Search Results - "rule-based algorithms"

Identifying lupus patients in electronic health records: Development and validation of machine learning algorithms and application of rule-based algorithms by Jorge, April, Castro, Victor M., Barnado, April, Gainer, Vivian, Hong, Chuan, Cai, Tianxi, Cai, Tianrun, Carroll, Robert, Denny, Joshua C., Crofford, Leslie, Costenbader, Karen H., Liao, Katherine P., Karlson, Elizabeth W., Feldman, Candace H.

“… We used machine learning to generate data-driven SLE EHR algorithms and assessed performance of existing rule-based algorithms…”
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A study of seven rule-based algorithms for the interpretation of HIV-1 genotypic resistance data in Thailand by Poonpiriya, Vongsakorn, Sungkanuparph, Somnuek, Leechanachai, Pranee, Pasomsub, Ekawat, Watitpun, Chotip, Chunhakan, Sirichan, Chantratita, Wasun

“… In this retrospective study, the level of agreement was evaluated in 721 antiretroviral-therapy failing HIV-1 subjects…”
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Dynamic Rule-Based Algorithm to Tune Insulin-on-Board Constraints for a Hybrid Artificial Pancreas System by Vehí, Josep, Beneyto, Aleix, Biagi, Lyvia, Bertachi, Arthur

“… In this work, a new method, so-called “dynamic rule-based algorithm,” is presented in order to adjust the limits of IOB in real time…”
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A decision support system and rule-based algorithm to augment the human interpretation of the 12-lead electrocardiogram by Cairns, Andrew W., Bond, Raymond R., Finlay, Dewar D., Guldenring, Daniel, Badilini, Fabio, Libretti, Guido, Peace, Aaron J., Leslie, Stephen J.

“…The 12-lead Electrocardiogram (ECG) has been used to detect cardiac abnormalities in the same format for more than 70years. However, due to the complex nature…”
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Trainable rule-based algorithm for the measurement of joint space width in digital radiographic images of the knee by Duryea, J., Li, J., Peterfy, C. G., Gordon, C., Genant, H. K.

“…) from 18 normal (nonarthritic) subjects and 38 images from 10 subjects with OA. These were digitized and manually cropped so that the images were free…”
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Automated Recognition of Visual Acuity Measurements in Ophthalmology Clinical Notes Using Deep Learning by Bernstein, Isaac A., Koornwinder, Abigail, Hwang, Hannah H., Wang, Sophia Y.

“…) as unstructured free-text notes, making it challenging to use in research. This study aimed to improve on existing rule-based algorithms by developing and evaluating deep…”
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A rule-based energy management scheme for long-term optimal capacity planning of grid-independent microgrid optimized by multi-objective grasshopper optimization algorithm by Bukar, Abba Lawan, Tan, Chee Wei, Yiew, Lau Kwan, Ayop, Razman, Tan, Wen-Shan

“…•A nature-inspired driven approach is proposed to optimally design off-grid microgrid.•Development of a rule-based energy management scheme based on queuing…”
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Interpretable Rule Mining for Real-Time ECG Anomaly Detection in IoT Edge Sensors by Sivapalan, Gawsalyan, Nundy, Koushik Kumar, James, Alex, Cardiff, Barry, John, Deepu

“…Electrocardiogram (ECG) analysis is widely used in the diagnosis of cardiovascular diseases. This paper proposes an explainable rule-mining strategy for…”
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An Individual-oriented Algorithm for Stress Detection in Wearable Sensor Measurements by Moser, Martin Karl, Resch, Bernd, Ehrhart, Maximilian

“…Accurately measuring a person's level of stress can have a wide variety of impacts, not only for human health, but also for the perceived feeling of safety…”
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Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications by Rjoob, Khaled, Bond, Raymond, Finlay, Dewar, McGilligan, Victoria, Leslie, Stephen J., Rababah, Ali, Iftikhar, Aleeha, Guldenring, Daniel, Knoery, Charles, McShane, Anne, Peace, Aaron, Macfarlane, Peter W.

