International variation in severe exacerbation rates in patients with severe asthma

- Lee, Tae Yoon, Price, David, Pfeffer, Paul E., Mahboub, Bassam, Perng Steve, Diahn-Warng, Cosio, Borja G., Perez-de-Llano, Luis, Al-Lehebi, Riyad, Larenas-Linnemann, Desiree, Al-Ahmad, Mona, Rhee, Chin Kook, Iwanaga, Takashi, Yadav, Chandra Prakash, Heffler, E, Canonica, GW, Costello, R, Papadopoulos, NG, Papaioannou, AI, Porsbjerg, CM, Torres-Duque, CA, Christoff, GC, Popov, TA, Hew, M, Roy, Rupsa, Peters, M, Gibson, Peter G., Maspero, J, Bergeron, C, Cerda, S, Contreras Contreras, EA, Chen, W, Sadatsafavi, M, Lim, Laura Huey Mein, Wang, Eileen, Wechsler, Michael E., Jackson, David J., Busby, John, Heaney, Liam G.

Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review

- Alalawi, Khalid, Athauda, Rukshan, Chiong, Raymond

Development of risk prediction models for severe periodontitis in a Thai population: statistical and machine learning approaches

- Teza, Htun, Pattanateepapon, Anuchate, Lertpimonchai, Attawood, Vathesatogkit, Prin, McKay, Gareth J., Attia, John, Thakkinstian, Ammarin

Predicting oral cancer survival—Development and validation of an Asia-Pacific nomogram

- Wang, Weilan, Zhang, Qingpeng, Thomson, Peter, Sharma, Dileep, Ramamurthy, Poornima, Choi, Siu-Wai

Slope Unit Extraction and Landslide Susceptibility Prediction Using Multi-scale Segmentation Method

- Chang, Zhilu, Huang, Faming, Jiang, Shuihua, Zhang, Yinlang, Zhou, Chuangbing, Huang, Jinsong

Factors influencing lower extremity amputation outcomes in people with active foot ulceration in regional Australia: a retrospective cohort study

- Tehan, Peta Ellen, Hawes, Morgan Brian, Hurst, Joanne, Sebastian, Mathew, Peterson, Benjamin John, Chuter, Vivienne Helaine

Offsite construction skills prediction: A conceptual model

- Ginigaddara, Buddhini, Perera, Srinath, Feng, Yingbin, Rahnamayiezekavat, Payam

A novel mathematical model for predicting landslide displacement

- Li, S. H., Wu, L. Z., Huang, Jinsong

How long will it take to mitigate this incident for online service systems?

- Wang, Weijing, Chen, Junjie, Xu, Zhangwei, Dang, Yingnong, Zhang, Dongmei, Yang, Lin, Zhang, Hongyu, Zhao, Pu, Qiao, Bo, Kang, Yu, Lin, Qingwei, Rajmohan, Saravanakumar, Gao, Feng

Predicting production-output performance within a complex business environment: from singular to multi-dimensional observations in evaluation

- Liu, Henry J., Love, Peter E. D., Ma, Le, Sing, Michael C. P.

Comparative study of data mining techniques for predicting explosions in coal mines

- Namazi, Samira, Brankovic, Ljiljana, Moghtaderi, Behdad, Zanganeh, Jafar

Predicting the hydrogen release ability of LiBH₄-based mixtures by ensemble machine learning

- Ding, Zhao, Chen, Zhiqian, Ma, Tianyi, Lu, Chang-Tien, Ma, Wenhui, Shaw, Leon

Prediction of on-treatment disability worsening in RRMS with the MAGNIMS score

- Kunchok, Amy, Lechner-Scott, Jeannette, Izquierdo, Guillermo, Grammond, Pierre, Luis Sanchez-Menoyo, Jose, Van Wijmeersch, Bart, Boz, Cavit, Pucci, Eugenio, McCombe, Pamela, Grand'Maison, Francois, Spitaleri, Daniele, Vucic, Steve, Granella, Franco, Hupperts, Raymond, Jokubaitis, V, Sormani, MP, Butzkueven, H, Kalincik, T, Trojano, Maria, Alroughani, Raed, Sola, Patrizia, Ferraro, Diana, Lugaresi, Alessandra, Onofrj, Marco, Ozakbas, Serkan

