Search Results - "predictive algorithms"

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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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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Efficient Model Predictive Algorithms for Tracking of Periodic Signals by Chu, Yun-Chung, Chen, Michael Z. Q.

“…This paper studies the design of efficient model predictive controllers for fast-sampling linear time-invariant systems subject to input constraints to track a set of periodic references…”
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From Predictive Algorithms to Automatic Generation of Anomalies by Mullainathan, Sendhil, Rambachan, Ashesh

“… We suggest anomalies can extract theoretical insights from black box predictive algorithms…”
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From Predictive Algorithms to Automatic Generation of Anomalies by Mullainathan, Sendhil, Rambachan, Ashesh

“… We suggest anomalies can extract theoretical insights from black box predictive algorithms…”
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Development of Predictive Algorithms for Electrical Stimulation Based Major Depressive Disorder Therapy by Al-Kaysi, Alaa Mohammed

“…Major depressive disorder (MDD) is a brain disorder that is characterised by negative thoughts, mood and behaviour. Transcranial direct current stimulation…”
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Autoimmune responses in T1DM: quantitative methods to understand onset, progression, and prevention of disease by Jaberi-Douraki, Majid, Liu, Shang Wan (Shalon), Pietropaolo, Massimo, Khadra, Anmar

“…‐specific autoantibodies that appear in high‐risk subjects (HRS) several years prior to the onset of diabetes‐related symptoms…”
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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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Metabolomics biomarkers to predict acamprosate treatment response in alcohol-dependent subjects by Hinton, David J., Vázquez, Marely Santiago, Geske, Jennifer R., Hitschfeld, Mario J., Ho, Ada M. C., Karpyak, Victor M., Biernacka, Joanna M., Choi, Doo-Sup

“…Precision medicine for alcohol use disorder (AUD) allows optimal treatment of the right patient with the right drug at the right time. Here, we generated…”
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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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Identification of naturally processed Zika virus peptides by mass spectrometry and validation of memory T cell recall responses in Zika convalescent subjects by Crooke, Stephen N., Ovsyannikova, Inna G., Kennedy, Richard B., Poland, Gregory A.

“…Once an obscure pathogen, Zika virus (ZIKV) has emerged as a significant global public health concern. Several studies have linked ZIKV infection in pregnant…”
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Gain-of-function Nav1.8 mutations in painful neuropathy by Faber, Catharina G, Lauria, Giuseppe, Merkies, Ingemar S J, Cheng, Xiaoyang, Han, Chongyang, Ahn, Hye-Sook, Persson, Anna-Karin, Hoeijmakers, Janneke G J, Gerrits, Monique M, Pierro, Tiziana, Lombardi, Raffaella, Kapetis, Dimos, Dib-Hajj, Sulayman D, Waxman, Stephen G

“… Three mutations met criteria for potential pathogenicity based on predictive algorithms and were assessed by voltage and current clamp…”
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Characterization of gut microbiota associated with metabolic syndrome and type-2 diabetes mellitus in Mexican pediatric subjects by Carrizales-Sánchez, Ana K., Tamez-Rivera, Oscar, Rodríguez-Gutiérrez, Nora A., Elizondo-Montemayor, Leticia, Gradilla-Hernández, Misael Sebastián, García-Rivas, Gerardo, Pacheco, Adriana, Senés-Guerrero, Carolina

“… The main objective of the present study was to characterize and compare gut bacteria of T2DM and MetS children against control subjects and determine which microorganisms might be potentially related…”
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