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• Prediction model for mortality after intracranial hemorrhage in patients with leukemia

  Dayyani, F., Mougalian, S. S., Naqvi, K., Shan, J., Ravandi, F., Cortes, J., Weinberg, J., Jabbour, E., Faderl, S., Wierda, W., Thomas, D., O'Brien, S., Pierce, S., Kantarjian, H. & Garcia-Manero, G., Jul 2011, In: American Journal of Hematology. 86, 7, p. 546-549 4 p.

  Research output: Contribution to journal › Article › peer-review
  26 Scopus citations

• Prediction for sustained deep molecular response of BCR-ABL1 levels in patients with chronic myeloid leukemia in chronic phase

  Sasaki, K., Kantarjian, H., O'Brien, S., Ravandi, F., Konopleva, M., Borthakur, G., Garcia-Manero, G., Wierda, W., Daver, N., Ferrajoli, A., Takahashi, K., Jain, P., Rios, M. B., Pierce, S., Jabbour, E. & Cortes, J. E., Mar 15 2018, In: Cancer. 124, 6, p. 1160-1168 9 p.

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

  Open Access
  19 Scopus citations

• Prediction and prevention of type 1 diabetes.

  Morales, A. E., She, J. X. & Schatz, D. A., Aug 2001, In: Current diabetes reports. 1, 1, p. 28-32 5 p.

  Research output: Contribution to journal › Review article › peer-review
  7 Scopus citations

• Prediction and optimization of runoff via ANFIS and GA

  Ghose, D. K., Panda, S. S. & Swain, P. C., Jun 2013, In: AEJ - Alexandria Engineering Journal. 52, 2, p. 209-220 12 p.

  Research output: Contribution to journal › Article › peer-review
  23 Scopus citations

• Predicting Voluntary and Involuntary Readmissions to Forensic Hospitals by Insanity Acquittees in Maryland

  Marshall, D. J., Vitacco, M. J., Read, J. B. & Harway, M., Sep 1 2014, In: Behavioral Sciences and the Law. 32, 5, p. 627-640 14 p.

  Research output: Contribution to journal › Article › peer-review
  15 Scopus citations

• Predicting violence risk and recidivism in female parolees: A state-wide sample

  Britt, J. Y., Patton, C. L., Remaker, D. N., Prell, L. & Vitacco, M. J., Sep 1 2019, In: International Journal of Law and Psychiatry. 66, 101471.

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

• Predicting violence and recidivism in a large sample of males on probation or parole

  Prell, L., Vitacco, M. J. & Zavodny, D., Sep 1 2016, In: International Journal of Law and Psychiatry. 49, p. 107-113 7 p.

  Research output: Contribution to journal › Article › peer-review
  2 Scopus citations

• Predicting violence: nursing diagnosis versus psychiatric diagnosis.

  Lanza, M. L., Kayne, H. L., Pattison, I., Hicks, C. & Islam, S., Oct 1 1994, In: Nursing diagnosis : ND : the official journal of the North American Nursing Diagnosis Association. 5, 4, p. 151-158 8 p.

  Research output: Contribution to journal › Article › peer-review
  1 Scopus citations

• Predicting Unilateral Prostate Cancer Based on Biopsy Features: Implications for Focal Ablative Therapy-Results From the SEARCH Database

  Scales, C. D., Presti, J. C., Kane, C. J., Terris, M. K., Aronson, W. J., Amling, C. L. & Freedland, S. J., Oct 2007, In: Journal of Urology. 178, 4, p. 1249-1252 4 p.

  Research output: Contribution to journal › Article › peer-review
  52 Scopus citations

• Predicting transfusion in shoulder arthroplasty

  Schumer, R. A., Chae, J. S., Markert, R. J., Sprott, D. & Crosby, L. A., Jan 2010, In: Journal of Shoulder and Elbow Surgery. 19, 1, p. 91-96 6 p.

  Research output: Contribution to journal › Article › peer-review
  35 Scopus citations

• Predicting Time From Metastasis to Overall Survival in Castration-Resistant Prostate Cancer: Results From SEARCH

  Moreira, D. M., Howard, L. E., Sourbeer, K. N., Amarasekara, H. S., Chow, L. C., Cockrell, D. C., Pratson, C. L., Hanyok, B. T., Aronson, W. J., Kane, C. J., Terris, M. K., Amling, C. L., Cooperberg, M. R. & Freedland, S. J., Feb 1 2017, In: Clinical Genitourinary Cancer. 15, 1, p. 60-66.e2

  Research output: Contribution to journal › Article › peer-review
  62 Scopus citations

• Predicting the risk of symptomatic radiation-induced lung injury using both the physical and biologic parameters V₃₀ and transforming growth factor β

  Fu, X. L., Huang, H., Bentel, G., Clough, R., Jirtle, R. L., Kong, F. M., Marks, L. B. & Anscher, M. S., Jul 15 2001, In: International Journal of Radiation Oncology Biology Physics. 50, 4, p. 899-908 10 p.

  Research output: Contribution to journal › Article › peer-review
  154 Scopus citations

• Predicting the risk of recurrence after surgery for prostate cancer

  Ebell, M. H., Dec 15 2005, In: American family physician. 72, 12

  Research output: Contribution to journal › Review article › peer-review
  2 Scopus citations

• Predicting the risk of prostate cancer on biopsy

  Ebell, M. H., Sep 15 2005, In: American family physician. 72, 6, p. 1091-1093 3 p.

  Research output: Contribution to journal › Short survey › peer-review

• Predicting the risk of bleeding in patients taking warfarin

  Ebell, M. H., Mar 15 2010, In: American family physician. 81, 6, p. 780-782 3 p.

