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  Predicting change for individual psychotherapy clients based on their nearest neighbors

  Lutz, W., Leach, C., Barkham, M., Lucock, M., Stiles, W. B., Evans, C., Noble, R. & Iveson, S., Oct 2005, In: Journal of Consulting and Clinical Psychology. 73, 5, p. 904-913 10 p.

  Research output: Contribution to journal › Article › peer-review
  103 Citations (Scopus)

• Predicting community violence from patients discharged from acute mental health units in England

  Doyle, M., Carter, S., Shaw, J. & Dolan, M., 1 Apr 2012, In: Social Psychiatry and Psychiatric Epidemiology. 47, 4, p. 627-637 11 p.

  Research output: Contribution to journal › Article › peer-review
  35 Citations (Scopus)

• Predicting community violence from patients discharged from mental health services

  Doyle, M. & Dolan, M., Dec 2006, In: British Journal of Psychiatry. 189, 6, p. 520-526 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  113 Citations (Scopus)

• Predicting cooperation in competitive conditions: The role of sportspersonship, moral competence, and emotional intelligence

  Perry, J. L. & Clough, P. J., 1 Jul 2017, In: Psychology of Sport and Exercise. 31, p. 88-92 5 p.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• Predicting creditworthiness in retail banking with limited scoring data

  Abdou, H. A., Tsafack, M. D. D., Ntim, C. G. & Baker, R. D., 1 Jul 2016, In: Knowledge-Based Systems. 103, p. 89-103 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  37 Citations (Scopus)

• Predicting Criminality? Risk Factors, Neighbourhood Influence and Desistance

  Webster, C., Macdonald, R. & Simpson, M., 1 Apr 2006, In: Youth Justice. 6, 1, p. 7-22 16 p.

  Research output: Contribution to journal › Article › peer-review
  75 Citations (Scopus)

• Predicting GP visits: A multinomial logistic regression investigating GP visits amongst a cohort of UK patients living with Myalgic encephalomyelitis

  Walsh, R. S., Denovan, A., Drinkwater, K., Reddington, S. & Dagnall, N., 10 Jun 2020, In: BMC Family Practice. 21, 8 p., 105.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  1 Citation (Scopus)

• Predicting human intestinal absorption in the presence of bile salt with micellar liquid chromatography

  Waters, L. J., Shokry, D. S. & Parkes, G. M. B., 1 Oct 2016, In: Biomedical Chromatography. 30, 10, p. 1618-1624 7 p.

  Research output: Contribution to journal › Article › peer-review
  11 Citations (Scopus)

• Predicting intention to uptake H1N1 influenza vaccine in a university sample

  Byrne, C., Walsh, J., Kola, S. & Sarma, K. M., 1 Sep 2012, In: British Journal of Health Psychology. 17, 3, p. 582-595 14 p.

  Research output: Contribution to journal › Article › peer-review
  11 Citations (Scopus)

• Predicting Lift-Off Time When Deep-Frying Potato Dough Snacks

  Babb, T., Benham, G. P., Bows, J., Gonzalez-Farina, R., Kiradjiev, K. B., Lee, W. & Tibos, S., 26 Apr 2021, In: SIAM Journal on Applied Mathematics. 81, 2, p. 574-590 17 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  1 Citation (Scopus)

• Predicting Oil Film performance in a Journal Bearing based on Modulation Signal Bispectrum analysis of Vibration Signals

  Hassin, O., Yao, A., Zhang, H. C., Gu, F. & Ball, A., 1 Jul 2017, In: International Journal of COMADEM. 20, 3, p. 19-24 6 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Predicting Oncotype DX Recurrence Scores using locally available immunohistochemical markers: Experience in a District General Hospital

  Humphris, K., Stephenson, J. & Kumaraswamy, V., 1 Apr 2023, In: Journal of Clinical Pathology. 76, 4, p. 252-255 4 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

• Predicting particle accelerator failures using binary classifiers

  Rescic, M., Seviour, R. & Blokland, W., 1 Mar 2020, In: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 955, 8 p., 163240.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  18 Citations (Scopus)

• Predicting P-Glycoprotein Effects on Oral Absorption: Correlation of Transport in Caco-2 with Drug Pharmacokinetics in Wild-Type and mdr1a(-/-) Mice in Vivo

  Collett, A., Tanianis-Hughes, J., Hallifax, D. & Warhurst, G., May 2004, In: Pharmaceutical Research. 21, 5, p. 819-826 8 p.

