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2381“…Fully-generic-in-parameters, our proposed models can even be directly introduced to a broad range of crowd simulation software to replicate navigation decision making of evacuees.…”
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2382por Scheibe, Andrew, Shelly, Shaun, Lambert, Andrew, Schneider, Andrea, Basson, Rudolf, Medeiros, Nelson, Padayachee, Kalvanya, Savva, Helen, Hausler, Harry“…We used the Delphi method to obtain final population size estimates for the mapped wards based on estimates from wisdom of the crowd methods, the literature and programmatic data. …”
Publicado 2017
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2383por Rudan, Igor, Yoshida, Sachiyo, Chan, Kit Yee, Sridhar, Devi, Wazny, Kerri, Nair, Harish, Sheikh, Aziz, Tomlinson, Mark, Lawn, Joy E, Bhutta, Zulfiqar A, Bahl, Rajiv, Chopra, Mickey, Campbell, Harry, El Arifeen, Shams, Black, Robert E, Cousens, Simon“…It is democratic, as it relies on “crowd–sourcing”. It is inclusive, fostering “ownership” of the results by ensuring that various groups invest in the process. …”
Publicado 2017
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2384“…Recently reported success of DL techniques in crowd-sourced QSAR and predictive toxicology competitions has showcased these methods as powerful tools in drug-discovery and toxicology research. …”
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2385por Laso Bayas, Juan Carlos, Lesiv, Myroslava, Waldner, François, Schucknecht, Anne, Duerauer, Martina, See, Linda, Fritz, Steffen, Fraisl, Dilek, Moorthy, Inian, McCallum, Ian, Perger, Christoph, Danylo, Olha, Defourny, Pierre, Gallego, Javier, Gilliams, Sven, Akhtar, Ibrar ul Hassan, Baishya, Swarup Jyoti, Baruah, Mrinal, Bungnamei, Khangsembou, Campos, Alfredo, Changkakati, Trishna, Cipriani, Anna, Das, Krishna, Das, Keemee, Das, Inamani, Davis, Kyle Frankel, Hazarika, Purabi, Johnson, Brian Alan, Malek, Ziga, Molinari, Monia Elisa, Panging, Kripal, Pawe, Chandra Kant, Pérez-Hoyos, Ana, Sahariah, Parag Kumar, Sahariah, Dhrubajyoti, Saikia, Anup, Saikia, Meghna, Schlesinger, Peter, Seidacaru, Elena, Singha, Kuleswar, Wilson, John W“…This data set was used to assess the quality of the crowd as the campaign progressed. The second data set contains 60 expert validations for additional evaluation of the quality of the contributions. …”
Publicado 2017
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2386“…METHODS: An online survey was conducted with a US-based general population sample of 748 participants (aged 18 – 35 years) using Amazon’s Mechanical Turk (an online crowd-sourcing service). Participants completed the following validated measures: the Adverse Childhood Experiences Questionnaire (ACE-Q) as a measure of childhood adversities, the Prodromal Questionnaire (PQ-16) as a measure of psychotic experiences, the Brief Resilience Scale (BRS) measuring level of psychological resilience, the Brief COPE Scale as a measure of predominant coping style, the Multidimensional Scale of Perceived Social Support and the Neighbourhood Cohesion Scale. …”
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2387“…BACKGROUND: Cash and in-kind incentives can improve health outcomes in various settings; however, there is concern that incentives may ‘crowd out’ intrinsic motivation to engage in beneficial behaviors. …”
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2388por Zhou, Jun, Bell, Dane, Nusrat, Sabrina, Hingle, Melanie, Surdeanu, Mihai, Kobourov, Stephen“…Average accuracy was 5 out of 20 correct guesses, where “correct” was defined as a number within 20% of the ground truth. Even a small crowd of 10 individuals achieved an accuracy of 7, exceeding the average individual and expert annotator’s accuracy of 5. …”
Publicado 2018
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2389por Hossain, Puspita, Das Gupta, Rajat, YarZar, Phyoe, Salieu Jalloh, Mohamed, Tasnim, Nishat, Afrin, Ayesha, Naher, Nahitun, Hossain, Md. Tarek, Joarder, Taufique, Ahmed, Syed Masud“…Also, this scenario conditioned them to crowd into a few selected specialties, thereby constraining health system from delivering needed services. …”
Publicado 2019
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2390por Connor, Ryan, Brister, Rodney, Buchmann, Jan P., Deboutte, Ward, Edwards, Rob, Martí-Carreras, Joan, Tisza, Mike, Zalunin, Vadim, Andrade-Martínez, Juan, Cantu, Adrian, D’Amour, Michael, Efremov, Alexandre, Fleischmann, Lydia, Forero-Junco, Laura, Garmaeva, Sanzhima, Giluso, Melissa, Glickman, Cody, Henderson, Margaret, Kellman, Benjamin, Kristensen, David, Leubsdorf, Carl, Levi, Kyle, Levi, Shane, Pakala, Suman, Peddu, Vikas, Ponsero, Alise, Ribeiro, Eldred, Roy, Farrah, Rutter, Lindsay, Saha, Surya, Shakya, Migun, Shean, Ryan, Miller, Matthew, Tully, Benjamin, Turkington, Christopher, Youens-Clark, Ken, Vanmechelen, Bert, Busby, Ben“…Ten teams comprised of over 40 participants from six countries, assembled to create a crowd-sourced set of analysis and processing pipelines for a complex biological data set in a three-day event on the San Diego State University campus starting 9 January 2019. …”
Publicado 2019
