Large-scale identification of clinical and genetic predictors of motor progression in patients with newly diagnosed Parkinson's disease: a longitudinal cohort study and validation von Latourelle, Jeanne C, Beste, Michael T, Hadzi, Tiffany C, Miller, Robert E, Oppenheim, Jacob N, Valko, Matthew P, Wuest, Diane M, Church, Bruce W, Khalil, Iya G, Hayete, Boris, Venuto, Charles S

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NeuroBlu, an electronic health record (EHR) trusted research environment (TRE) to support mental healthcare analytics with real-world data von Patel, Rashmi, Wee, Soon Nan, Ramaswamy, Rajagopalan, Thadani, Simran, Tandi, Jesisca, Garg, Ruchir, Calvanese, Nathan, Valko, Matthew, Rush, A John, Rentería, Miguel E, Sarkar, Joydeep, Kollins, Scott H

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5.12 Relationship Between Polypharmacy and Clinical Functioning in Patients With ADHD: A Retrospective Analysis of Real-World Data von Valko, Matthew, Renteria, Miguel, Kollins, Scott

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3.17 The Impact of Executive Functioning Deficit on Illness Severity in Patients With an ADHD Diagnosis: A Real-World Data Study von Palmer, Emily O.C., Guruswamy, Guruprabha, Valko, Matthew, Griffiths, Kira, Patel, Rashmi, Kollins, Scott H.

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Associations of comorbid substance use disorders with clinical outcomes in schizophrenia using electronic health record data von Patel, Rashmi, Chan, Kelly M.Y., Palmer, Emily O.C., Valko, Matthew, Guruswamy, Guruprabha, Ker, Sheryl, Batra, Gunjan, Rentería, Miguel E., Kollins, Scott H.

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IMPACT OF COMORBID CORONARY ARTERY DISEASE AND SEVERE PERIPHERAL ARTERY DISEASE ON MAJOR ADVERSE CARDIOVASCULAR EVENTS von Ting, Windsor, Zhao, Qi, Haskell, Lloyd, Lurie, Fedor, Berger, Jeffrey, Eapen, Zubin, Valko, Matthew, Alas, Veronica, Rich, Kelly, Crivera, Concetta, Schein, Jeff

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Large-scale identification of clinical and genetic predictors of Parkinson’s disease motor progression in newly-diagnosed patients: a longitudinal cohort study and validation von Latourelle, Jeanne C., Beste, Michael T., Hadzi, Tiffany C., Miller, Robert E., Oppenheim, Jacob N., Valko, Matthew P., Wuest, Diane M., Church, Bruce W., Khalil, Iya G., Hayete, Boris, Venuto, Charles S.

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Zipped of the raw 1,081 images in the analysis scaled to 224,224 via linear interprolation von Valko, Matthew

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Instance Segmentation/Object Detection von Valko, Matthew

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Plant material segmentation masks von Valko, Matthew

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Classification Data b. Pencillata and b. Graveleons von Valko, Matthew

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Abstract 150: Machine Learning Methodology Predicts Comorbidities are Associated With Increased Total Healthcare Costs Among Patients With Severe Peripheral Artery Disease von Berger, Jeffrey S, Haskell, Lloyd, Ting, Windsor, Lurie, Fedor, Eapen, Zubin, Valko, Matthew, Alas, Veronica, Rich, Kelly, Crivera, Concetta, Schein, Jeff

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Associations of comorbid substance use disorders with clinical outcomes in schizophrenia using electronic health record data von Patel, Rashmi, Chan, Kelly MY, Palmer, Emily OC, Valko, Matthew, Guruswamy, Guruprabha, Ker, Sheryl, Batra, Gunjan, Rentería, Miguel E, Kollins, Scott H

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Abstract 14448: Machine Learning Methodology Identifies Predictors of a Cardiovascular Composite Measure Among Severe Peripheral Artery Disease Patients von Ting, Windsor, Haskell, Lloyd, Lurie, Fedor, Berger, Jeffrey S, Eapen, Zubin, Valko, Matthew, Alas, Veronica, Rich, Kelly, Crivera, Concetta, Schein, Jeff

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NeuroBlu, an electronic health record (EHR) trusted research environment (TRE) to support mental healthcare analytics with real-world data von Patel, Rashmi, Wee, Soon Nan, Ramaswamy, Rajagopalan, Thadani, Simran, Tandi, Jesisca, Garg, Ruchir, Calvanese, Nathan, Valko, Matthew, Rush, A John, Rentería, Miguel E, Sarkar, Joydeep, Kollins, Scott H

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MDL-motivated compression of GLM ensembles increases interpretability and retains predictive power von Hayete, Boris, Valko, Matthew, Greenfield, Alex, Yan, Raymond

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MDL-motivated compression of GLM ensembles increases interpretability and retains predictive power von Hayete, Boris, Valko, Matthew, Greenfield, Alex, Yan, Raymond

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Is Persistent Motor or Vocal Tic Disorder a Milder Form of Tourette Syndrome? von Claudio‐Campos, Karla, Stevens, Daniel, Koo, Sang‐Wahn, Valko, Alexa, Bienvenu, Oscar Joseph, Budman, Cathy B., Cath, Danielle C., Darrow, Sabrina, Geller, Daniel, Goes, Fernando S., Grados, Marco A., Greenberg, Benjamin D., Greenberg, Erica, Hirschtritt, Matthew E., Illmann, Cornelia, Ivankovic, Franjo, King, Robert A., Knowles, James A., Krasnow, Janice, Lee, Paul C., Lyon, Gholson J., McCracken, James T., Robertson, Mary M., Osiecki, Lisa, Riddle, Mark A., Rouleau, Guy, Sandor, Paul, Nestadt, Gerald, Samuels, Jack, Scharf, Jeremiah M., Mathews, Carol A.

