Search Results - positive section algorithm and negative section algorithm*

Comparison of SP142 and 22C3 PD-L1 assays in a population-based cohort of triple-negative breast cancer patients in the context of their clinically established scoring algorithms by Sigurjonsdottir, Gudbjörg, De Marchi, Tommaso, Ehinger, Anna, Hartman, Johan, Bosch, Ana, Staaf, Johan, Killander, Fredrika, Niméus, Emma

“…Background Immunohistochemical (IHC) PD-L1 expression is commonly employed as predictive biomarker for checkpoint inhibitors in triple-negative breast cancer (TNBC…”
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A 1-h Combination Algorithm Allows Fast Rule-Out and Rule-In of Major Adverse Cardiac Events by Mokhtari, Arash, Borna, Catharina, Gilje, Patrik, Tydén, Patrik, Lindahl, Bertil, Nilsson, Hans-Jörgen, Khoshnood, Ardavan, Björk, Jonas, Ekelund, Ulf

“…A 1-h algorithm based on high-sensitivity cardiac troponin T (hs-cTnT) testing at presentation and again 1 h thereafter has been shown to accurately rule out acute myocardial infarction…”
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Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms by Fergus, Paul, Hussain, Abir, Al-Jumeily, Dhiya, Huang, De-Shuang, Bouguila, Nizar

“… However, inter- and intra-observer variability is high with only a 30% positive predictive value for the classification of pathological outcomes…”
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A deep‐learning algorithm to localize basal cell carcinoma foci on Mohs surgery frozen sections by Bonnefille, Hugo, Abbas, Marwan, Roger, Pascal, Habib, François, Masset, Farzaneh, Chaumont, Marc, Subsol, Gerard, Stoebner, Pierre E.

“…Previous studies applied deep learning to Mohs micrographic surgery (MMS) by developing algorithms able to classify digitized histopathology slides as BCC positive or negative…”
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Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana by Owusu, Frederick Osei, Addai-Manu, Helena, Agbedinu, Esther Serwah, Konadu, Emmanuel, Asenso, Lydia, Addae, Mercy, Osarfo, Joseph, Ampah, Brenda Abena, Opoku, Douglas Aninng

“…Background Machine learning algorithms may contribute to improving maternal and child health, including determining the suitability of caesarean section (CS…”
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Validation of the Hepatocellular Carcinoma Early Detection Screening (HES) Algorithm in a Cohort of Veterans With Cirrhosis by Tayob, Nabihah, Christie, Israel, Richardson, Peter, Feng, Ziding, White, Donna L, Davila, Jessica, Corley, Douglas A, Kanwal, Fasiha, El-Serag, Hashem B

“…). We previously developed and internally validated an HCC early detection screening (HES) algorithm that included patient's current level of AFP, rate of AFP change, age…”
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The general equation of δ direct methods and the novel SMAR algorithm residuals using the absolute value of ρ and the zero conversion of negative ripples by Rius, Jordi

“…), is used in the SMAR phasing algorithm [Rius (2020). Acta Cryst A76, 489–493]. It is shown that SMAR is based on the alternating minimization of the two residuals Rρ(χ) = ∫V [ρ(χ) − ρ(Φ)sρ]2 dV and Rδ(Φ) = ∫Vmρ[δM(χ) − ρ(Φ)sρ…”
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Performance of the European Society of Cardiology 0/1-Hour, 0/2-Hour, and 0/3-Hour Algorithms for Rapid Triage of Acute Myocardial Infarction : An International Collaborative Meta-analysis by Chiang, Cho-Han, Chiang, Cho-Hung, Pickering, John W, Stoyanov, Kiril M, Chew, Derek P, Neumann, Johannes T, Ojeda, Francisco, Sörensen, Nils A, Su, Ke-Ying, Kavsak, Peter, Worster, Andrew, Inoue, Kenji, Johannessen, Tonje R, Atar, Dan, Amann, Michael, Hochholzer, Willibald, Mokhtari, Arash, Ekelund, Ulf, Twerenbold, Raphael, Mueller, Christian, Bahrmann, Philipp, Buttinger, Nicolas, Dooley, Maureen, Ruangsomboon, Onlak, Nowak, Richard M, DeFilippi, Christopher R, Peacock, William F, Neilan, Tomas G, Liu, Michael A, Hsu, Wan-Ting, Lee, Gin Hoong, Tang, Pui-Un, Ma, Kevin Sheng-Kai, Westermann, Dirk, Blankenberg, Stefan, Giannitsis, Evangelos, Than, Martin P, Lee, Chien-Chang

“…The 2020 European Society of Cardiology (ESC) guidelines recommend using the 0/1-hour and 0/2-hour algorithms over the 0/3-hour algorithm as the first and second choices of high-sensitivity cardiac troponin (hs-cTn…”
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Extending the S-FFT direct-methods algorithm to density functions with positive and negative peaks. XIV by Rius, Jordi, Frontera, Carles

