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4. Returning integrated genomic risk and clinical recommendations: The eMERGE study

Author

Gordon, Adam, Sobowale, Agboade, Allworth, Aimee, Patel, Akshar, DiVietro, Alanna, Strong, Alanna, Sherafati, Alborz, Sherfati, Alborz, Bick, Alex, Miller, Alexandra, Chandel, Alka, Rosenthal, Alyssa, Khera, Amit, Kontorovich, Amy, Beck, Andrew, Beck, Andy, Espinoza, Angelica, Lewis, Anna, Prince, Anya, Khan, Atlas, Iverson, Ayuko, Khales, Bahram Namjou, Benoit, Barbara, Hernan, Becca, Kallman, Ben, Kerman, Ben, Shoemaker, Ben, Satterfield, Benjamin, Devine, Beth, Etheridge, Bethany, Goff, Blake, Freimuth, Bob, Grundmeier, Bob, Collier, Brenae, Mutai, Brenda, Harnett, Brett, Chang, Brian, Piening, Brian, Davis, Brittney, Korf, Bruce, Patterson, Candace, Demetriou, Carmen, Ta, Casey, Hammack, Catherine, Nelson, Catrina, Gascoigne, Caytie, Dorn, Chad, Moretz, Chad, Kachulis, Chris, Hoell, Christie, Cowles, Christine, Lange, Christoph, Weng, Chunhua, Prows, Cindy, Brokamp, Cole, Liu, Cong, Scherr, Courtney, Gonzalez, Crystal, Ramirez, Cynthia, Shimbo, Daichi, Roden, Dan, Schaid, Daniel, Kaufman, Dave, Crosslin, David, Kochan, David, Veenstra, David, Singh, Davinder, Karavite, Dean, Abrams, Debbie, Absher, Devin, Edwards, Digna Velez, Haverfield, Eden, Morales, Eduardo, Esplin, Edward, Malolepsza, Edyta, Alipour, Ehsan, Kenny, Eimear, Rosenthal, Elisabeth, Duvall, Eliza, McNally, Elizabeth, Bhoj, Elizabeth, Cohn, Elizabeth, Hibler, Elizabeth, Karlson, Elizabeth, Clayton, Ellen, Chesnut, Emily, DeFranco, Emily, Gallagher, Emily, Soper, Emily, Perez, Emma, Cash, Erin, Berner, Eta, Wang, Fei, Wehbe, Firas, Ricci, Francisco, Mentch, Frank, Shaibi, Gabriel, Jarvik, Gail, Hahn, George, Hripcsak, George, Wiesner, Georgia, Belbin, Gillian, Davogustto, Gio, Nadkarni, Girish, Qiu, Haijun, Hakonarson, Hakon, Bangash, Hana, Beasley, Hannah, Liu, Hao, Aungst, Heide, Tiwari, Hemant, Duckham, Hillary, Thomas, Hope, Kullo, Iftikhar, Holm, Ingrid, Allen, Isabelle, Ionita-Laza, Iuliana, Hellwege, Jacklyn, Petrzelka, Jacob, Odgis, Jacqueline, Narula, Jahnavi, Petrzelka, Jake, Patel, Jalpa, Cimino, James, Meigs, James, Snyder, James, Olson, Janet, Zahner, Janet, Pennington, Jeff, Pacheco, Jen, Pacheco, Jennifer Allen, Morse, Jennifer, Corsmo, Jeremy, Thayer, Jeritt, Cimino, Jim, Chen, Jingheng, Fournier, Jocelyn, Jackson, Jodell, Glessner, Joe, Pacyna, Joel, Smith, Johanna, Connolly, John, Lynch, John, Shelley, John, Mosley, Jonathan, Nestor, Jordan, Smoller, Jordan, Alsip, Jorge, Kannry, Joseph, Sutton, Joseph, Peterson, Josh, Smith, Joshua, Galasso, Julia, Smith, Julia, Wynn, Julia, Gundelach, Justin, Starren, Justin, Choi, Karmel, Mittendorf, Kate, Anderson, Katherine, Bonini, Katherine, Leppig, Kathleen, Muenzen, Kathleen, Larkin, Katie, Stuttgen, Kelsey, Wiley, Ken, Nguyen, Kenny, Dufendach, Kevin, Atkins, Kiley, Sawicki, Konrad, Norland, Kristjan, Kiryluk, Krzysztof, Beskow, Laura, Rasmussen-Torvik, Laura, Kottyan, Leah, Hsu, Li, Tian, Lifeng, Mahanta, Lisa, Martin, Lisa, Wang, Lisa, Gomez, Lizbeth, Thompson, Lorenzo, Orlando, Lori, Richter, Lucas, Rasmussen, Luke, Petukhova, Lynn, Seabolt, Lynn, O’Brien, Madison, Harden, Maegan, Fullerton, Malia, Harr, Margaret, Beasley, Mark, Guindo, Marta, Horike, Martha, Horike-Pyne, Martha, Abdalla, Marwah, Hamed, Marwan, Terry, Mary