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Use of Machine Learning Algorithms Based on Text, Audio, and Video Data in the Prediction of Anxiety and Posttraumatic Stress in General and Clinical Populations: A Systematic Review

by Ciharova, Marketa, Amarti, Khadicha, van Breda, Ward, Peng, Xianhua, Lorente-Català, Rosa, Funk, Burkhardt, Hoogendoorn, Mark, Koutsouleris, Nikolaos, Fusar-Poli, Paolo, Karyotaki, Eirini, Cuijpers, Pim, Riper, Heleen
Published in Biological psychiatry (1969) (01.10.2024)

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Machine Learning Based Healthcare System for Investigating the Association Between Depression and Quality of Life

by Habib, Masood, Wang, Zhelong, Qiu, Sen, Zhao, Hongyu, Murthy, Aparna S.
Published in IEEE journal of biomedical and health informatics (01.05.2022)

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A Continuously Updated, Computationally Efficient Stress Recognition Framework Using Electroencephalogram (EEG) by Applying Online Multitask Learning Algorithms (OMTL)

by Jebelli, Houtan, Mahdi Khalili, Mohammad, Lee, SangHyun
Published in IEEE journal of biomedical and health informatics (01.09.2019)

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Locating Multiple Equivalent Feature Subsets in Feature Selection for Imbalanced Classification

by Han, Shoufei, Zhu, Kun, Zhou, MengChu, Alhumade, Hesham, Abusorrah, Abdullah
Published in IEEE transactions on knowledge and data engineering (01.09.2023)

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Multilayer weighted integrated self‐learning algorithm for automatic diagnosis of epileptic electroencephalogram signals

by Zhao, Jian, Zhao, Di, Shi, Lijuan, Kuang, Zhejun, Jing, Weipeng, Wang, Huihui
Published in Computational intelligence (01.02.2022)

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Leveraging Marine Predators Algorithm with Deep Learning for Lung and Colon Cancer Diagnosis

by Mengash, Hanan Abdullah, Alamgeer, Mohammad, Maashi, Mashael, Othman, Mahmoud, Hamza, Manar Ahmed, Ibrahim, Sara Saadeldeen, Zamani, Abu Sarwar, Yaseen, Ishfaq
Published in Cancers (03.03.2023)

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Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets

by Best, Myron G., Sol, Nik, In ‘t Veld, Sjors G.J.G., Vancura, Adrienne, Muller, Mirte, Niemeijer, Anna-Larissa N., Fejes, Aniko V., Tjon Kon Fat, Lee-Ann, Huis In ‘t Veld, Anna E., Leurs, Cyra, Le Large, Tessa Y., Meijer, Laura L., Kooi, Irsan E., Rustenburg, François, Schellen, Pepijn, Verschueren, Heleen, Post, Edward, Wedekind, Laurine E., Bracht, Jillian, Esenkbrink, Michelle, Wils, Leon, Favaro, Francesca, Schoonhoven, Jilian D., Tannous, Jihane, Meijers-Heijboer, Hanne, Kazemier, Geert, Giovannetti, Elisa, Reijneveld, Jaap C., Idema, Sander, Killestein, Joep, Heger, Michal, de Jager, Saskia C., Urbanus, Rolf T., Hoefer, Imo E., Pasterkamp, Gerard, Mannhalter, Christine, Gomez-Arroyo, Jose, Bogaard, Harm-Jan, Noske, David P., Vandertop, W. Peter, van den Broek, Daan, Ylstra, Bauke, Nilsson, R. Jonas A., Wesseling, Pieter, Karachaliou, Niki, Rosell, Rafael, Lee-Lewandrowski, Elizabeth, Lewandrowski, Kent B., Tannous, Bakhos A., de Langen, Adrianus J., Smit, Egbert F., van den Heuvel, Michel M., Wurdinger, Thomas
Published in Cancer cell (14.08.2017)