“…Some years ago the direct‐methods origin‐free modulus sum function (S) was adapted to the processing of intensity data from density functions with positive and negative peaks [Rius, Miravitlles & Allmann (1996). Acta Cryst. A52, 634–639…”
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2021 European Resuscitation Council/European Society of Intensive Care Medicine Algorithm for Prognostication of Poor Neurological Outcome After Cardiac Arrest-Can Entry Criteria Be Broadened? by Arctaedius, Isabelle, Levin, Helena, Larsson, Melker, Friberg, Hans, Cronberg, Tobias, Nielsen, Niklas, Moseby-Knappe, Marion, Lybeck, Anna

“…) algorithm for neuroprognostication including patients with ongoing sedation and Glasgow Coma Scale-Motor score (GCS-M) scores 4-5…”
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Synchrophasor based fault location algorithm for three terminal homogeneous transmission lines by Chegireddy, Purushotham Reddy, Bhimasingu, Ravikumar

“…•The proposed three terminal fault location algorithm utilizes the synchronized sequence component voltage and current data to estimate the faulted section along with fault location…”
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Evaluation of the diagnostic accuracy of the risk of ovarian malignancy algorithm in women with a pelvic mass by Moore, Richard G, Miller, M Craig, Disilvestro, Paul, Landrum, Lisa M, Gajewski, Walter, Ball, John J, Skates, Steven J

“… The sensitivity, specificity, negative predictive value, and positive predictive value of the Risk…”
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Development of a Real-time Force-based Algorithm for Infusion Failure Detection by Blanco, Luis E, Wilcox, John H, Hughes, Michael S, Lal, Rayhan A

“…Continuous subcutaneous insulin infusion (CSII) is a common treatment option for people with diabetes (PWD), but insulin infusion failures pose a significant…”
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Vertebral compression fractures at abdominal CT: underdiagnosis, undertreatment, and evaluation of an AI algorithm by Wiklund, Peder, Buchebner, David, Geijer, Mats

“… The purpose of the study was to evaluate a new artificial intelligence (AI) algorithm for the detection of VCFs and to assess the prevalence of reported and unreported VCFs…”
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Accurate Fault Location Algorithm for Untransposed Transmission Lines Based on Network Phasor Equations in Positive-, Negative-, and Zero-Sequences Domain During Fault by Abasi, Mahyar

“… Fault location in untransposed transmission lines is presented as a novel research piece by investigating the circuit equations of positive-negative-zero sequences and using synchronous voltage…”
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Contrast Challenge Algorithms for Adhesive Small Bowel Obstructions Are Safe in Children: A Multi-Institutional Study by Rubalcava, Nathan S, Bence, Christina M, Jensen, Amanda R, Minneci, Peter C, Van Arendonk, Kyle J, Mak, Grace, Rymeski, Beth A, Kohler, Jonathan E, Beyene, Tariku, Lim, Irene Isabel P, Hirschl, Ronald B, Speck, K Elizabeth

“…The purpose of this study was to evaluate the safety of a water-soluble contrast challenge as part of a nonoperative management algorithm in children with an adhesive small bowel obstruction (ASBO…”
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An algorithm for standardization of tumor Infiltrating lymphocyte evaluation in head and neck cancers by Xirou, Vasiliki, Moutafi, Myrto, Bai, Yalai, Nwe Aung, Thazin, Burela, Sneha, Liu, Matthew, Kimple, Randall J., Shabbir Ahmed, Fahad, Schultz, Bryant, Flieder, Douglas, Connolly, Denise C., Psyrri, Amanda, Burtness, Barbara, Rimm, David L.

“…•Standardized methodology for TIL assessment considering tumor microenvironment.•Independent prognostic value of TIL in HPV positive and negative HNSCC…”
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Improving the local and distortional resistance of CFS trapezoidal self-supporting roof members by Neves, Marcos, Basaglia, Cilmar, Camotim, Dinar, Araujo, Heitor

“…•Genetic Algorithm based on Generalised Beam Theory and Direct Strength Method.•Bending resistance against local and distortional failures optimally increased…”
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Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm by Andersson, Peder, Johnsson, Jesper, Björnsson, Ola, Cronberg, Tobias, Hassager, Christian, Zetterberg, Henrik, Stammet, Pascal, Undén, Johan, Kjaergaard, Jesper, Friberg, Hans, Blennow, Kaj, Lilja, Gisela, Wise, Matt P., Dankiewicz, Josef, Nielsen, Niklas, Frigyesi, Attila

“…Background Prognostication of neurological outcome in patients who remain comatose after cardiac arrest resuscitation is complex. Clinical variables, as well…”
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Handling Imbalanced Data in Road Crash Severity Prediction by Machine Learning Algorithms by Fiorentini, Nicholas, Losa, Massimo

“…Crash severity is undoubtedly a fundamental aspect of a crash event. Although machine learning algorithms for predicting crash severity have recently gained…”
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