Beth, Maradik, Mary, Wyatt, Matt, Davis, Matthew, Lebo, Matthew, Smith, Maureen, Rosario, Maya del, Sabatello, Maya, Behr, Meckenzie, Roy-Puckelwartz, Meg, Habrat, Mel, Myers, Melanie, Yetisgen, Meliha, Iris, Merve, DaSilva, Michael, Preuss, Michael, McGowan, Michelle, Shi, Mingjian, Perera, Minoli, Thomas, Minta, Elkind, Mitch, Abbass, Mohammad, Saadatagah, Mohammad, Hess, Molly, Maradik, Molly, Vaitinadin, Nataraja “RJ”, Vaitinadin, Nataraja, Muthu, Naveen, Netherly, Neil, Lennon, Niall, Shang, Ning, Limdi, Nita, Forrest, Noah, Romero, Noheli, Robinson, Nora, Abul-Husn, Noura, Elsekaily, Omar, Dikilitas, Ozan, Kovatch, Patricia, Davis, Patrick, Appelbaum, Paul, Francaviglia, Paul, O’Reilly, Paul, Chandler, Paulette, Caraballo, Pedro, Tarczy-Hornoch, Peter, Shum, Pierre, Marathe, Priya, Murali, Priyanka, Feng, Qiping, Wells, Quinn, Atchley, Rachel, Narla, Radhika, Barton, Rene, Sterling, Rene, Chisholm, Rex, Green, Richard, Sharp, Richard, Peters, Riki, Kukafka, Rita, Rowley, Robb, Freimuth, Robert, Green, Robert, Winter, Robert, Mueller, Roger, Loos, Ruth, Irvin, Ryan, Suckiel, Sabrina, Hussain, Sajjad, Sharba, Samer, Aronson, Sandy, Jones, Sarah, Knerr, Sarah, Nigbur, Scott, Weiss, Scott, Mooney, Sean, Terek, Shannon, Aufox, Sharon, Nirenberg, Sharon, Murphy, Shawn, O’Byrne, Sheila, Wang (Sam) Choi, Shing, Aguilar, Sienna, Bland, S.T., Rodrigues, Stefanie, Ledbetter, Stephanie, Rutledge, Stephanie, Booth, Stuart James, Xian, Su, Trinidad, Susan Brown, Bakken, Suzanne, Schmidlen, Tara, Rakhra-Burris, Tejinder, Manolio, Teri, Mersha, Tesfaye, Walunas, Theresa, Chandereng, Thevaa, May, Thomas, Ge, Tian, Edwards, Todd, Kaszemacher, Tom, Hernandez, Valentina, Willis, Valerie, Desai, Vemi, Desai, Vimi, Lorenzi, Virginia, Gainer, Vivian, Wei, Wei-Qi, Chung, Wendy, Su, Wu-Chen, Chang, Xiao, Zhao, Yiqing, Luo, Yuan, Shen, Yufeng, Linder, Jodell E., Bland, Sarah T., Caraballo, Pedro J., Chisholm, Rex L., Clayton, Ellen Wright, Crosslin, David R., Esplin, Edward D., Forman, Sophie, Freimuth, Robert R., Gordon, Adam S., Harden, Maegan V., Holm, Ingrid A., Jarvik, Gail P., Karlson, Elizabeth W., Labrecque, Sofia, Lennon, Niall J., Limdi, Nita A., Mittendorf, Kathleen F., Murphy, Shawn N., Prows, Cynthia A., Rasmussen, Luke V., Sawicki, Konrad Teodor, Velez Edwards, Digna R., Abul-Husn, Noura S., Below, Jennifer E., Berner, Eta S., Booth, James, Chung, Wendy K., Cimino, James J., Fullerton, Stephanie M., Guiducci, Candace, Habrat, Melissa L., Hain, Heather, Hoell, Christin, Irvin, Marguerite R., Kachulis, Christopher, Kenny, Eimear E., Kullo, Iftikhar J., Manolio, Teri A., McNally, Elizabeth M., Mooney, Sean D., Namjou, Bahram, Perez, Emma F., Puckelwartz, Megan J., Roden, Dan M., Rosenthal, Elisabeth A., Saadatagah, Seyedmohammad, Schaid, Dan J., Schultz, Baergen, Shaibi, Gabriel Q., Sharp, Richard R., Shirts, Brian, Smith, Maureen E., Smoller, Jordan W., Suckiel, Sabrina A., Tiwari, Hemant K., Trinidad, Susan B., Wells, Quinn S., Wiesner, Georgia L., and Peterson, Josh F.

