Search Results - "predictive algorithm"

101 Predictive Model for Aiding in Early Common Variable Immunodeficiency Diagnosis by Alsaati, Nouf, Penney, Chris, Helbig, Ingo, Sullivan, Kathleen

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Predictors of Occupational Adaptation in Individuals With Parkinson’s Disease by Haj Ghani, Jafar, Taghizadeh, Ghorban, Azad, Akram, Habibi, Seyed Amir Hasan

“…Importance: This assessment is essential for preserving independence, enhancing the quality of life, and promoting well-being through engagement in meaningful…”
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A Comparative Study between Bayesian Network and hybrid Statistical Predictive models for Proactive Power System Network Resilience Enhancement Operational Planning by Omogoye, Samuel O., Folly, Komla A., Awodele, Kehinde O.

“…Enhancing the operational resilience of the distribution system network (DSN) proactively in a hurricane-prone region requires a pre-hurricane event DSN…”
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Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models by Andaur Navarro, Constanza L., Damen, Johanna A.A., van Smeden, Maarten, Takada, Toshihiko, Nijman, Steven W.J., Dhiman, Paula, Ma, Jie, Collins, Gary S., Bajpai, Ram, Riley, Richard D., Moons, Karel G.M., Hooft, Lotty

“…We sought to summarize the study design, modelling strategies, and performance measures reported in studies on clinical prediction models developed using…”
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A review on machine learning algorithms to predict daylighting inside buildings by Ayoub, Mohammed

“…•A brief introduction on white-box and black-box approaches is provided.•Prior reviews on predicting building performance by machine learning are…”
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BS72 Accuracy of machine learning techniques to predict stress echocardiography results using clinical variables by Ihekwaba, Ugochukwu, Bennasar, Mohamed, Johnson, Nicholas, Price, Blaine, Oke, Jason, Khoo, Jeffery, Squire, Iain, Kardos, Attila

“…BackgroundStress echocardiography is a well-established diagnostic prognostic modality with good predictive power in patient with suspected coronary artery…”
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Photovoltaic Maximum Power Point Tracking Technology Based on Power Prediction Algorithm Combined with Variable Step Length Disturbance Observation Method by Xu, Zhiwei, Wang, Bin, Xiang, Kexian, Li, Xianguo, Liu, Wantai

“…Under partial shading conditions, the system operating sequence of photovoltaic cells does not fall on a single characteristic curve, and the traditional…”
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Beyond the Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability by Zhang, Chao, Zhao, Kai, Chen, Meng

“…Urban human mobility prediction is forecasting how people move in cities. It is crucial for many smart city applications including route optimization,…”
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A predictive model for identification of pediatric individuals with common variable immunodeficiency through electronic medical records by Alsaati, Nouf, Penney, Chris, Helbig, Ingo, Sullivan, Kathleen E.

“…[Display omitted] Common variable immunodeficiency (CVID) is characterized by recurrent sinopulmonary infections. However, in the pediatric population,…”
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A multimodal approach to depression diagnosis: insights from machine learning algorithm development in primary care by Eder, Julia, Dong, Mark Sen, Wöhler, Melanie, Simon, Maria S., Glocker, Catherine, Pfeiffer, Lisa, Gaus, Richard, Wolf, Johannes, Mestan, Kadir, Krcmar, Helmut, Koutsouleris, Nikolaos, Schneider, Antonius, Gensichen, Jochen, Musil, Richard, Falkai, Peter

“…General practitioners play an essential role in identifying depression and are often the first point of contact for patients. Current diagnostic tools, such as…”
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Predictability of real temporal networks by Tang, Disheng, Du, Wenbo, Shekhtman, Louis, Wang, Yijie, Havlin, Shlomo, Cao, Xianbin, Yan, Gang

“…Abstract Links in most real networks often change over time. Such temporality of links encodes the ordering and causality of interactions between nodes and has…”
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Predicting Taxi and Uber Demand in Cities: Approaching the Limit of Predictability by Zhao, Kai, Khryashchev, Denis, Vo, Huy

“…Time series prediction has wide applications ranging from stock price prediction, product demand estimation to economic forecasting. In this article, we treat…”
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Artificial intelligence to optimize water consumption in agriculture: A predictive algorithm-based irrigation management system by Preite, Luca, Vignali, Giuseppe

“…•Artificial intelligence application to optimize water consumption in agriculture.•Three-layer architecture based on LoRaWAN and machine learning…”
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A Simplified Novel Algorithm to Predict the 21-Gene Recurrence Score by Sughayer, Maher A, Maraqa, Bayan, Qura'an, Batool, Alsughayer, Ahmad, Abdel-Razeq, Hikmat

“…The 21-gene recurrence score (Oncotype DX) guides adjuvant chemotherapy decisions in early-stage estrogen receptor (ER)-positive, human epidermal growth factor…”
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Under water motion tracking and monitoring using wireless sensor network and Machine learning by Gite, Pratik, Shrivastava, Anurag, Murali Krishna, K., Kusumadevi, G.H., Dilip, R., Manohar Potdar, Ravindra

“…Wireless Sensor Networks (WSNs) plays an indispensable role in different application and development in new generation technology. In 5G technology, one of the…”
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Semantic-Region Aware Model Predictive Trajectory Tracking in Automated Guided Vehicles by Chaudhuri, Rapti, Deb, Suman

“…Autonomous routing through curved path for point-to-point mobile robot is a well-established challenging problem in the area of intelligent path navigation…”
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Deadbeat Predictive Algorithm-Based Back EMF Observer for Sensorless Control of PMSM Drives by An, Quntao, Zhao, Mengji, Ma, Teng, Wu, Youtong

“…To improve the sensorless control performance of surface-mounted permanent magnet synchronous machine (SPMSM), this article proposes a back EMF observer based…”
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Predicting misdiagnosed adult-onset type 1 diabetes using machine learning by Cheheltani, Rabee, King, Nicholas, Lee, Suyin, North, Benjamin, Kovarik, Danny, Evans-Molina, Carmella, Leavitt, Nadejda, Dutta, Sanjoy

“…It is now understood that almost half of newly diagnosed cases of type 1 diabetes are adult-onset. However, type 1 and type 2 diabetes are difficult to…”
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Climatology of nutrient distributions in the South China Sea based on a large data set derived from a new algorithm by Du, Chuanjun, He, Ruoying, Liu, Zhiyu, Huang, Tao, Wang, Lifang, Yuan, Zhongwei, Xu, Yanping, Wang, Zhe, Dai, Minhan

“…•Analgorithm is developed to predict nutrient concentrations in the South China Sea.•Nutrient climatology is reconstructed based on ~ 5 million data…”
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Bile Is a Selective Elevator for Mucosal Mechanics and Transport by Hanio, Simon, Möllmert, Stephanie, Möckel, Conrad, Choudhury, Susobhan, Höpfel, Andreas I, Zorn, Theresa, Endres, Sebastian, Schlauersbach, Jonas, Scheller, Lena, Keßler, Christoph, Scherf-Clavel, Oliver, Bellstedt, Peter, Schubert, Ulrich S, Pöppler, Ann-Christin, Heinze, Katrin G, Guck, Jochen, Meinel, Lorenz

“…Mucus mechanically protects the intestinal epithelium and impacts the absorption of drugs, with a largely unknown role for bile. We explored the impacts of…”
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