Risk of secondary progressive multiple sclerosis: a longitudinal study

- Fambiatos, Adam, Jokubaitis, Vilija, Grand'Maison, Francois, Grammond, Pierre, Sola, Patricia, Ferraro, Diana, Alroughani, Raed, Terzi, Murat, Hupperts, Raymond, Boz, Cavit, Lechner-Scott, Jeannette, Pucci, Eugenio, Horakova, Dana, Bergamaschi, Roberto, Van Pesch, V, Ozakbas, S, Granella, F, Turkoglu, R, Iuliano, G, Spitaleri, D, McCombe, P, Solaro, C, Slee, M, Kubala Havrdova, Eva Kubala, Ampapa, R, Soysal, A, Petersen, T, Sanchez-Menoyo, JL, Verheul, F, Prevost, J, Sidhom, Y, Van Wijmeersch, B, Vucic, S, Cristiano, E, Trojano, Maria, Saladino, ML, Deri, N, Barnett, M, Olascoaga, J, Moore, F, Skibina, O, Gray, O, Fragoso, Y, Yamout, B, Shaw, C, Prat, Alexandre, Singhal, B, Shuey, N, Hodgkinson, S, Altintas, A, Al-Harbi, T, Csepany, T, Taylor, B, Hughes, J, Jun, J-K, van der Walt, A, Girard, Marc, Spelman, T, Butzkueven, H, Kalincik, T, Duquette, Pierre, Lugaresi, Alessandra, Izquierdo, Guillermo

A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels

- Norberg, Anna, Abrego, Nerea, Foster, Scott D., Fox, Richard, Franklin, Janet, Godsoe, William, Guisan, Antoine, O'Hara, Bob, Hill, Nicole A., Holt, Robert D., Hui, Francis K.C., Husby, Magne, Blanchet, F. Guillaume, Kalas, John Atle, Renner, Ian, Adler, Frederick R., Anderson, Barbara J., Anttila, Jani, Araujo, Miguel B., Dallas, Tad, Dunson, David, Elith, Jane

An approach for predicting embankment settlement by integrating multi-source information

- Zheng, Dong, Huang, Jin-song, Li, Dian-qing

Identifying key economic indicators influencing tender price index prediction in the building industry: a case study of Ghana

- Ernest, Kissi, Theophilus, Adjei-Kumi, Amoah, Peter, Emmanuel, Boateng Bannor

Lead bioavailability as influenced by its sources, speciation and soil properties

- Yan, Kaihong

Polygenic risk scores for prediction of breast cancer and breast cancer subtypes

- Mavaddat, Nasim, Michailidou, Kyriaki, Dennis, Joe, Lush, Michael, Lee, Andrew, Tyrer, Jonathan P., Chen, Ting-Huei, Wang, Qin, Bolla, Manjeet K., Yang, Xin, Adank, Muriel A., Ahearn, Thomas, Aittomäki, Kristina, Allen, Jamie, Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Arndt, Volker, Aronson, Kristan J., Scott, Rodney J., Auer, Paul L., Auvinen, P, Barrdahl, M, Beane Freeman, LE, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bernstein, L, Blomqvist, C, Bogdanova, NV, Bojesen, SE, Bonanni, B, Børresen-Dale, AL, Brauch, H, Bremer, M, Brenner, H, Brentnall, A, Brock, IW, Brooks-Wilson, A, Fachal, Laura, Brucker, SY, Brüning, T, Burwinkel, B, Campa, D, Carter, BD, Castelao, JE, Chanock, SJ, Chlebowski, R, Christiansen, H, Clarke, CL, Collée, JM, Cordina-Duverger, E, Cornelissen, S, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dörk, T, dos-Santos-Silva, I, Dumont, M, Durcan, L, Dwek, M, Eccles, DM, Ekici, AB, Eliassen, AH, Ellberg, C, Engel, C, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Fletcher, O, Flyger, H, Försti, A, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Gapstur, SM, García-Sáenz, JA, Gaudet, MM, Georgoulias, V, Giles, GG, Gilyazova, IR, Glendon, G, Goldberg, MS, Goldgar, DE, González-Neira, A, Grenaker Alnæs, GI, Grip, M, Gronwald, J, Grundy, A, Guénel, P, Haeberle, L, Hahnen, E, Haiman, CA, Håkansson, N, Hamann, U, Hankinson, SE

Predicting the Level of Safety Performance Using an Artificial Neural Network

- Boateng, Emmanuel Bannor, Pillay, Manikam, Davis, Peter