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A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity

by Goodman-Meza, David, Rudas, Akos, Chiang, Jeffrey N., Adamson, Paul C., Ebinger, Joseph, Sun, Nancy, Botting, Patrick, Fulcher, Jennifer A., Saab, Faysal G., Brook, Rachel, Eskin, Eleazar, An, Ulzee, Kordi, Misagh, Jew, Brandon, Balliu, Brunilda, Chen, Zeyuan, Hill, Brian L., Rahmani, Elior, Halperin, Eran, Manuel, Vladimir
Published in PloS one (22.09.2020)

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Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia

by Islam, Md. Merajul, Alam, Md. Jahangir, Maniruzzaman, Md, Ahmed, N. A. M. Faisal, Ali, Md Sujan, Rahman, Md. Jahanur, Roy, Dulal Chandra
Published in PloS one (24.08.2023)

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Deep Learning Algorithm for Automated Cardiac Murmur Detection via a Digital Stethoscope Platform

by Chorba, John S., Shapiro, Avi M., Le, Le, Maidens, John, Prince, John, Pham, Steve, Kanzawa, Mia M., Barbosa, Daniel N., Currie, Caroline, Brooks, Catherine, White, Brent E., Huskin, Anna, Paek, Jason, Geocaris, Jack, Elnathan, Dinatu, Ronquillo, Ria, Kim, Roy, Alam, Zenith H., Mahadevan, Vaikom S., Fuller, Sophie G., Stalker, Grant W., Bravo, Sara A., Jean, Dina, Lee, John J., Gjergjindreaj, Medeona, Mihos, Christos G., Forman, Steven T., Venkatraman, Subramaniam, McCarthy, Patrick M., Thomas, James D.
Published in Journal of the American Heart Association (04.05.2021)

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Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis

by Salvador, Raymond, Radua, Joaquim, Canales-Rodríguez, Erick J., Solanes, Aleix, Sarró, Salvador, Goikolea, José M., Valiente, Alicia, Monté, Gemma C., Natividad, María del Carmen, Guerrero-Pedraza, Amalia, Moro, Noemí, Fernández-Corcuera, Paloma, Amann, Benedikt L., Maristany, Teresa, Vieta, Eduard, McKenna, Peter J., Pomarol-Clotet, Edith
Published in PloS one (20.04.2017)

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Validation pipeline for machine learning algorithm assessment for multiple vendors

by Bizzo, Bernardo C., Ebrahimian, Shadi, Walters, Mark E., Michalski, Mark H., Andriole, Katherine P., Dreyer, Keith J., Kalra, Mannudeep K., Alkasab, Tarik, Digumarthy, Subba R.
Published in PloS one (29.04.2022)

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Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules

by Pérez, Eduardo, Ventura, Sebastián
Published in Cancers (03.10.2021)

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Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept study

by Ruinelli, Lorenzo, Cippà, Pietro, Sieber, Chantal, Di Serio, Clelia, Ferrari, Paolo, Bellasi, Antonio
Published in PloS one (01.07.2025)

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Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms

by Zemariam, Alemu Birara, Abate, Biruk Beletew, Alamaw, Addis Wondmagegn, Lake, Eyob shitie, Yilak, Gizachew, Ayele, Mulat, Tilahun, Befkad Derese, Ngusie, Habtamu Setegn
Published in PloS one (24.01.2025)

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A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice

by Giannini, Heather M, Ginestra, Jennifer C, Chivers, Corey, Draugelis, Michael, Hanish, Asaf, Schweickert, William D, Fuchs, Barry D, Meadows, Laurie, Lynch, Michael, Donnelly, Patrick J, Pavan, Kimberly, Fishman, Neil O, Hanson, 3rd, C William, Umscheid, Craig A
Published in Critical care medicine (01.11.2019)

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Developing Nurse‐Accessible Hypertension Prediction Tools for Low‐Income Populations: A Comparative Analysis of Machine Learning Algorithms With SHAP Interpretation

by Huang, Chuan, Xu, Jiaojiao, Qiu, Hai, Yue, Yuchuan
Published in International journal of nursing practice (01.10.2025)

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BiLSTM-ANN: early diagnosis of Alzheimer’s disease using hybrid deep learning algorithms

by Matlani, Princy
Published in Multimedia tools and applications (01.06.2024)

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Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data

by Gsaxner, Christina, Roth, Peter M., Wallner, Jürgen, Egger, Jan
Published in PloS one (05.03.2019)

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Deep transfer learning algorithms applied to synthetic drawing images as a tool for supporting Alzheimer’s disease prediction

by Cilia, Nicole D., D’Alessandro, Tiziana, De Stefano, Claudio, Fontanella, Francesco
Published in Machine vision and applications (01.05.2022)

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Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm

by Huo, Jiayan, Quan, Stuart F., Roveda, Janet, Li, Ao
Published in PloS one (06.04.2023)

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Predicting second breast cancer among women with primary breast cancer using machine learning algorithms, a population‐based observational study

by Syleouni, Maria‐Eleni, Karavasiloglou, Nena, Manduchi, Laura, Wanner, Miriam, Korol, Dimitri, Ortelli, Laura, Bordoni, Andrea, Rohrmann, Sabine
Published in International journal of cancer (01.09.2023)

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Diagnosing COVID-19 pneumonia from x-ray and CT images using deep learning and transfer learning algorithms

by Maghdid, Halgurd S, Asaad, Aras T, Ghafoor, Kayhan Zrar, Sadiq, Ali Safaa, Mirjalili, Seyedali, Khan, Muhammad Khurram
Published in Multimodal Image Exploitation and Learning 2021 (12.04.2021)

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Conference Proceeding

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MISTIC: A prediction tool to reveal disease-relevant deleterious missense variants

by Chennen, Kirsley, Weber, Thomas, Lornage, Xavière, Kress, Arnaud, Böhm, Johann, Thompson, Julie, Laporte, Jocelyn, Poch, Olivier
Published in PloS one (31.07.2020)

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The SMART Framework: Selection of Machine Learning Algorithms With ReplicaTions-A Case Study on the Microvascular Complications of Diabetes

by Swan, Breanna P., Mayorga, Maria E., Ivy, Julie S.
Published in IEEE journal of biomedical and health informatics (01.02.2022)

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Value of laboratory results in addition to vital signs in a machine learning algorithm to predict in-hospital cardiac arrest: A single-center retrospective cohort study

by Ueno, Ryo, Xu, Liyuan, Uegami, Wataru, Matsui, Hiroki, Okui, Jun, Hayashi, Hiroshi, Miyajima, Toru, Hayashi, Yoshiro, Pilcher, David, Jones, Daryl
Published in PLOS ONE (13.07.2020)

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The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews

by Silva, Helbert Eustáquio Cardoso da, Santos, Glaucia Nize Martins, Leite, André Ferreira, Mesquita, Carla Ruffeil Moreira, Figueiredo, Paulo Tadeu de Souza, Stefani, Cristine Miron, de Melo, Nilce Santos
Published in PloS one (05.10.2023)

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