  Research output: Contribution to journal › Article › peer-review
  60 Citations (Scopus)

• Predicting phishing websites based on self-structuring neural network

  Mohammad, R. M., Thabtah, F. & McCluskey, L., 21 Nov 2013, In: Neural Computing and Applications. 25, 2, p. 443-458 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  209 Citations (Scopus)

• Predicting plastic deformation and work hardening during V-band formation

  Muller, M., Barrans, S. M. & Blunt, L., 1 Apr 2011, In: Journal of Materials Processing Technology. 211, 4, p. 627-636 10 p.

  Research output: Contribution to journal › Article › peer-review
  20 Citations (Scopus)

• Predicting Post-Discharge Community Violence in England and Wales Using the HCR-20^V3

  Doyle, M., Power, L. A., Coid, J., Kallis, C., Ullrich, S. & Shaw, J., 1 Apr 2014, In: International Journal of Forensic Mental Health. 13, 2, p. 140-147 8 p.

  Research output: Contribution to journal › Article › peer-review
  36 Citations (Scopus)

• Predicting skin permeability using HuskinDB

  Waters, L. & Quah, X. L., 23 Sep 2022, In: Scientific data. 9, 1, 6 p., 584.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  3 Citations (Scopus)

• Predicting stock market performance: The influence of gender and personality on financial decision making

  Plieger, T., Grünhage, T., Duke, É. & Reuter, M., 1 Apr 2021, In: Journal of Individual Differences. 42, 2, p. 64-73 10 p.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• Predicting supply chain risks using machine learning: The trade-off between performance and interpretability

  Baryannis, G., Dani, S. & Antoniou, G., 1 Dec 2019, In: Future Generation Computer Systems. 101, p. 993-1004 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  103 Citations (Scopus)

• Predicting the Dynamic Response of Dual-Rotor System Subject to Interval Parametric Uncertainties Based on the Non-Intrusive Metamodel

  Fu, C., Feng, G., Ma, J., Lu, K., Yang, Y. & Gu, F., 7 May 2020, In: Mathematics. 8, 5, 15 p., 736.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  17 Citations (Scopus)

• Predicting the gastrointestinal behaviour of modified-release products: Utility of a novel dynamic dissolution test apparatus involving the use of bicarbonate buffers

  Merchant, H., Goyanes, A., Parashar, N. & Basit, A. W., 20 Nov 2014, In: International Journal of Pharmaceutics. 475, 1-2, p. 585-591 7 p.

  Research output: Contribution to journal › Article › peer-review
  42 Citations (Scopus)

• Predicting the suitability of microwave formulation using microwave differential thermal analysis (MWDTA)

  Waters, L. J., Ahmad, S. A. & Parkes, G. M. B., 1 Jan 2020, In: Journal of Thermal Analysis and Calorimetry. 139, 1, p. 383-392 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Predicting tumor responses to mitomycin C on the basis of DT-diaphorase activity or drug metabolism by tumor homogenates: implications for enzyme-directed bioreductive drug development

  Phillips, R. M., Burger, A. M., Loadman, P. M., Jarrett, C. M., Swaine, D. J. & Fiebig, H-H., 15 Nov 2000, In: Cancer Research. 60, 22, p. 6384-90 7 p.

  Research output: Contribution to journal › Article › peer-review
  34 Citations (Scopus)

• Predicting visual outcomes in patients treated with aflibercept for neovascular age-related macular degeneration: Data from a real-world clinical setting

  Fulcher, C., Hazel, C. A., Pacey, I., Ali, H. & Ghanchi, F. D., 1 May 2020, In: European Journal of Ophthalmology. 30, 3, p. 543–549 7 p.

