Search Results - "Predictive algorithm"

Development and validation of primary graft dysfunction predictive algorithm for lung transplant candidates by Diamond, Joshua M, Anderson, Michaela R, Cantu, Edward, Clausen, Emily S, Shashaty, Michael G S, Kalman, Laurel, Oyster, Michelle, Crespo, Maria M, Bermudez, Christian A, Benvenuto, Luke, Palmer, Scott M, Snyder, Laurie D, Hartwig, Matthew G, Wille, Keith, Hage, Chadi, McDyer, John F, Merlo, Christian A, Shah, Pali D, Orens, Jonathan B, Dhillon, Ghundeep S, Lama, Vibha N, Patel, Mrunal G, Singer, Jonathan P, Hachem, Ramsey R, Michelson, Andrew P, Hsu, Jesse, Russell Localio, A, Christie, Jason D

“… We derived a predictive model in a prospective cohort study of subjects from 2012 to 2018, followed by a single-center external validation…”
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A predictive algorithm for maximum power point tracking in solar photovoltaic systems through load management by Tan, Kelvin, Parquette, William J., Tao, Meng

“…•A predictive algorithm for MPPT in load-matching PV systems is demonstrated.•The algorithm allows PV systems to perform MPPT without a power converter…”
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Strong Predictive Algorithm of Pathogenesis-Based Biomarkers Improves Parkinson’s Disease Diagnosis by Chan, Daniel Kam Yin, Braidy, Nady, Chen, Ren Fen, Xu, Ying Hua, Bentley, Steven, Lubomski, Michal, Davis, Ryan L., Chen, Jack, Sue, Carolyn M., Mellick, George D.

“…Easily accessible and accurate biomarkers can aid Parkinson’s disease diagnosis. We investigated whether combining plasma levels of α-synuclein,…”
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Utilizing electronic health record pre-consultation data to create a predictive algorithm for diagnosis of chronic pediatric rheumatic conditions by Lauer, Kendra R., Driest, Kyla, Pratt, Laura R., Taxter, Alysha

“…Objectives To develop a predictive algorithm for diagnosing chronic pediatric rheumatic conditions using patient-reported, historical, and referral data in the electronic health record (EHR…”
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Predictive Algorithm for Team Mental Model Convergence by Poozhithara, Jeffy Jahfar, Kennedy, Deanna M., Onstot, Spencer, Januskeviciute, Agne, Cekrezi, Marjanthi

“…Is everyone on your team on the same page about the task? This is a question team leaders want to know. Herein, we take an approach that can help managers move…”
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A predictive algorithm using clinical and laboratory parameters may assist in ruling out and in diagnosing MDS by Oster, Howard S., Crouch, Simon, Smith, Alexandra, Yu, Ge, Abu Shrkihe, Bander, Baruch, Shoham, Kolomansky, Albert, Ben-Ezra, Jonathan, Naor, Shachar, Fenaux, Pierre, Symeonidis, Argiris, Stauder, Reinhard, Cermak, Jaroslav, Sanz, Guillermo, Hellström-Lindberg, Eva, Malcovati, Luca, Langemeijer, Saskia, Germing, Ulrich, Holm, Mette Skov, Madry, Krzysztof, Guerci-Bresler, Agnes, Culligan, Dominic, Sanhes, Laurence, Mills, Juliet, Kotsianidis, Ioannis, van Marrewijk, Corine, Bowen, David, de Witte, Theo, Mittelman, Moshe

“…We present a noninvasive Web-based app to help exclude or diagnose myelodysplastic syndrome (MDS), a bone marrow (BM) disorder with cytopenias and leukemic…”
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A novel wheeled mobile robots control based on robust hybrid controller: Mixed H2/H∞ and predictive algorithm approach by Sibang Liu, Kuili Liu, Zhen Zhong, Jinghan Yi, Hamdulah Aliev

“… This paper proposes a new strategy of path tracking for a non-holonomic mobile robot subject to kinematic disturbances using model prediction control and H2/H…”
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Observational study to calculate addictive risk to opioids: a validation study of a predictive algorithm to evaluate opioid use disorder by Brenton, Ashley, Richeimer, Steven, Sharma, Maneesh, Lee, Chee, Kantorovich, Svetlana, Blanchard, John, Meshkin, Brian

“… In a validation study with 258 subjects with diagnosed opioid use disorder (OUD) and 650 controls who reported using opioids, the POR successfully categorized patients at high and moderate risks of opioid misuse or abuse…”
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Observational study to calculate addictive risk to opioids: a validation study of a predictive algorithm to evaluate opioid use disorder by Brenton, Ashley, Richeimer, Steven, Sharma, Maneesh, Lee, Chee, Kantorovich, Svetlana, Blanchard, John, Meshkin, Brian