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2391por Wazny, Kerri, Arora, Narendra K, Mohapatra, Archisman, Gopalan, Hema S, Das, Manoj K, Nair, MKC, Bavdekar, Sandeep, Rasaily, Reeta, Thavaraj, Vasantha, Roy, Malabika, Shekhar, Chander, Kumar, Rakesh, Katoch, Vishwa M, Rudan, Igor, Black, Robert E, Swaminathan, Soumya“…METHODS: The Child Health and Nutrition Research Initiative (CHNRI) method for research priority setting was employed. Research ideas were crowd-sourced from a network of child health experts from across India; these were refined and consolidated into research options (ROs) which were scored against five weighted criteria to arrive weighted Research Priority Scores (wRPS). …”
Publicado 2019
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2392por Chari, Ajai, Romanus, Dorothy, DasMahapatra, Pronabesh, Hoole, Michael, Lowe, Maria, Curran, Chris, Campbell, Scott, Bell, Jill A.“…Patients with a self‐reported diagnosis of RRMM recruited from PatientsLikeMe, MyelomaCrowd, and Facebook were administered an electronic survey that included questions on demographics and clinical history, treatment experience, economic burden, and standardized patient‐reported outcome measures, including the Treatment Satisfaction Questionnaire for Medication, Eastern Cooperative Oncology Group performance status (ECOG PS) measure, and Work Productivity and Activity Impairment Questionnaire: Specific Health Problem V2.0. …”
Publicado 2019
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2393por Seyednasrollah, Fatemeh, Koestler, Devin C., Wang, Tao, Piccolo, Stephen R., Vega, Roberto, Greiner, Russell, Fuchs, Christiane, Gofer, Eyal, Kumar, Luke, Wolfinger, Russell D., Kanigel Winner, Kimberly, Bare, Chris, Neto, Elias Chaibub, Yu, Thomas, Shen, Liji, Abdallah, Kald, Norman, Thea, Stolovitzky, Gustavo, Soule, Howard R., Sweeney, Christopher J., Ryan, Charles J., Scher, Howard I., Sartor, Oliver, Elo, Laura L., Zhou, Fang Liz, Guinney, Justin, Costello, James C.“…We designed an open-data, crowd-sourced DREAM Challenge for developing models with which to predict early discontinuation of docetaxel treatment. …”
Publicado 2017
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2394por Millard, Tanya, Synnot, Anneliese, Elliott, Julian, Green, Sally, McDonald, Steve, Turner, Tari“…RESULTS: Across the pilot LSRs, search frequency was monthly to three-monthly, with some using tools such as machine learning and Cochrane Crowd to screen searches. Varied approaches were used to communicate updates to readers. …”
Publicado 2019
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2395por Wang, Cheng, Han, Larry, Stein, Gabriella, Day, Suzanne, Bien-Gund, Cedric, Mathews, Allison, Ong, Jason J., Zhao, Pei-Zhen, Wei, Shu-Fang, Walker, Jennifer, Chou, Roger, Lee, Amy, Chen, Angela, Bayus, Barry, Tucker, Joseph D.“…Crowdsourcing is the process of aggregating crowd wisdom to solve a problem. The purpose of this systematic review is to summarize quantitative evidence on crowdsourcing to improve health. …”
Publicado 2020
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2396An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopypor Ali, Sharib, Zhou, Felix, Braden, Barbara, Bailey, Adam, Yang, Suhui, Cheng, Guanju, Zhang, Pengyi, Li, Xiaoqiong, Kayser, Maxime, Soberanis-Mukul, Roger D., Albarqouni, Shadi, Wang, Xiaokang, Wang, Chunqing, Watanabe, Seiryo, Oksuz, Ilkay, Ning, Qingtian, Yang, Shufan, Khan, Mohammad Azam, Gao, Xiaohong W., Realdon, Stefano, Loshchenov, Maxim, Schnabel, Julia A., East, James E., Wagnieres, Georges, Loschenov, Victor B., Grisan, Enrico, Daul, Christian, Blondel, Walter, Rittscher, Jens“…We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step towards understanding the limitations of existing state-of-the-art computer vision methods applied to endoscopy and promoting the development of new approaches suitable for clinical translation. …”
Publicado 2020
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2397“…However, many online medical consultation platforms are struggling to attract and retain patients who are willing to pay, and health care providers on the platform have the additional challenge of standing out in a crowd of physicians who can provide comparable services. …”
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2398“…Considered as simple and inexpensive screening indices, individual characteristics and anthropometric measurements can be measured in a large crowd and may be important surrogate markers for ALAT levels. …”
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2399por Bracko, Oliver, Vinarcsik, Lindsay K., Cruz Hernández, Jean C., Ruiz-Uribe, Nancy E., Haft-Javaherian, Mohammad, Falkenhain, Kaja, Ramanauskaite, Egle M., Ali, Muhammad, Mohapatra, Aditi, Swallow, Madisen A., Njiru, Brendah N., Muse, Victorine, Michelucci, Pietro E., Nishimura, Nozomi, Schaffer, Chris B.“…These results agree with previous reports showing obesity exacerbates AD-related pathology and symptoms in mice. We used a crowd-sourced, citizen science approach to analyze imaging data to determine the impact of the APP/PS1 genotype and a Hfd on capillary stalling and CBF. …”
Publicado 2020
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2400por Chevalier-Cottin, Emma-Pascale, Ashbaugh, Hayley, Brooke, Nicholas, Gavazzi, Gaetan, Santillana, Mauricio, Burlet, Nansa, Tin Tin Htar, Myint“…Novel disease surveillance systems based on information from Internet search engines, mobile phone apps, social media, cloud-based electronic health records, and crowd-sourced systems, contribute to improved awareness of disease burden. …”
Publicado 2020
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