  Research output: Contribution to journal › Article › peer-review
  8 Citations (Scopus)

• Prediction and analysis of engine friction power of a diesel engine influenced by engine speed, load, and lubricant viscosity

  Singh, D., Gu, F., Fieldhouse, J. D., Singh, N. & Singal, S. K., 9 Dec 2014, In: Advances in Tribology. 2014, 10 p., 928015.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  14 Citations (Scopus)

• Prediction models for density and viscosity of biodiesel and their effects on fuel supply system in CI engines

  Tesfa, B., Mishra, R., Gu, F. & Powles, N., Dec 2010, In: Renewable Energy. 35, 12, p. 2752-2760 9 p.

  Research output: Contribution to journal › Article › peer-review
  163 Citations (Scopus)

• Prediction of antilock braking system condition with the vehicle stationary using a model-based approach

  Shi, Z., Legate, I., Gu, F., Fieldhouse, J. & Ball, A., Jun 2010, In: International Journal of Automotive Technology. 11, 3, p. 363-373 11 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Prediction of diabetes prescription volumes of various geographies using regression techniques

  Mistry, P., 24 Jan 2023, (E-pub ahead of print) In: Health Informatics Journal. 29, 1, 21 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Prediction of drug-related problems in diabetic outpatients in a number of hospitals, using a modeling approach

  Al-Taani, G. M., Al-Azzam, S. I., Alzoubi, K. H., Elhajji, F. W. D., Scott, M. G., Alfahel, H. & Aldeyab, M. A., 28 Jul 2017, In: Drug, Healthcare and Patient Safety. 9, p. 65-70 6 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  15 Citations (Scopus)

• Prediction of entrained droplet fraction in co-current annular gas–liquid flow in vertical pipes

  Aliyu, A. M., Almabrok, A. A., Baba, Y. D., Archibong, A. E., Lao, L., Yeung, H. & Kim, K. C., 1 Jul 2017, In: Experimental Thermal and Fluid Science. 85, p. 287-304 18 p.

  Research output: Contribution to journal › Article › peer-review
  30 Citations (Scopus)

• Prediction of human intestinal absorption using micellar liquid chromatography with an aminopropyl stationary phase

  Shokry, D. S., Waters, L. J., Parkes, G. M. B. & Mitchell, J. C., 1 Jul 2019, In: Biomedical Chromatography. 33, 7, 8 p., e4515.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  6 Citations (Scopus)

• Prediction of Low-Back Trouble Frequency in a Working Population

  Burton, A. K., Tillotson, K. M. & Troup, J. D. G., 1 Sep 1989, In: Spine. 14, 9, p. 939-946 8 p.

  Research output: Contribution to journal › Article › peer-review
  64 Citations (Scopus)

• Prediction of mechanical properties of rail pads under in-service conditions through machine learning algorithms

  Ferreño, D., Sainz-Aja, J. A., Carrascal, I. A., Cuartas, M., Pombo, J., Casado, J. A. & Diego, S., 1 Jan 2021, In: Advances in Engineering Software. 151, 11 p., 102927.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  20 Citations (Scopus)

• Prediction of Pressure Gradient in Two and Three-Phase Flows in Vertical Pipes Using an Artificial Neural Network Model

  Ribeiro, J. X. F., Liao, R., Aliyu, A. M. & Liu, Z., 1 Jul 2019, In: International Journal of Engineering and Technology Innovation. 9, 3, p. 155-170 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  12 Citations (Scopus)

• Prediction of Preterm Deliveries from EHG Signals Using Machine Learning

  Fergus, P., Cheung, P., Hussain, A., Al-jumeily, D., Dobbins, C., Iram, S. & Wei, Z. (ed.), 28 Oct 2013, In: PLoS One. 8, 10, 16 p., e77154.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  124 Citations (Scopus)

• Prediction of rail corrugation using a rotating flexible wheelset coupled with a flexible track model and a non-Hertzian/non-steady contact model

  Baeza, L., Vila, P., Xie, G. & Iwnicki, S. D., 29 Aug 2011, In: Journal of Sound and Vibration. 330, 18-19, p. 4493-4507 15 p.

