Sökresultat - ((((jay algorithm) or (a algorithm))) or (((data algorithm) or (data algorithms))))

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1

A systematic comparison of genome-scale clustering algorithms

A systematic comparison of genome-scale clustering algorithms

av Jay, Jeremy J, Eblen, John D, Zhang, Yun, Benson, Mikael, Perkins, Andy D, Saxton, Arnold M, Voy, Brynn H, Chesler, Elissa J, Langston, Michael A
Publicerad 2012

“... theoretical clustering algorithms are compared using well-characterized transcriptomic data at a genome scale...”
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2

Comparing demographic and health characteristics of new and existing SNAP recipients: application of a machine learning algorithm

Comparing demographic and health characteristics of new and existing SNAP recipients: application of a machine learning algorithm

av Hamad, Rita, Templeton, Zachary S, Schoemaker, Lena, Zhao, Michelle, Bhattacharya, Jay
I publikationen Am J Clin Nutr (2019)

“... of SNAP after the recession. METHODS: We created a probabilistic algorithm to identify new and existing...”
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3

Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions

Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions

av Figueroa, Caroline A, Aguilera, Adrian, Chakraborty, Bibhas, Modiri, Arghavan, Aggarwal, Jai, Deliu, Nina, Sarkar, Urmimala, Jay Williams, Joseph, Lyles, Courtney R
I publikationen J Am Med Inform Assoc (2021)

“... design decisions in a collaboration between health services researchers, clinicians, and data scientists...”
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4

Stochastic Neural Networks-Based Algorithmic Trading for the Cryptocurrency Market

Stochastic Neural Networks-Based Algorithmic Trading for the Cryptocurrency Market

av Vasu Kalariya, Pushpendra Parmar, Patel Jay, Sudeep Tanwar, Maria Simona Raboaca, Fayez Alqahtani, Amr Tolba, Bogdan-Constantin Neagu
Publicerad 2022-04-01

“... advantage of recent advances in neural networks and volatility, we show that the trading algorithms...”
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5

A Virtual Surgical Planning Algorithm for Delayed Maxillomandibular Reconstruction

A Virtual Surgical Planning Algorithm for Delayed Maxillomandibular Reconstruction

av Stranix, John T., Stern, Carrie S., Rensberger, Michael, Ganly, Ian, Boyle, Jay O., Allen, Robert J., Disa, Joseph J., Mehrara, Babak J., Garfein, Evan S., Matros, Evan
I publikationen Plast Reconstr Surg (2019)

“... the normal contralateral side, and scaled normative data. To facilitate delayed reconstruction a hierarchical...”
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6

Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

av Mao, Qingqing, Jay, Melissa, Hoffman, Jana L, Calvert, Jacob, Barton, Christopher, Shimabukuro, David, Shieh, Lisa, Chettipally, Uli, Fletcher, Grant, Kerem, Yaniv, Zhou, Yifan, Das, Ritankar
I publikationen BMJ Open (2018)

“...OBJECTIVES: We validate a machine learning-based sepsis-prediction algorithm (InSight...”
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7

An Updated Algorithm for Estimation of Pesticide Exposure Intensity in the Agricultural Health Study

An Updated Algorithm for Estimation of Pesticide Exposure Intensity in the Agricultural Health Study

av Aaron Blair, Dale P. Sandler, Michael C. R. Alavanja, Jay H. Lubin, Cynthia J. Hines, Jane A. Hoppin, Mustafa Dosemeci, Laura E. Beane Freeman, Brian Curwin, Joseph Coble, Kent W. Thomas
Publicerad 2011-12-01

Ämnen: “...exposure algorithm...”
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8

An Updated Algorithm for Estimation of Pesticide Exposure Intensity in the Agricultural Health Study

An Updated Algorithm for Estimation of Pesticide Exposure Intensity in the Agricultural Health Study

av Coble, Joseph, Thomas, Kent W., Hines, Cynthia J., Hoppin, Jane A., Dosemeci, Mustafa, Curwin, Brian, Lubin, Jay H., Beane Freeman, Laura E., Blair, Aaron, Sandler, Dale P., Alavanja, Michael C. R.
Publicerad 2011

“... for applicators grouped by application method and use of chemically-resistant (CR) gloves. Measurement data from a...”
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9

Validation of an ICD-9 Code Algorithm for Identifying Chiari Malformation Type 1 Surgery in Adults

Validation of an ICD-9 Code Algorithm for Identifying Chiari Malformation Type 1 Surgery in Adults

av Greenberg, Jacob K., Ladner, Travis R., Olsen, Margaret A., Shannon, Chevis N., Liu, Jingxia, Yarbrough, Chester K., Piccirillo, Jay F., Wellons, John C., Smyth, Matthew D., Park, Tae Sung, Limbrick, David D.
I publikationen Neurosurgery (2015)

“.... Algorithm 1 included any discharge diagnosis code of 348.4 (CM-1), as well as a procedure code of 01.24...”
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10

Data mining polycystic ovary morphology in electronic medical record ultrasound reports

Data mining polycystic ovary morphology in electronic medical record ultrasound reports

av Cheng, Jay Jojo, Mahalingaiah, Shruthi
I publikationen Fertil Res Pract (2019)

“... data was used to develop and refine the algorithms, and the other half was used as a test set...”
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11

Serotyping of Streptococcus pneumoniae Isolates from Nasopharyngeal Samples: Use of an Algorithm Combining Microbiologic, Serologic, and Sequential Multiplex PCR Techniques

Serotyping of Streptococcus pneumoniae Isolates from Nasopharyngeal Samples: Use of an Algorithm...

