the mean of calculated ratios. …”
Get full text

TelescopeML. II. Convolutional Neural Networks for Predicting Brown Dwarf Atmospheric Parameters by Ehsan (Sam) Gharib-Nezhad, Hamed Valizadegan, Natasha E. Batalha, Miguel J. S. Martinho, Ben W.P. Lew

“…We also find that the C/O ratio tends to be higher than solar if not kept fixed. Concurrently, all modules and functions used to train, develop, and deploy the CNNs and process the spectra are consolidated into a Python PyPI package named TelescopeML , which is publicly available along with a thoroughly documented tutorial covering installation, deployment, and core concepts.…”
Get full text

Odense-Oxford PET Image Analysis (OPETIA): An FSL-based toolbox for multimodal neuroimaging by Mohammadtaha Parsayan, Sasan Andalib, Thomas Lund Andersen, Habib Ganjgahi, Poul Flemming Høilund-Carlsen, Abass Alavi, Mojtaba Zarei

“…OPETIA measurements were significantly (p-value < 0.01) larger than those of SPM12 in all brain regions (according to the Harvard-Oxford brain atlas), indicating a systematic difference between these tools. …”
Get full text

Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019 by Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, Abraham Dessie Gessesse, Gebeyehu Fassil Gebeyehu, Kalkidan Kassahun Aweke, Mikiyas Birhanu Ejigu, Mathias Amare Sendeku, Kirubel Adrissie Barkneh, Hasset Girma Demissie, Wubshet D. Negash, Birku Getie Mihret

“…An ensemble Machin learning algorithm using different classification models were implemented. All analysis and calculation were performed using Python 3 programming language in Jupyter Notebook using imblearn, sklearn, and xgboost pakages. …”
Get full text