  Research output: Contribution to journal › Article › peer-review
  63 Citations (Scopus)

• Prediction of rail damage using a combination of Shakedown Map and wheel-rail contact energy

  Boyacioglu, P. & Bevan, A., 15 Nov 2020, In: Wear. 460-461, 15 p., 203457.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  12 Citations (Scopus)

• Prediction of Surface Topography at the End of Sliding Running-In Wear Based on Areal Surface Parameters

  Lu, W., Zhang, G., Liu, X., Zhou, L., Chen, L. & Jiang, X., 1 May 2014, In: Tribology Transactions. 57, 3, p. 553-560 8 p.

  Research output: Contribution to journal › Article › peer-review
  26 Citations (Scopus)

• Prediction of the Clinical Course of Low-Back Trouble Using Multivariable Models

  Burton, A. K. & Tillotson, K. M., 1 Jan 1991, In: Spine. 16, 1, p. 7-14 8 p.

  Research output: Contribution to journal › Article › peer-review
  49 Citations (Scopus)

• Prediction of the effect of formulation on the toxicity of chemicals

  Mistry, P., Neagu, D., Sanchez-Ruiz, A., Trundle, P. R., Vessey, J. D. & Gosling, J. P., 1 Jan 2017, In: Toxicology Research. 6, 1, p. 42-53 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  1 Citation (Scopus)

• Prediction of track settlement at high-speed railway transitions between embankment and bridge in the proximity of a turnout

  Grossoni, I., Hawksbee, S., Jorge, P., Bezin, Y. & Magalhaes, H., 1 Nov 2022, In: Transportation Geotechnics. 37, 16 p., 100879.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  2 Citations (Scopus)

• Prediction of wheel and rail wear under different contact conditions using artificial neural networks

  Shebani, A. & Iwnicki, S., 15 Jul 2018, In: Wear. 406-407, p. 173-184 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  92 Citations (Scopus)

• Predictive models and abstract argumentation: the case of high-complexity semantics

  Vallati, M., Cerutti, F. & Giacomin, M., 18 Apr 2019, In: Knowledge Engineering Review. 34, p. 1-23 23 p., e6.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  2 Citations (Scopus)

• Predictive Optimization Based Energy Cost Minimization and Energy Sharing Mechanism for Peer-to-Peer Nanogrid Network

  Qayyum, F., Jamil, H., Jamil, F. & Kim, D. H., 7 Mar 2022, In: IEEE Access. 10, p. 23593-23604 12 p., 9718320.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  4 Citations (Scopus)

• Predictive Wheel-rail Management in London Underground: Validation and Verification

  Vickerstaff, A., Bevan, A. & Boyacioglu, P., 1 Apr 2020, In: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 234, 4, p. 393-404 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  3 Citations (Scopus)

• Predictors and Associates of Problem–Reaction–Solution: Statistical Bias, Emotion-Based Reasoning, and Belief in the Paranormal

  Drinkwater, K., Dagnall, N., Denovan, A., Parker, A. & Clough, P., 19 Mar 2018, In: SAGE Open. 8, 1, 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  7 Citations (Scopus)

• Predictors of antidepressant use in the English population: analysis of the Adult Psychiatric Morbidity Survey

  Boyle, S., Murphy, J., Rosato, M., Boduszek, D. & Shevlin, M., 1 Mar 2020, In: Irish Journal of Psychological Medicine. 37, 1, p. 15-23 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  6 Citations (Scopus)

• Predictors of engagement with peer support: analysis of data from a randomised controlled trial of one-to-one peer support for discharge from inpatient psychiatric care

  Sarah, W., Bhattacharya, R., Stephen, B., Faulkner, A., Foster, R., Gibson, S., Goldsmith, L., Harnett, D., Lucock, M., Patel, A., Priebe, S., Repper, J., Rinaldi, M., Sala, A., Simpson, A., Ussher, M. & Gillard, S., 1 Jun 2023, In: International Journal of Social Psychiatry. 69, 4, p. 994-1003 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Predictors of hearing electronic voice phenomena in random noise: Schizotypy, fantasy proneness, and paranormal beliefs

  Drinkwater, K., Denovan, A., Dagnall, N. & Parker, A., 1 Mar 2020, In: Journal of Parapsychology. 84, 1, p. 96-113 18 p.

  Research output: Contribution to journal › Article › peer-review

  7 Citations (Scopus)