Ash Darnell-Fish github: link
IH Lab github: link
dsgelab github: link
jamesliley github: link
fwhiemstra github: link
plyons github: link
niamherrington github: link
Clift AK, Collins GS, Lord S, Petrou S, Dodwell D, Brady M, Hippisley-Cox J. Predicting 10-year breast cancer mortality risk in the general female population in England: a model development and validation study. The Lancet Digital Health. 2023 Sep 1;5(9):e571-81. link, code
Barnes J, Brendel M, Gao VR, Rajendran S, Kim J, Li Q, Malmsten JE, Sierra JT, Zisimopoulos P, Sigaras A, Khosravi P. A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study. The Lancet Digital Health. 2023 Jan 1;5(1):e28-40. link, code
Benjamin-Chung J, Li H, Nguyen A, Barratt Heitmann G, Bennett A, Ntuku H, Prach LM, Tambo M, Wu L, Drakeley C, Gosling R. Extension of efficacy range for targeted malaria-elimination interventions due to spillover effects. Nature medicine. 2024 Oct;30(10):2813-20. link, code
Doudesis D, Lee KK, Boeddinghaus J, Bularga A, Ferry AV, Tuck C, Lowry MT, Lopez-Ayala P, Nestelberger T, Koechlin L, Bernabeu MO. Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations. Nature Medicine. 2023 May;29(5):1201-10. link, code
Vartiainen P, Jukarainen S, Rhedin SA, Prinz A, Hartonen T, Vabalas A, Viippola E, Rodosthenous RS, Koskelainen S, Liu A, Lundholm C. Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model. The Lancet Digital Health. 2023 Nov 1;5(11):e821-30. link, code
Liley J, Bohner G, Emerson SR, Mateen BA, Borland K, Carr D, Heald S, Oduro SD, Ireland J, Moffat K, Porteous R. Development and assessment of a machine learning tool for predicting emergency admission in Scotland. npj Digital Medicine. 2024 Oct 23;7(1):277. link, code
Hiemstra FW, Stenvers DJ, Kalsbeek A, de Jonge E, van Westerloo DJ, Kervezee L. Daily variation in blood glucose levels during continuous enteral nutrition in patients on the intensive care unit: a retrospective observational study. EBioMedicine. 2024 Jun 1;104. link, code
Cotugno N, Pallikkuth S, Sanna M, Dinh V, De Armas L, Rinaldi S, Davis S, Linardos G, Pascucci GR, Pahwa R, Sitoe N. B-cell immunity and vaccine induced antibody protection reveal the inefficacy of current vaccination schedule in infants with perinatal HIV-infection in Mozambique, Africa. EBioMedicine. 2023 Jul 1;93. link, code
Lyons PG, Bhavani SV, Mody A, Bewley A, Dittman K, Doyle A, Windham SL, Patel TM, Raju BN, Keller M, Churpek MM. Hospital trajectories and early predictors of clinical outcomes differ between SARS-CoV-2 and influenza pneumonia. EBioMedicine. 2022 Nov 1;85. link, code
Yarnell CJ, Johnson A, Dam T, Jonkman A, Liu K, Wunsch H, Brochard L, Celi LA, De Grooth HJ, Elbers P, Mehta S. Do thresholds for invasive ventilation in hypoxemic respiratory failure exist? A cohort study. American Journal of Respiratory and Critical Care Medicine. 2023 Feb 1;207(3):271-82. link, code
Errington N, Iremonger J, Pickworth JA, Kariotis S, Rhodes CJ, Rothman AM, Condliffe R, Elliot CA, Kiely DG, Howard LS, Wharton J. A diagnostic miRNA signature for pulmonary arterial hypertension using a consensus machine learning approach. EBioMedicine. 2021 Jul 1;69. link, code
Ward A, Sarraju A, Chung S, Li J, Harrington R, Heidenreich P, Palaniappan L, Scheinker D, Rodriguez F. Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population. NPJ digital medicine. 2020 Sep 23;3(1):125. link, code
Hornstein S, Scharfenberger J, Lueken U, Wundrack R, Hilbert K. Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing. NPJ Digital Medicine. 2024 May 18;7(1):132. link, code
Patel BK, Wolfe KS, Patel SB, Dugan KC, Esbrook CL, Pawlik AJ, Stulberg M, Kemple C, Teele M, Zeleny E, Hedeker D. Effect of early mobilisation on long-term cognitive impairment in critical illness in the USA: a randomised controlled trial. The Lancet Respiratory Medicine. 2023 Jun 1;11(6):563-72. link, code
Faghri F, Brunn F, Dadu A, Chiò A, Calvo A, Moglia C, Canosa A, Manera U, Vasta R, Palumbo F, Bombaci A. Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study. The Lancet Digital Health. 2022 May 1;4(5):e359-69. link, code
Zhai B, Liao C, Jaggavarapu S, Tang Y, Rolling T, Ning Y, Sun T, Bergin SA, Gjonbalaj M, Miranda E, Babady NE. Antifungal heteroresistance causes prophylaxis failure and facilitates breakthrough Candida parapsilosis infections. Nature medicine. 2024 Nov;30(11):3163-72. link, code
https://github.com/ChristosChristofidis/awesome-deep-learning
https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers
https://dsp.stackexchange.com/questions/10267/compressive-sensing-through-matlab-codes
https://github.com/ngcthuong/Reproducible-Deep-Compressive-Sensing
https://xinli.faculty.wvu.edu/reproducible-research/reproducible-research-in-signal-processing