Published
2023
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8. Probabilistic multi-step ahead streamflow forecast based on deep learning.

Author

Karimanzira, Divas, Richter, Lucas, Hilbring, Desiree, Lödige, Michaela, and Vogl, Jonathan

Subjects
DEEP learning, FEDERATED learning, STREAMFLOW, GENERATIVE adversarial networks, FLOOD forecasting, FORECASTING
Abstract

Copyright of Automatisierungstechnik is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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11. Returning integrated genomic risk and clinical recommendations: The eMERGE study

Author

Linder, Jodell E., primary, Allworth, Aimee, additional, Bland, Sarah T., additional, Caraballo, Pedro J., additional, Chisholm, Rex L., additional, Clayton, Ellen Wright, additional, Crosslin, David R., additional, Dikilitas, Ozan, additional, DiVietro, Alanna, additional, Esplin, Edward D., additional, Forman, Sophie, additional, Freimuth, Robert R., additional, Gordon, Adam S., additional, Green, Richard, additional, Harden, Maegan V., additional, Holm, Ingrid A., additional, Jarvik, Gail P., additional, Karlson, Elizabeth W., additional, Labrecque, Sofia, additional, Lennon, Niall J., additional, Limdi, Nita A., additional, Mittendorf, Kathleen F., additional, Murphy, Shawn N., additional, Orlando, Lori, additional, Prows, Cynthia A., additional, Rasmussen, Luke V., additional, Rasmussen-Torvik, Laura, additional, Rowley, Robb, additional, Sawicki, Konrad Teodor, additional, Schmidlen, Tara, additional, Terek, Shannon, additional, Veenstra, David, additional, Velez Edwards, Digna R., additional, Absher, Devin, additional, Abul-Husn, Noura S., additional, Alsip, Jorge, additional, Bangash, Hana, additional, Beasley, Mark, additional, Below, Jennifer E., additional, Berner, Eta S., additional, Booth, James, additional, Chung, Wendy K., additional, Cimino, James J., additional, Connolly, John, additional, Davis, Patrick, additional, Devine, Beth, additional, Fullerton, Stephanie M., additional, Guiducci, Candace, additional, Habrat, Melissa L., additional, Hain, Heather, additional, Hakonarson, Hakon, additional, Harr, Margaret, additional, Haverfield, Eden, additional, Hernandez, Valentina, additional, Hoell, Christin, additional, Horike-Pyne, Martha, additional, Hripcsak, George, additional, Irvin, Marguerite R., additional, Kachulis, Christopher, additional, Karavite, Dean, additional, Kenny, Eimear E., additional, Khan, Atlas, additional, Kiryluk, Krzysztof, additional, Korf, Bruce, additional, Kottyan, Leah, additional, Kullo, Iftikhar J., additional, Larkin, Katie, additional, Liu, Cong, additional, Malolepsza, Edyta, additional, Manolio, Teri A., additional, May, Thomas, additional, McNally, Elizabeth M., additional, Mentch, Frank, additional, Miller, Alexandra, additional, Mooney, Sean D., additional, Murali, Priyanka, additional, Mutai, Brenda, additional, Muthu, Naveen, additional, Namjou, Bahram, additional, Perez, Emma F., additional, Puckelwartz, Megan J., additional, Rakhra-Burris, Tejinder, additional, Roden, Dan M., additional, Rosenthal, Elisabeth