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Identification of different manifestations of nonlinear stick–slip phenomena during creep groan braking noise by using the unsupervised learning algorithms k-means and self-organizing map

by Prezelj, Jurij, Murovec, Jure, Huemer-Kals, Severin, Häsler, Karl, Fischer, Peter
Published in Mechanical systems and signal processing (01.03.2022)

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FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data—Study protocol of a multicenter trial

by Balogh, Dora B., Hudelist, Gernot, Bļizņuks, Dmitrijs, Raghothama, Jayanth, Becker, Christian M., Horace, Roman, Krentel, Harald, Horne, Andrew W., Bourdel, Nicolas, Marki, Gabriella, Tomassetti, Carla, Kirk, Ulrik Bak, Acs, Nandor, Bokor, Attila
Published in PloS one (09.05.2024)

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Semantic Inference on Clinical Documents: Combining Machine Learning Algorithms With an Inference Engine for Effective Clinical Diagnosis and Treatment

by Yang, Shuo, Wei, Ran, Guo, Jingzhi, Xu, Lida
Published in IEEE access (2017)

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Estimation of Left Ventricular Ejection Fraction Using Cardiovascular Hemodynamic Parameters and Pulse Morphological Characteristics with Machine Learning Algorithms

by Liu, Shing-Hong, Yang, Zhi-Kai, Pan, Kuo-Li, Zhu, Xin, Chen, Wenxi
Published in Nutrients (29.09.2022)

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Henry Gas Solubility Optimization Algorithm based Feature Extraction in Dermoscopic Images Analysis of Skin Cancer

by Obayya, Marwa, Alhebri, Adeeb, Maashi, Mashael, S. Salama, Ahmed, Mustafa Hilal, Anwer, Alsaid, Mohamed Ibrahim, Osman, Azza Elneil, Alneil, Amani A.
Published in Cancers (04.04.2023)

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Predicting suicide attempt or suicide death following a visit to psychiatric specialty care: A machine learning study using Swedish national registry data

by Chen, Qi, Zhang-James, Yanli, Barnett, Eric J., Lichtenstein, Paul, Jokinen, Jussi, D’Onofrio, Brian M., Faraone, Stephen V., Larsson, Henrik, Fazel, Seena
Published in PLoS medicine (06.11.2020)

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Mud Ring Optimization Algorithm with Deep Learning Model for Disease Diagnosis on ECG Monitoring System

by Alluhaidan, Ala Saleh, Maashi, Mashael, Arasi, Munya A., Salama, Ahmed S., Assiri, Mohammed, Alneil, Amani A.
Published in Sensors (Basel, Switzerland) (26.07.2023)

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Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases

Published in JAMA ophthalmology (01.10.2020)

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Using machine learning to predict suicide in the 30 days after discharge from psychiatric hospital in Denmark

by Jiang, Tammy, Rosellini, Anthony J., Horváth-Puhó, Erzsébet, Shiner, Brian, Street, Amy E., Lash, Timothy L., Sørensen, Henrik T., Gradus, Jaimie L.
Published in British journal of psychiatry (01.08.2021)

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Machine Learning and Image Processing Enabled Evolutionary Framework for Brain MRI Analysis for Alzheimer’s Disease Detection

by Kamal, Mustafa, Pratap, A. Raghuvira, Naved, Mohd, Zamani, Abu Sarwar, Nancy, P., Ritonga, Mahyudin, Shukla, Surendra Kumar, Sammy, F.
Published in Computational intelligence and neuroscience (2022)

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A novel machine learning-based prediction method for patients at risk of developing depressive symptoms using a small data

by Yun, Minyoung, Jeon, Minjeong, Yang, Heyoung
Published in PloS one (22.05.2024)

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Review of Deep Learning Algorithms and Architectures

by Shrestha, Ajay, Mahmood, Ausif
Published in IEEE access (01.01.2019)

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Machine learning based skin lesion segmentation method with novel borders and hair removal techniques

by Rehman, Mohibur, Ali, Mushtaq, Obayya, Marwa, Asghar, Junaid, Hussain, Lal, K. Nour, Mohamed, Negm, Noha, Mustafa Hilal, Anwer
Published in PloS one (10.11.2022)

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