Andrew J King, Lu Tang, Billie S Davis, Sarah M Preum, Leigh A Bukowski, John Zimmerman, Jeremy M Kahn. Machine learning-based prediction of low-value care for hospitalized patients.Intelligence-based medicine. 2023, 8:
Ruixue Lian, Vivian Hsiao, Juwon Hwang, Yue Ou, Sarah E Robbins, Nadine P Connor, Cameron L Macdonald, Rebecca S Sippel, William A Sethares, David F Schneider. Predicting health-related quality of life change using natural language processing in thyroid cancer.Intelligence-based medicine. 2023, 7:
Iben M Ricket, Michael E Matheny, Todd A MacKenzie, Jennifer A Emond, Kusum L Ailawadi, Jeremiah R Brown. Novel integration of governmental data sources using machine learning to identify super-utilization among U.S. counties.Intelligence-based medicine. 2023, 7:
Babak Afshin-Pour, Michael Qiu, Shahrzad Hosseini Vajargah, Helen Cheyne, Kevin Ha, Molly Stewart, Jan Horsky, Rachel Aviv, Nasen Zhang, Mangala Narasimhan, John Chelico, Gabriel Musso, Negin Hajizadeh. Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning.Intelligence-based medicine. 2023, 7: 100087
Diego A Hipolito Canario, Eric Fromke, Matthew A Patetta, Mohamed T Eltilib, Juan P Reyes-Gonzalez, Georgina Cornelio Rodriguez, Valeria A Fusco Cornejo, Seymour Dunckner, Jessica K Stewart. Using artificial intelligence to risk stratify COVID-19 patients based on chest X-ray findings.Intelligence-based medicine. 2022, 6: 100049
Nicholas Deveau, Peter Washington, Emilie Leblanc, Arman Husic, Kaitlyn Dunlap, Yordan Penev, Aaron Kline, Onur Cezmi Mutlu, Dennis P Wall. Machine learning models using mobile game play accurately classify children with autism.Intelligence-based medicine. 2022, 6: 100057
Ghadeer O Ghosheh, Bana Alamad, Kai-Wen Yang, Faisil Syed, Nasir Hayat, Imran Iqbal, Fatima Al Kindi, Sara Al Junaibi, Maha Al Safi, Raghib Ali, Walid Zaher, Mariam Al Harbi, Farah E Shamout. Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic.Intelligence-based medicine. 2022, 6: 100065
J M Smit, J H Krijthe, H Endeman, A N Tintu, Y B de Rijke, D A M P J Gommers, O L Cremer, R J Bosman, S Rigter, E-J Wils, T Frenzel, D A Dongelmans, R De Jong, M A A Peters, M J A Kamps, D Ramnarain, R Nowitzky, F G C A Nooteboom, W De Ruijter, L C Urlings-Strop, E G M Smit, D J Mehagnoul-Schipper, T Dormans, C P C De Jager, S H A Hendriks, S Achterberg, E Oostdijk, A C Reidinga, B Festen-Spanjer, G B Brunnekreef, A D Cornet, W Van den Tempel, A D Boelens, P Koetsier, J A Lens, H J Faber, A Kara. Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study.Intelligence-based medicine. 2022, 6: 100071
Peter Washington, Brianna Chrisman, Emilie Leblanc, Kaitlyn Dunlap, Aaron Kline, Cezmi Mutlu, Nate Stockham, Kelley Paskov, Dennis Paul Wall. Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections.Intelligence-based medicine. 2022, 6: None
Alauddin Bhuiyan, Arun Govindaiah, Avnish Deobhakta, Mohd Hossain, Richard Rosen, Theodore Smith. Automated diabetic retinopathy screening for primary care settings using deep learning.Intelligence-based medicine. 2021, 5:
Sean A P Clouston, Minos Kritikos, Yael Deri, Megan Horton, Alison C Pellecchia, Stephanie Santiago-Michels, Melissa A Carr, Sam Gandy, Mary Sano, Evelyn J Bromet, Roberto G Lucchini, Benjamin J Luft. A cortical thinning signature to identify World Trade Center responders with possible dementia.Intelligence-based medicine. 2021, 5:
Jose Francisco Hernández Santa Cruz. An ensemble approach for multi-stage transfer learning models for COVID-19 detection from chest CT scans.Intelligence-based medicine. 2021, 5: 100027
Louis Ehwerhemuepha, Sidy Danioko, Shiva Verma, Rachel Marano, William Feaster, Sharief Taraman, Tatiana Moreno, Jianwei Zheng, Ehsan Yaghmaei, Anthony Chang. A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions.Intelligence-based medicine. 2021, 5: 100030
Adeyinka P Adedigba, Steve A Adeshina, Oluwatomisin E Aina, Abiodun M Aibinu. Optimal hyperparameter selection of deep learning models for COVID-19 chest X-ray classification.Intelligence-based medicine. 2021, 5: 100034