A., additional, Saadatagah, Seyedmohammad, additional, Sabatello, Maya, additional, Schaid, Dan J., additional, Schultz, Baergen, additional, Seabolt, Lynn, additional, Shaibi, Gabriel Q., additional, Sharp, Richard R., additional, Shirts, Brian, additional, Smith, Maureen E., additional, Smoller, Jordan W., additional, Sterling, Rene, additional, Suckiel, Sabrina A., additional, Thayer, Jeritt, additional, Tiwari, Hemant K., additional, Trinidad, Susan B., additional, Walunas, Theresa, additional, Wei, Wei-Qi, additional, Wells, Quinn S., additional, Weng, Chunhua, additional, Wiesner, Georgia L., additional, Wiley, Ken, additional, Peterson, Josh F., additional, Gordon, Adam, additional, Sobowale, Agboade, additional, Patel, Akshar, additional, Strong, Alanna, additional, Sherafati, Alborz, additional, Sherfati, Alborz, additional, Bick, Alex, additional, Chandel, Alka, additional, Rosenthal, Alyssa, additional, Khera, Amit, additional, Kontorovich, Amy, additional, Beck, Andrew, additional, Beck, Andy, additional, Espinoza, Angelica, additional, Lewis, Anna, additional, Prince, Anya, additional, Iverson, Ayuko, additional, Khales, Bahram Namjou, additional, Benoit, Barbara, additional, Hernan, Becca, additional, Kallman, Ben, additional, Kerman, Ben, additional, Shoemaker, Ben, additional, Satterfield, Benjamin, additional, Etheridge, Bethany, additional, Goff, Blake, additional, Freimuth, Bob, additional, Grundmeier, Bob, additional, Collier, Brenae, additional, Harnett, Brett, additional, Chang, Brian, additional, Piening, Brian, additional, Davis, Brittney, additional, Patterson, Candace, additional, Demetriou, Carmen, additional, Ta, Casey, additional, Hammack, Catherine, additional, Nelson, Catrina, additional, Gascoigne, Caytie, additional, Dorn, Chad, additional, Moretz, Chad, additional, Kachulis, Chris, additional, Hoell, Christie, additional, Cowles, Christine, additional, Lange, Christoph, additional, Prows, Cindy, additional, Brokamp, Cole, additional, Scherr, Courtney, additional, Gonzalez, Crystal, additional, Ramirez, Cynthia, additional, Shimbo, Daichi, additional, Roden, Dan, additional, Schaid, Daniel, additional, Kaufman, Dave, additional, Crosslin, David, additional, Kochan, David, additional, Singh, Davinder, additional, Abrams, Debbie, additional, Edwards, Digna Velez, additional, Morales, Eduardo, additional, Esplin, Edward, additional, Alipour, Ehsan, additional, Kenny, Eimear, additional, Rosenthal, Elisabeth, additional, Duvall, Eliza, additional, McNally, Elizabeth, additional, Bhoj, Elizabeth, additional, Cohn, Elizabeth, additional, Hibler, Elizabeth, additional, Karlson, Elizabeth, additional, Clayton, Ellen, additional, Chesnut, Emily, additional, DeFranco, Emily, additional, Gallagher, Emily, additional, Soper, Emily, additional, Perez, Emma, additional, Cash, Erin, additional, Berner, Eta, additional, Wang, Fei, additional, Wehbe, Firas, additional, Ricci, Francisco, additional, Shaibi, Gabriel, additional, Jarvik, Gail, additional, Hahn, George, additional, Wiesner, Georgia, additional, Belbin, Gillian, additional, Davogustto, Gio, additional, Nadkarni, Girish, additional, Qiu, Haijun, additional, Beasley, Hannah, additional, Liu, Hao, additional, Aungst, Heide, additional, Tiwari, Hemant, additional, Duckham, Hillary, additional, Thomas, Hope, additional, Kullo, Iftikhar, additional, Holm, Ingrid, additional, Allen, Isabelle, additional, Ionita-Laza, Iuliana, additional, Hellwege, Jacklyn, additional, Petrzelka, Jacob, additional, Odgis, Jacqueline, additional, Narula, Jahnavi, additional, Petrzelka, Jake, additional, Patel, Jalpa, additional, Cimino, James, additional, Meigs, James, additional, Snyder, James, additional, Olson, Janet, additional, Zahner, Janet, additional, Pennington, Jeff, additional, Pacheco, Jen, additional, Pacheco, Jennifer Allen, additional, Morse, Jennifer, additional, Corsmo, Jeremy, additional, Cimino, Jim, additional, Chen, Jingheng, additional, Fournier, Jocelyn, additional, Jackson, Jodell, additional, Glessner, Joe, additional, Pacyna, Joel, additional, Smith, Johanna, additional, Lynch, John, additional, Shelley, John, additional, Mosley, Jonathan, additional, Nestor, Jordan, additional, Smoller, Jordan, additional, Kannry, Joseph, additional, Sutton, Joseph, additional, Peterson, Josh, additional, Smith, Joshua, additional, Galasso, Julia, additional, Smith, Julia, additional, Wynn, Julia, additional, Gundelach, Justin, additional, Starren, Justin, additional, Choi, Karmel, additional, Mittendorf, Kate, additional, Anderson, Katherine, additional, Bonini, Katherine, additional, Leppig, Kathleen, additional, Muenzen, Kathleen, additional, Stuttgen, Kelsey, additional, Nguyen, Kenny, additional, Dufendach, Kevin, additional, Atkins, Kiley, additional, Sawicki, Konrad, additional, Norland, Kristjan, additional, Beskow, Laura, additional, Hsu, Li, additional, Tian, Lifeng, additional, Mahanta, Lisa, additional, Martin, Lisa, additional, Wang, Lisa, additional, Gomez, Lizbeth, additional, Thompson, Lorenzo, additional, Richter, Lucas, additional, Rasmussen, Luke, additional, Petukhova, Lynn, additional, O’Brien, Madison, additional, Harden, Maegan, additional, Fullerton, Malia, additional, Guindo, Marta, additional, Horike, Martha, additional, Abdalla, Marwah, additional, Hamed, Marwan, additional, Terry, Mary Beth, additional, Maradik, Mary, additional, Wyatt, Matt, additional, Davis, Matthew, additional, Lebo, Matthew, additional, Smith, Maureen, additional, Rosario, Maya del, additional, Behr, Meckenzie, additional, Roy-Puckelwartz, Meg, additional, Habrat, Mel, additional, Myers, Melanie, additional, Yetisgen, Meliha, additional, Iris, Merve, additional, DaSilva, Michael, additional, Preuss, Michael, additional, McGowan, Michelle, additional, Shi, Mingjian, additional, Perera, Minoli, additional, Thomas, Minta, additional, Elkind, Mitch, additional, Abbass, Mohammad, additional, Saadatagah, Mohammad, additional, Hess, Molly, additional, Maradik, Molly, additional, Vaitinadin, Nataraja “RJ”, additional, Vaitinadin, Nataraja, additional, Netherly, Neil, additional, Lennon, Niall, additional, Shang, Ning, additional, Limdi, Nita, additional, Forrest, Noah, additional, Romero, Noheli, additional, Robinson, Nora, additional, Abul-Husn, Noura, additional, Elsekaily, Omar, additional, Kovatch, Patricia, additional, Appelbaum, Paul, additional, Francaviglia, Paul, additional, O’Reilly, Paul, additional, Chandler, Paulette, additional, Caraballo, Pedro, additional, Tarczy-Hornoch, Peter, additional, Shum, Pierre, additional, Marathe, Priya, additional, Feng, Qiping, additional, Wells, Quinn, additional, Atchley, Rachel, additional, Narla, Radhika, additional, Barton, Rene, additional, Chisholm, Rex, additional, Sharp, Richard, additional, Peters, Riki, additional, Kukafka, Rita, additional, Freimuth, Robert, additional, Green, Robert, additional, Winter, Robert, additional, Mueller, Roger, additional, Loos, Ruth, additional, Irvin, Ryan, additional, Suckiel, Sabrina, additional, Hussain, Sajjad, additional, Sharba, Samer, additional, Aronson, Sandy, additional, Jones, Sarah, additional, Knerr, Sarah, additional, Nigbur, Scott, additional, Weiss, Scott, additional, Mooney, Sean, additional, Aufox, Sharon, additional, Nirenberg, Sharon, additional, Murphy, Shawn, additional, O’Byrne, Sheila, additional, Wang (Sam) Choi, Shing, additional, Aguilar, Sienna, additional, Bland, S.T., additional, Rodrigues, Stefanie, additional, Ledbetter, Stephanie, additional, Rutledge, Stephanie, additional, Booth, Stuart James, additional, Xian, Su, additional, Trinidad, Susan Brown, additional, Bakken, Suzanne, additional, Manolio, Teri, additional, Mersha, Tesfaye, additional, Chandereng, Thevaa, additional, Ge, Tian, additional, Edwards, Todd, additional, Kaszemacher, Tom, additional, Willis, Valerie, additional, Desai, Vemi, additional, Desai, Vimi, additional, Lorenzi, Virginia, additional, Gainer, Vivian, additional, Chung, Wendy, additional, Su, Wu-Chen, additional, Chang, Xiao, additional, Zhao, Yiqing, additional, Luo, Yuan, additional, and Shen, Yufeng, additional

Published
2023
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18. Ensemble Weighting Strategy for Federated Learning to Handle Heterogeneous Data Distributions.

Author

Richter, Lucas, Dontsov, Ilja, and Jacob, Tania

Subjects
*DATA distribution, *LEARNING strategies, *SMART cities, *CLASSIFICATION algorithms, *DATA security
Abstract

Measured data in the context of smart cities can be used to develop new and innovative business models to improve efficiency and the value of life. A time-series classification algorithm can help automatize many different processes such as forecasting services. In order to ensure data security and privacy, Federated Learning trains a global model collaboratively on multiple clients. Having different data-distributions and data-quantities across participating clients, neural networks suffer from slow convergence and overfitting. Based on different data values and number of clients, different dataclustering strategies have been developed and evaluated in this study to update global model weights. Public time-series data has been downloaded from the Internet to generate various synthetic datasets and train a Relational-Regularized Autoencoder for classification purposes. The results showed an improvement of model performance concerning generalization. [ABSTRACT FROM AUTHOR]

Published
2022

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