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

Tarkoititko:
data algorithm » jaya algorithm (Laajenna hakua)
jay algorithm » jaya algorithm (Laajenna hakua), fly algorithm (Laajenna hakua), ary algorithm (Laajenna hakua)
a algorithm » jaya algorithm (Laajenna hakua)

1

A systematic comparison of genome-scale clustering algorithms

A systematic comparison of genome-scale clustering algorithms

Tekijä 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
Julkaistu 2012

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

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

Tekijä Hamad, Rita, Templeton, Zachary S, Schoemaker, Lena, Zhao, Michelle, Bhattacharya, Jay
Julkaisussa 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

Tekijä Figueroa, Caroline A, Aguilera, Adrian, Chakraborty, Bibhas, Modiri, Arghavan, Aggarwal, Jai, Deliu, Nina, Sarkar, Urmimala, Jay Williams, Joseph, Lyles, Courtney R
Julkaisussa 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

Tekijä Vasu Kalariya, Pushpendra Parmar, Patel Jay, Sudeep Tanwar, Maria Simona Raboaca, Fayez Alqahtani, Amr Tolba, Bogdan-Constantin Neagu
Julkaistu 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

Tekijä 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
Julkaisussa 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

Tekijä 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
Julkaisussa 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

Tekijä 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
Julkaistu 2011-12-01

Aiheet: “...exposure algorithm...”
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Artigo

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

Tekijä 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.
Julkaistu 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

Tekijä 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.
Julkaisussa 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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Artigo

10

Data mining polycystic ovary morphology in electronic medical record ultrasound reports

Data mining polycystic ovary morphology in electronic medical record ultrasound reports

Tekijä Cheng, Jay Jojo, Mahalingaiah, Shruthi
Julkaisussa 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...

Tekijä Miernyk, Karen, DeByle, Carolynn, Harker-Jones, Marcella, Hummel, Kimberlee Boyd, Hennessy, Thomas, Wenger, Jay, Rudolph, Karen
Julkaistu 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

Tekijä Park, Tai Hwan, Choi, Jay Chol
Julkaisussa 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

Tekijä Chen, Xiaoyu, Hoffman, Michael M., Bilmes, Jeff A., Hesselberth, Jay R., Noble, William S.
Julkaistu 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

Tekijä 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.
Julkaisussa 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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Artigo

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

Tekijä 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
Julkaisussa PLoS One (2020)

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

16

Cuffless Blood Pressure Monitoring: Promises and Challenges

Cuffless Blood Pressure Monitoring: Promises and Challenges

Tekijä Pandit, Jay A., Lores, Enrique, Batlle, Daniel
Julkaisussa 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

Tekijä Pliner, Hannah A., Shendure, Jay, Trapnell, Cole
Julkaisussa 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

Tekijä 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.
Julkaisussa 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

Tekijä Stingone, Jeanette A., Triantafillou, Sofia, Larsen, Alexandra, Kitt, Jay P., Shaw, Gary M., Marsillach, Judit
Julkaisussa 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

Tekijä Zhang, Jing, Kuo, C.-C. Jay, Chen, Liang
Julkaisussa Bioinformatics (2015)

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