Suchergebnisse - "algorithm development"

Electronic Health Record Algorithm Development for Research Subject Recruitment Using Colonoscopy Appointment Scheduling von Daly, Jeanette M, Parang, Kim, Levy, Barcey T

“… the algorithm for identifying potential subjects …”
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Disambiguating Clinical Abbreviations by One-to-All Classification: Algorithm Development and Validation Study von Sung, Sheng-Feng, Hu, Ya-Han, Chen, Chong-Yan

“… Electronic medical records store extensive patient data and serve as a comprehensive repository, including textual medical records like surgical and imaging …”
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Machine Learning Model to Predict Assignment of Therapy Homework in Behavioral Treatments: Algorithm Development and Validation von Peretz, Gal, Taylor, C Barr, Ruzek, Josef I, Jefroykin, Samuel, Sadeh-Sharvit, Shiri

“… Therapeutic homework is a core element of cognitive and behavioral interventions, and greater homework compliance predicts improved treatment outcomes. To …”
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Integrated Approach Using Intuitionistic Fuzzy Multicriteria Decision-Making to Support Classifier Selection for Technology Adoption in Patients with Parkinson Disease: Algorithm Development and Validation von Ortiz-Barrios, Miguel, Cleland, Ian, Donnelly, Mark, Gul, Muhammet, Yucesan, Melih, Jiménez-Delgado, Genett Isabel, Nugent, Chris, Madrid-Sierra, Stephany

“… Parkinson disease (PD) is reported to be among the most prevalent neurodegenerative diseases globally, presenting ongoing challenges and increasing burden on …”
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Multi-Channel Trans-Impedance Leadforming for Cardiopulmonary Monitoring: Algorithm Development and Feasibility Assessment Using In Vivo Animal Data von Lee, Kyounghun, Jang, Geuk Young, Kim, Yongmin, Woo, Eung Je

“… Objective : The objectives of this study were to develop a multi-channel trans-impedance leadforming method for beat-to-beat stroke volume (SV) and …”
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A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation von Wen, Andrew, Wang, Liwei, He, Huan, Fu, Sunyang, Liu, Sijia, Hanauer, David A, Harris, Daniel R, Kavuluru, Ramakanth, Zhang, Rui, Natarajan, Karthik, Pavinkurve, Nishanth P, Hajagos, Janos, Rajupet, Sritha, Lingam, Veena, Saltz, Mary, Elowsky, Corey, Moffitt, Richard A, Koraishy, Farrukh M, Palchuk, Matvey B, Donovan, Jordan, Lingrey, Lora, Stone-DerHagopian, Garo, Miller, Robert T, Williams, Andrew E, Leese, Peter J, Kovach, Paul I, Pfaff, Emily R, Zemmel, Mikhail, Pates, Robert D, Guthe, Nick, Haendel, Melissa A, Chute, Christopher G, Liu, Hongfang

“… ). While a multitude of approaches to NLP exist, current algorithm development approaches have limitations that can slow the development process …”
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Evaluation of algorithm development approaches: Development of biomarker panels for early detection of colorectal lesions von Gawel, Susan H., Lucht, Michael, Gomer, Heather, Treado, Patrick, Christensen, Ib J., Nielsen, Hans J., Davis, Gerard J.

“… These biomarkers, as well as patient demographic information (e.g., age, gender), were included in algorithm development …”
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Current Density Imaging During Transcranial Direct Current Stimulation Using DT-MRI and MREIT: Algorithm Development and Numerical Simulations von Kwon, Oh In, Sajib, Saurav Z. K., Sersa, Igor, Oh, Tong In, Jeong, Woo Chul, Kim, Hyung Joong, Woo, Eung Je

“… : We developed a novel current density image reconstruction algorithm using 1) a subject specific segmented 3-D head model, 2 …”
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Deep Learning Methodology for Differentiating Glioma Recurrence From Radiation Necrosis Using Multimodal Magnetic Resonance Imaging: Algorithm Development and Validation von Gao, Yang, Xiao, Xiong, Han, Bangcheng, Li, Guilin, Ning, Xiaolin, Wang, Defeng, Cai, Weidong, Kikinis, Ron, Berkovsky, Shlomo, Di Ieva, Antonio, Zhang, Liwei, Ji, Nan, Liu, Sidong