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Drivers of seedling establishment success in dryland restoration efforts von Shackelford, Nancy, Paterno, Gustavo B., Winkler, Daniel E., Erickson, Todd E., Leger, Elizabeth A., Svejcar, Lauren N., Breed, Martin F., Faist, Akasha M., Harrison, Peter A., Curran, Michael F., Guo, Qinfeng, Kirmer, Anita, Law, Darin J., Mganga, Kevin Z., Munson, Seth M., Porensky, Lauren M., Quiroga, R. Emiliano, Török, Péter, Wainwright, Claire E., Abdullahi, Ali, Bahm, Matt A., Ballenger, Elizabeth A., Barger, Nichole, Baughman, Owen W., Becker, Carina, Lucas-Borja, Manuel Esteban, Boyd, Chad S., Burton, Carla M., Burton, Philip J., Calleja, Eman, Carrick, Peter J., Caruana, Alex, Clements, Charlie D., Davies, Kirk W., Deák, Balázs, Drake, Jessica, Dullau, Sandra, Eldridge, Joshua, Espeland, Erin, Farrell, Hannah L., Fick, Stephen E., Garbowski, Magda, de la Riva, Enrique G., Golos, Peter J., Grey, Penelope A., Heydenrych, Barry, Holmes, Patricia M., James, Jeremy J., Jonas-Bratten, Jayne, Kiss, Réka, Kramer, Andrea T., Larson, Julie E., Lorite, Juan, Mayence, C. Ellery, Merino-Martín, Luis, Miglécz, Tamás, Milton, Suanne Jane, Monaco, Thomas A., Montalvo, Arlee M., Navarro-Cano, Jose A., Paschke, Mark W., Peri, Pablo Luis, Pokorny, Monica L., Rinella, Matthew J., Saayman, Nelmarie, Schantz, Merilynn C., Parkhurst, Tina, Seabloom, Eric W., Stuble, Katharine L., Uselman, Shauna M., Valkó, Orsolya, Veblen, Kari, Wilson, Scott, Wong, Megan, Xu, Zhiwei, Suding, Katharine L.

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The International Climate Psychology Collaboration: Climate change-related data collected from 63 countries von Doell, Kimberly C., Pronizius, Ekaterina, Patel, Yash, Berkebile-Wineberg, Michael M., Brick, Cameron, Pei, Yifei, Chakroff, Alek, Vlasceanu, Denisa, Constantino, Sara M., Rathje, Steve, Aglioti, Salvatore Maria, Alvarado-Yepez, Andy J., Apps, Matthew A. J., Awuor, Fonda Jane, Bélanger, Jocelyn J., Bleize, Daniëlle N. M., Boecker, Lea, Borau, Sylvie, Bouguettaya, Ayoub, Brauer, Markus, Brik, Tymofii, Brosch, Tobias, Butalia, Radhika, Chamberlain, Sarah A. E., Chow, Dawn, Cian, Luca, Cohen-Eick, Noa, Contu, Davide, D’Ottone, Silvana, Diel, Kathi, Etienne, Tom W., Farage, Laura, Farias, Ana Rita, Genschow, Oliver, Gjoneska, Biljana, Gkinopoulos, Theofilos, Goldberg, Beth, Grassini, Simone, Gray, Kurt, Grelle, Sonja, Grigoryan, Ani, Gruber, June, Hadar, Britt, Himichi, Toshiyuki, Hine, Donald W., Hofmann, Wilhelm, Huaman-Chulluncuy, Enma T., Ishii, Tatsunori, Jost, John T., Jovanović, Veljko, Kankaanpää, Reeta, Klas, Anna, Kosachenko, Alexandra I., Krosch, Amy R., Leung, Tak Yan, Loschelder, David D., Luo, Yu, Lutz, Annika E., Majer, Johann M., Mascarenhas, Karen Louise, McHugh, Cillian, Meijers, Marijn H. C., Mikus, Nace, Moreau, David, Motoki, Kosuke, Nguyen, Dung Minh, Panasiti, Maria Serena, Paruzel-Czachura, Mariola, Pavlov, Yuri G., Ponizovskiy, Vladimir, Rêgo, Gabriel G., Riano-Moreno, Julian, Richter, Isabell, Röer, Jan Philipp, Rosa-Sullivan, Jahred, Say, Nicolas, Schmitt, Michael T., Schoenegger, Philipp, Scholz, Christin, Schug, Mariah G., Schulreich, Stefan, Shreedhar, Ganga, Spampatti, Tobia, Spasovski, Ognen, Strahm, Noel, Syropoulos, Stylianos, Tinghög, Gustav, Huynh, Luu Duc Toan, Uluğ, Özden Melis, van der Linden, Sander, van Schie, Kevin, van Stekelenburg, Aart, Vintr, Jáchym, Vranka, Marek, Wanguche, Patrick Otuo, Willer, Robb, Wojcik, Adrian Dominik, Zawisza, Magdalena, Żuk, Dawid, Van Bavel, Jay J.

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