av Miernyk, Karen, DeByle, Carolynn, Harker-Jones, Marcella, Hummel, Kimberlee Boyd, Hennessy, Thomas, Wenger, Jay, Rudolph, Karen
Publicerad 2011

“... communities and used an algorithm combining microbiologic, serologic, and sequential multiplex PCR (MP-PCR...”
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12

Validation of Stroke and Thrombolytic Therapy in Korean National Health Insurance Claim Data

Validation of Stroke and Thrombolytic Therapy in Korean National Health Insurance Claim Data

av Park, Tai Hwan, Choi, Jay Chol
I publikationen J Clin Neurol (2016)

“...%, with almost perfect agreement (κ=0.83-0.84) in the JNUH data set. Regarding ICH, only algorithm 1 yielded...”
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13

A dynamic Bayesian network for identifying protein-binding footprints from single molecule-based sequencing data

A dynamic Bayesian network for identifying protein-binding footprints from single molecule-based sequencing data

av Chen, Xiaoyu, Hoffman, Michael M., Bilmes, Jeff A., Hesselberth, Jay R., Noble, William S.
Publicerad 2010

“... genomic footprinting data. The method, DBFP, allows footprints to be identified in a probabilistic...”
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14

Chiari malformation Type I surgery in pediatric patients. Part 1: validation of an ICD-9-CM code search algorithm

Chiari malformation Type I surgery in pediatric patients. Part 1: validation of an ICD-9-CM code search algorithm

av Ladner, Travis R., Greenberg, Jacob K., Guerrero, Nicole, Olsen, Margaret A., Shannon, Chevis N., Yarbrough, Chester K., Piccirillo, Jay F., Anderson, Richard C. E., Feldstein, Neil A., Wellons, John C., Smyth, Matthew D., Park, Tae Sung, Limbrick, David D.
I publikationen J Neurosurg Pediatr (2016)

“... was to validate two ICD-9-CM code algorithms using hospital billing data to identify pediatric patients undergoing...”
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15

Development of stroke identification algorithm for claims data using the multicenter stroke registry database

Development of stroke identification algorithm for claims data using the multicenter stroke registry database

av Kim, Jun Yup, Lee, Keon-Joo, Kang, Jihoon, Kim, Beom Joon, Han, Moon-Ku, Kim, Seong-Eun, Lee, Heeyoung, Park, Jong-Moo, Kang, Kyusik, Lee, Soo Joo, Kim, Jae Guk, Cha, Jae-Kwan, Kim, Dae-Hyun, Park, Tai Hwan, Park, Moo-Seok, Park, Sang-Soon, Lee, Kyung Bok, Park, Hong-Kyun, Cho, Yong-Jin, Hong, Keun-Sik, Choi, Kang-Ho, Kim, Joon-Tae, Kim, Dong-Eog, Ryu, Wi-Sun, Choi, Jay Chol, Oh, Mi-Sun, Yu, Kyung-Ho, Lee, Byung-Chul, Park, Kwang-Yeol, Lee, Ji Sung, Jang, Sujung, Chae, Jae Eun, Lee, Juneyoung, Bae, Hee-Joon
I publikationen PLoS One (2020)

“... sets with a ratio of 7:3. A stroke identification algorithm using the claims data was developed...”
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16

Cuffless Blood Pressure Monitoring: Promises and Challenges

Cuffless Blood Pressure Monitoring: Promises and Challenges

av Pandit, Jay A., Lores, Enrique, Batlle, Daniel
I publikationen Clin J Am Soc Nephrol (2020)

“... that are superior to the office-based snapshot, but this system is not suitable for frequent repeated use. A true...”
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17

Supervised classification enables rapid annotation of cell atlases

Supervised classification enables rapid annotation of cell atlases

av Pliner, Hannah A., Shendure, Jay, Trapnell, Cole
I publikationen Nat Methods (2019)

“... Garnett, an algorithm and accompanying software for rapidly annotating cell types in scRNA-seq and scATAC...”
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18

An algorithm for quantitatively estimating non-occupational pesticide exposure intensity for spouses in the Agricultural Health Study

An algorithm for quantitatively estimating non-occupational pesticide exposure intensity for spouses in the Agricultural Health Study

av Deziel, Nicole C., Beane Freeman, Laura E., Hoppin, Jane A., Thomas, Kent, Lerro, Catherine C., Jones, Rena R., Hines, Cynthia J., Blair, Aaron, Graubard, Barry I., Lubin, Jay H., Sandler, Dale P., Chen, Honglei, Andreotti, Gabriella, Alavanja, Michael C., Friesen, Melissa C.
I publikationen J Expo Sci Environ Epidemiol (2018)

“... agricultural work. We developed a quantitative, active ingredient specific algorithm for cumulative (adult...”
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19

Interdisciplinary Data Science to Advance Environmental Health Research and Improve Birth Outcomes

Interdisciplinary Data Science to Advance Environmental Health Research and Improve Birth Outcomes

av Stingone, Jeanette A., Triantafillou, Sofia, Larsen, Alexandra, Kitt, Jay P., Shaw, Gary M., Marsillach, Judit
I publikationen Environ Res (2021)

“... existing data from health registries and environmental monitoring programs; 2) develop novel algorithms...”
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20

WemIQ: an accurate and robust isoform quantification method for RNA-seq data

WemIQ: an accurate and robust isoform quantification method for RNA-seq data

av Zhang, Jing, Kuo, C.-C. Jay, Chen, Liang
I publikationen Bioinformatics (2015)

“... with a weighted expectation maximization (EM) algorithm to distribute reads among isoforms efficiently...”
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