“… In a validation study with 258 subjects with diagnosed opioid use disorder (OUD) and 650 controls who reported using opioids, the POR successfully categorized patients at high and moderate…”
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Application of a Transition Graph-Based Predictive Algorithm to a Solar Air Conditioning Plant by Zambrano, D, Garcia-Gabin, W, Camacho, E F

“…This brief presents the development of a transition graph-based predictive algorithm and its application to a solar air conditioning plant…”
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Predictors of perioperative complications in paediatric cranial vault reconstruction surgery: a multicentre observational study from the Pediatric Craniofacial Collaborative Group by Goobie, S M, Zurakowski, D, Isaac, K V, Taicher, B M, Fernandez, P G, Derderian, C K, Hetmaniuk, M, Stricker, P A

“… The Pediatric Craniofacial Surgery Perioperative Registry was queried for subjects undergoing complex cranial vault reconstruction surgery over a 5-year period…”
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Incorporating Prior Information in Adaptive Model Predictive Control for Multivariable Artificial Pancreas Systems by Sun, Xiaoyu, Rashid, Mudassir, Hobbs, Nicole, Brandt, Rachel, Askari, Mohammad Reza, Cinar, Ali

“…Adaptive model predictive control (MPC) algorithms that recursively update the glucose prediction model are shown to be promising in the development of fully…”
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Utility of Predictive Algorithm in HLA Haplotypes Construction and it's Validation by Al Hudhili, Iman Hamed Abdullah

“…Introduction:Variation in Human leukocytes antigen (HLA) alleles and haplotypes distribution in a population are helpful for the analysis of the origin,…”
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Baseline Values of the Compensatory Reserve Index in a Healthy Pediatric Population by Rodriguez, Salvador A., Morgan, Gareth J., Lara, Claudia, Zablah, Jenny E.

“…The objective of this study is to describe the compensatory reserve index (CRI) baseline values in a healthy cohort of healthy pediatric patients and evaluate…”
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The Compensatory Reserve Index Responds to Acute Hemodynamic Changes in Patients with Congenital Heart Disease: A Proof of Concept Study by Ehrmann, Daniel E., Leopold, David K., Phillips, Ryan, Shahi, Niti, Campbell, Kristen, Ross, Michael, Zablah, Jenny E., Moulton, Steven L., Morgan, Gareth, Kim, John S.

“… Predictive algorithms that utilize dense physiologic data may be useful. The compensatory reserve index (CRI…”
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Neuropsychological Test Performance to Enhance Identification of Subjects at Clinical High Risk for Psychosis and to Be Most Promising for Predictive Algorithms for Conversion to Psychosis: A Meta-Analysis by Hauser, Marta, Zhang, Jian-Ping, Sheridan, Eva M, Burdick, Katherine E, Mogil, Rachel, Kane, John M, Auther, Andrea, Carrión, Ricardo E, Cornblatt, Barbara A, Correll, Christoph U

“…), or subjects with first-episode psychosis (FEP). Systematic PubMed/MEDLINE search through January 2014, without language restrictions, using search terms prodrome OR clinical high-risk OR ultra-high risk AND cognition OR individual test names…”
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Predictive algorithms for early detection of retinopathy of prematurity by Piermarocchi, Stefano, Bini, Silvia, Martini, Ferdinando, Berton, Marianna, Lavini, Anna, Gusson, Elena, Marchini, Giorgio, Padovani, Ezio Maria, Macor, Sara, Pignatto, Silvia, Lanzetta, Paolo, Cattarossi, Luigi, Baraldi, Eugenio, Lago, Paola

“…Purpose To evaluate sensitivity, specificity and the safest cut‐offs of three predictive algorithms…”
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Use of artificial intelligence to develop predictive algorithms of cough and PCR-confirmed COVID-19 infections based on inputs from clinical-grade wearable sensors by Walter, Jessica R., Lee, Jong Yoon, Yu, Lian, Kim, Brandon, Martell, Knute, Opdycke, Anita, Scheffel, Jenny, Felsl, Ingrid, Patel, Soham, Rangel, Stephanie, Serao, Alexa, Edel, Claire, Bharat, Ankit, Xu, Shuai

“…) cough detection and (2) early detection of COVID-19, through the retrospective analysis of prospectively collected physiological data from longitudinal wear of ANNE sensors in a multicenter single arm study of subjects…”
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The validity of the Strengths and Difficulties Questionnaire (SDQ) for children with ADHD symptoms by Hall, Charlotte L., Guo, Boliang, Valentine, Althea Z., Groom, Madeline J., Daley, David, Sayal, Kapil, Hollis, Chris

“… However, the factor structure of the SDQ is subject to debate and there is limited evidence investigating measurement equivalence invariance (ME…”
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Impact of the measurement uncertainty on the monitoring of thermal comfort through AI predictive algorithms by Morresi, Nicole, Casaccia, Sara, Arnesano, Marco, Revel, Gian Marco

“… %, suggesting that the uncertainty can be generalized among different subjects. Secondly, MCM is applied by perturbing the input…”
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