“…The application of artificial intelligence to interpret the electrocardiogram (ECG) has predominantly included the use of knowledge engineered rule-based algorithms which have become widely used today in clinical practice…”
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Hybrid Simulated Annealing and Genetic Algorithm for Optimization of a Rule-based Algorithm for Detection of Gait Events in Impaired Subjects by Perez-Ibarra, Juan C., Siqueira, Adriano A. G., Terra, Marco H., Krebs, Hermano I.

“… Most of the existing algorithms use a rule-based approach that takes advantage of the consistency of the gait cycle among healthy subjects…”
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Comparison of a rule-based algorithm with a phenotype-based algorithm for the interpretation of HIV genotypes in guiding salvage regimens in HIV-infected patients by a randomized clinical trial: the mutations and salvage study by Gianotti, Nicola, Mondino, Vincenzo, Rossi, Maria Cristina, Chiesa, Elisabetta, Mezzaroma, Ivano, Ladisa, Nicoletta, Guaraldi, Giovanni, Torti, Carlo, Tarquini, Pierluigi, Castelli, Paula, Di Carlo, Aldo, Boeri, Enzo, Keulen, Wilco, Kenna, Paula Mc, Lazzarin, Adriano

“… A total of 318 subjects with HIV RNA levels of >1000 copies/mL were enrolled in 41 centers throughout Italy from 2001 through 2003, stratified on the basis of their drug history, randomized (1:1…”
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An explainable algorithm for detecting drug-induced QT-prolongation at risk of torsades de pointes (TdP) regardless of heart rate and T-wave morphology by Alahmadi, Alaa, Davies, Alan, Royle, Jennifer, Goodwin, Leanna, Cresswell, Katharine, Arain, Zahra, Vigo, Markel, Jay, Caroline

“…Torsade de points (TdP), a life-threatening arrhythmia that can increase the risk of sudden cardiac death, is associated with drug-induced QT-interval…”
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Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning by D’Anniballe, Vincent M., Tushar, Fakrul Islam, Faryna, Khrystyna, Han, Songyue, Mazurowski, Maciej A., Rubin, Geoffrey D., Lo, Joseph Y.

“… the need for human annotation. Methods We used a dictionary approach to develop rule-based algorithms (RBA…”
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Hybrid Method Combining Learning Machine and Rule-Based Algorithm for Activity Recognition of Endotracheal Suctioning; and Attempt of Data Augmentation Using Generative AI by Shuzo, Masaki, Sakai, Motoki

“… In this competition, 22 subjects’ datasets were distributed, and participants had to recognize…”
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A real-time walking pattern recognition method for soft knee power assist wear by Wang, Wenkang, Zhang, Liancun, Liu, Juan, Zhang, Bainan, Huang, Qiang

“… To evaluate the recognition performance, 18 subjects are recruited in the experiments. During the experiments, subjects wear the knee power assist wear and carry out a series of walking activities in an out-of-lab scenario. The results show that the average recognition accuracy of three walking patterns reaches 98.2%, and the average recognition delay of all transitions is slightly less than one step…”
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Classification of Photoplethysmographic Signal Quality with Deep Convolution Neural Networks for Accurate Measurement of Cardiac Stroke Volume by Liu, Shing-Hong, Li, Ren-Xuan, Wang, Jia-Jung, Chen, Wenxi, Su, Chun-Hung

“… Although several rule-based algorithms have been developed for evaluating the quality of PPG signals, few artificial intelligence-based algorithms have been presented…”
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Automatic depersonalization of confidential information by Babak, N G., Belorybkin, L. Yu, Otsokov, S. A., Terenin, A. T., Shabrova, A. I.

“… One approach to the protection of confidential data is to depersonalize it, i.e., to transform it so that it becomes impossible to identify the specific subject to whom the data belongs…”
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Diagnosing predated tags in telemetry survival studies of migratory fishes in river systems by Buchanan, Rebecca A., Whitlock, Steven L.

“… Past studies have employed a variety of data-filtering techniques to address the issue, ranging from rule-based algorithms that rely on expert judgements of behavior and movement capabilities…”
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Leveraging mBERT with Rule-Driven Pre-Processing for Domain-Specific Karakalpak Text Classification by Abdurakhmonova, Nilufar, Sayfullaeva, Rano, Shirinova, Raima

“…The article presents a hybrid approach to classifying texts in the Karakalpak language in four subject areas - housing and communal services, electric power industry, law and economics…”
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