Search Results - "Machine Learning Classification Algorithms"

Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys by Ferri-García, Ramón, Rueda, María del Mar

“…Modern survey methods may be subject to non-observable bias, from various sources…”
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Breast cancer prediction using machine learning classification algorithms by La Moglia, Alan, Mohamad Almustafa, Khaled

“… 70 % accurate, leading to potential misdiagnosis. Biopsies, though more reliable, are subject to human error and conflicting specialist opinions, often requiring multiple biopsies…”
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Predicting tree survival in agroforestry systems using machine learning classification algorithms by Kravtsov, Kirill, Kukartsev, Vladislav, Stepanova, Elina, Soloveva, Tatiana

“… Forests play a key role in maintaining ecological balance and biodiversity, but their survival is subject to many threats, including climate change, anthropogenic impacts, diseases and pests…”
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Leveraging Explainable Artificial Intelligence (XAI) for Expert Interpretability in Predicting Rapid Kidney Enlargement Risks in Autosomal Dominant Polycystic Kidney Disease (ADPKD) by Dwiyanti, Latifa, Nambo, Hidetaka, Hamid, Nur

“…Autosomal dominant polycystic kidney disease (ADPKD) is the predominant hereditary factor leading to end-stage renal disease (ESRD) worldwide, affecting…”
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Detecting the Most Important Classes from Software Systems with Self Organizing Maps by Manole, E.-M.

“…Self Organizing Maps (SOM) are unsupervised neural networks suited for visualisation purposes and clustering analysis. This study uses SOM to solve a software…”
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Touch Analysis: An Empirical Evaluation of Machine Learning Classification Algorithms on Touch Data by Montgomery, Melodee, Chatterjee, Prosenjit, Jenkins, John, Kaushik, Roy

“…s. In this research, we use Touch-Analytics datasets, which include 41 subjects and 30 different behavioral features…”
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Survival prediction models: an introduction to discrete-time modeling by Suresh, Krithika, Severn, Cameron, Ghosh, Debashis

“… These models can take advantage of the range of nonparametric machine learning classification algorithms and their available software to predict…”
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Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features by Zheng, Xiaowei, Wang, Bozhi, Liu, Hao, Wu, Wencan, Sun, Jiamin, Fang, Wei, Jiang, Rundong, Hu, Yajie, Jin, Cheng, Wei, Xin, Chen, Steve Shyh-Ching

“… Next, the supervised machine learning classification algorithms of decision trees, random forests, and support vector…”
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Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks by Fernando, K. Ruwani M., Tsokos, Chris P.

“… Many conventional statistical and machine learning classification algorithms are subject to frequency bias, and learning discriminating boundaries between the minority and majority classes could be challenging…”
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Using Natural Language Processing to Identify Stigmatizing Language in Labor and Birth Clinical Notes by Barcelona, Veronica, Scharp, Danielle, Moen, Hans, Davoudi, Anahita, Idnay, Betina R., Cato, Kenrick, Topaz, Maxim

“… We then employed text preprocessing techniques, specifically using TF-IDF values as inputs, and tested machine learning classification algorithms to identify…”
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Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities by Quatrini, Elena, Costantino, Francesco, Di Gravio, Giulio, Patriarca, Riccardo

“… This paper proposes a two-steps methodology for anomaly detection in industrial processes, adopting machine learning classification algorithms…”
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Multivariate analysis of water quality parameters in Lake Palic, Serbia by Horvat, Mirjana, Horvat, Zoltan, Pastor, Kristian

“…This study presents a comprehensive investigation of water quality parameters in the fourth sector of Lake Palic in Serbia, which has a regional strategic…”
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Machine learning model comparison for freezing of gait prediction in advanced Parkinson’s disease by Watts, Jeremy, Niethammer, Martin, Khojandi, Anahita, Ramdhani, Ritesh

“… Each patient performed two SAW trials in their OFF Medication-OFF DBS state. For each trial, gait summary statistics from wearable sensors were analyzed by machine learning classification algorithms…”
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Development and validation of a novel protein-ligand fingerprint to mine chemogenomic space: application to G protein-coupled receptors and their ligands by Weill, Nathanael, Rognan, Didier

“… Several machine learning classification algorithms were trained on two sets of roughly 200000 receptor…”
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Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia by Lage, Carmen, López-García, Sara, Bejanin, Alexandre, Kazimierczak, Martha, Aracil-Bolaños, Ignacio, Calvo-Córdoba, Alberto, Pozueta, Ana, García-Martínez, María, Fernández-Rodríguez, Andrea, Bravo-González, María, Jiménez-Bonilla, Julio, Banzo, Ignacio, Irure-Ventura, Juan, Pegueroles, Jordi, Illán-Gala, Ignacio, Fortea, Juan, Rodríguez-Rodríguez, Eloy, Lleó-Bisa, Alberto, García-Cena, Cecilia E., Sánchez-Juan, Pascual

“… Machine-learning classification algorithms were trained for the differentiation between Alzheimer's disease…”
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Machine Learning Decision Tree Models for Differentiation of Posterior Fossa Tumors Using Diffusion Histogram Analysis and Structural MRI Findings by Payabvash, Seyedmehdi, Aboian, Mariam, Tihan, Tarik, Cha, Soonmee

“… We also compared different machine learning classification algorithms (i.e., naïve Bayes, random forest, neural networks, support vector machine with linear and polynomial kernel…”
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A rule extraction approach from support vector machines for diagnosing hypertension among diabetics by Singh, Namrata, Singh, Pradeep, Bhagat, Deepika

“…•Classification of datasets on diabetes and its complications are considered.•Five feature selection algorithms are utilized for choosing significant…”
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Where should the thermal image sensor of a smart A/C look?-Occupant thermal sensation model based on thermal imaging data by Lyu, Junmeng, Du, Heng, Zhao, Zisheng, Shi, Yongxiang, Wang, Bo, Lian, Zhiwei

“…, and hand dorsum of 27 subjects in this study. By applying machine learning classification algorithms and global optimal regression algorithms, the temperature collection zones that can accurately reflect the thermal sensation of both genders…”
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Comparing Machine Learning Classifiers and Linear/Logistic Regression to Explore the Relationship between Hand Dimensions and Demographic Characteristics by Miguel-Hurtado, Oscar, Guest, Richard, Stevenage, Sarah V., Neil, Greg J., Black, Sue

“… features underpinning this relationship. Our results show that we are able to predict sex, height, weight and foot size accurately within various data-range bin sizes, with machine learning classification algorithms out-performing linear…”
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Wireless sEMG Sensor for Neck Muscle Activity Measurement and Posture Classification using Machine Learning by Dandumahanti, Bhanu Priya, Subramaniyam, Murali

“…% for the developed system. An experimental trial was performed on 30 subjects by measuring muscle activity on two neck muscles…”
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