“… The radiological differential diagnosis between tumor recurrence and radiation-induced necrosis (ie, pseudoprogression) is of paramount importance in the …”
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Unobtrusive Nighttime Movement Monitoring to Support Nursing Home Continence Care: Algorithm Development and Validation Study von Strauven, Hannelore, Wang, Chunzhuo, Hallez, Hans, Vanden Abeele, Vero, Vanrumste, Bart

“… The rising prevalence of urinary incontinence (UI) among older adults, particularly those living in nursing homes (NHs), underscores the need for innovative …”
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Optimizing actuated traffic signal control using license plate recognition data: Methods for modeling and algorithm development von Nie, Chunting, Wei, Heng, Shi, Jianjun, Zhang, Mengmeng

“… •Developed real-time actuated control algorithms using the license plate recognition data.•Increasing potential capacity by maximizing the throughput while …”
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A Deep Artificial Neural Network−Based Model for Prediction of Underlying Cause of Death From Death Certificates: Algorithm Development and Validation von Falissard, Louis, Morgand, Claire, Roussel, Sylvie, Imbaud, Claire, Ghosn, Walid, Bounebache, Karim, Rey, Grégoire

“… Coding of underlying causes of death from death certificates is a process that is nowadays undertaken mostly by humans with potential assistance from expert …”
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Self–Training With Quantile Errors for Multivariate Missing Data Imputation for Regression Problems in Electronic Medical Records: Algorithm Development Study von Gwon, Hansle, Ahn, Imjin, Kim, Yunha, Kang, Hee Jun, Seo, Hyeram, Cho, Ha Na, Choi, Heejung, Jun, Tae Joon, Kim, Young-Hak

“… Background: When using machine learning in the real world, the missing value problem is the first problem encountered. Methods to impute this missing value …”
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Clustering Insomnia Patterns by Data From Wearable Devices: Algorithm Development and Validation Study von Park, Sungkyu, Lee, Sang Won, Han, Sungwon, Cha, Meeyoung

“… As societies become more complex, larger populations suffer from insomnia. In 2014, the US Centers for Disease Control and Prevention declared that sleep …”
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Near Real-time Natural Language Processing for the Extraction of Abdominal Aortic Aneurysm Diagnoses From Radiology Reports: Algorithm Development and Validation Study von Gaviria-Valencia, Simon, Murphy, Sean P, Kaggal, Vinod C, McBane II, Robert D, Rooke, Thom W, Chaudhry, Rajeev, Alzate-Aguirre, Mateo, Arruda-Olson, Adelaide M

“… NLP extracted named entities for AAA case identification and classified subjects as cases and controls …”
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Sleep Apnea Classification Algorithm Development Using a Machine-Learning Framework and Bag-of-Features Derived from Electrocardiogram Spectrograms von Lin, Cheng-Yu, Wang, Yi-Wen, Setiawan, Febryan, Trang, Nguyen Thi Hoang, Lin, Che-Wei

“… ) derived from an ECG spectrogram. Methods: This study was verified using overnight ECG recordings from 83 subjects with an average apnea–hypopnea index (AHI) 29.63 (/h …”
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A Knowledge Graph of Combined Drug Therapies Using Semantic Predications From Biomedical Literature: Algorithm Development von Du, Jian, Li, Xiaoying

“… Combination therapy plays an important role in the effective treatment of malignant neoplasms and precision medicine. Numerous clinical studies have been …”
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Correlation of Concept and Image in the Process of Algorithm development for Analyzing the Image-Concept of a State von Posternyak, Ksenia P., Posternyak, Kirill P.

“… The article is topical due to the interest of scientists to the images of states as subjects of politics and their formation and transformation in political discourse …”
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Automated Identification of Aspirin-Exacerbated Respiratory Disease Using Natural Language Processing and Machine Learning: Algorithm Development and Evaluation Study von Pongdee, Thanai, Larson, Nicholas B, Divekar, Rohit, Bielinski, Suzette J, Liu, Hongfang, Moon, Sungrim

“… Aspirin-exacerbated respiratory disease (AERD) is an acquired inflammatory condition characterized by the presence of asthma, chronic rhinosinusitis with nasal …”
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A Large-Scale Open Motion Dataset (KFall) and Benchmark Algorithms for Detecting Pre-impact Fall of the Elderly Using Wearable Inertial Sensors von Yu, Xiaoqun, Jang, Jaehyuk, Xiong, Shuping

“… Research on pre-impact fall detection with wearable inertial sensors (detecting fall accidents prior to body-ground impacts) has grown rapidly in the past …”
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