  Research output: Contribution to journal › Short survey › peer-review
  2 Scopus citations

• Predicting the response to ECT

  McCall, V. & Fink, M., 2005, In: Journal of ECT. 21, 3, p. 137-138 2 p.

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

• Predicting the nursing care needs of children in an inpatient psychiatry unit

  Mabe, P. A. & Read, E. E., 1986, In: Behavioral Residential Treatment. 1, 3, p. 183-198 16 p.

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

• Predicting the Need for Exchange Transfusion in Newborn Infants: A Comparison of Five Methods

  Robertson, A. F., Karp, W. B., Davis, H. C., Zack Catterton, W. & Bunyapen, C., Aug 1983, In: Clinical Pediatrics. 22, 8, p. 533-536 4 p.

  Research output: Contribution to journal › Article › peer-review
  7 Scopus citations

• Predicting the likelihood of successful vaginal birth after cesarean delivery

  Ebell, M. H., Oct 15 2007, In: American family physician. 76, 8, p. 1192-1196 5 p.

  Research output: Contribution to journal › Review article › peer-review
  7 Scopus citations

• Predicting the issuance of COVID-19 stay-at-home orders in Africa: Using machine learning to develop insight for health policy research

  Mansell, J., Lee Rhea, C. & Murray, G. R., Apr 1 2023, In: International Journal of Disaster Risk Reduction. 88, 103598.

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

  Open Access

• Predicting the health-related values and preferences of geriatric patients

  Mold, J. W., Looney, S. W., Viviani, N. J. & Quiggins, P. A., Jan 1 1994, In: Journal of Family Practice. 39, 5, p. 461-467 7 p.

  Research output: Contribution to journal › Article › peer-review
  31 Scopus citations

• Predicting the effectiveness of hydroxyurea in individual sickle cell anemia patients

  Valafar, H., Valafar, F., Darvill, A., Albersheim, P., Kutlar, A., Woods, K. F. & Hardin, J., Feb 2000, In: Artificial Intelligence In Medicine. 18, 2, p. 133-148 16 p.

  Research output: Contribution to journal › Article › peer-review
  20 Scopus citations

• Predicting the duration of the first stage of spontaneous labor using a neural network

  Devoe, L. D., Samuel, S., Prescott, P. & Work, B. A., Jan 1 1996, In: Journal of Maternal-Fetal and Neonatal Medicine. 5, 5, p. 256-261 6 p.

  Research output: Contribution to journal › Article › peer-review
  4 Scopus citations

• Predicting the Availability of Hematopoietic Stem Cell Donors Using Machine Learning

  Li, Y., Masiliune, A., Winstone, D., Gasieniec, L., Wong, P., Lin, H., Pawson, R., Parkes, G. & Hadley, A., Aug 2020, In: Biology of Blood and Marrow Transplantation. 26, 8, p. 1406-1413 8 p.

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

  Open Access
  4 Scopus citations

• Predicting temperature in orthopaedic drilling using back propagation neural network

  Panda, S. S., 2013, Chemical, Civil and Mechanical Engineering Tracks of 3rd Nirma University International Conference on Engineering, NUiCONE 2012. Elsevier Ltd., Vol. 51. p. 676-682 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Scopus citations

• Predicting short-term risk of stroke after TIA

  Ebell, M. H., Sep 15 2006, In: American Family Physician. 74, 6, p. 1001-1002 2 p.

  Research output: Contribution to journal › Article › peer-review
  1 Scopus citations

• Predicting short-term institutional aggression in forensic patients: A multi-trait method for understanding subtypes of aggression

  Vitacco, M. J., Van Rybroek, G. J., Rogstad, J. E., Yahr, L. E., Tomony, J. D. & Saewert, E., Aug 1 2009, In: Law and Human Behavior. 33, 4, p. 308-319 12 p.

  Research output: Contribution to journal › Article › peer-review
  67 Scopus citations

• Predicting rtPA associated ICH in acute stroke [9] (multiple letters)

  Bruno, A., Trouillas, P., Derex, L., Philippeau, F., Niglioghossian, N., Honnorat, J., Hanss, M., French, P., Adeleine, P. & Dechavanne, M., Dec 2004, In: Stroke. 35, 12, p. 2762-2763 2 p.

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

• Predicting rheumatoid arthritis risk in adults with undifferentiated arthritis

  Mochan, E. & Ebell, M. H., May 15 2008, In: American Family Physician. 77, 10, p. 1451-1453 3 p.

  Research output: Contribution to journal › Short survey › peer-review
  6 Scopus citations

• Predicting relapse in schizophrenia: Is BDNF a plausible biological marker?

  Pillai, A. R., Schooler, N. R., Peter, D., Looney, S. W., Goff, D. C., Kopelowicz, A., Lauriello, J., Manschreck, T., Mendelowitz, A., Miller, D. D., Severe, J. B., Wilson, D. R., Ames, D., Bustillo, J., Kane, J. M. & Buckley, P. F., Mar 2018, In: Schizophrenia Research. 193, p. 263-268 6 p.

  Research output: Contribution to journal › Article › peer-review
  14 Scopus citations

• Predicting refractive alterations with hydrogel keratophakia

  Watsky, M. A., McCarey, B. E. & Beekhuis, W. H., 1985, In: Investigative Ophthalmology and Visual Science. 26, 2, p. 240-243 4 p.

  Research output: Contribution to journal › Article › peer-review
  1 Scopus citations

• Predicting progression to type 1 diabetes from ages 3 to 6 in islet autoantibody positive TEDDY children

  The TEDDY study group, May 2019, In: Pediatric Diabetes. 20, 3, p. 263-270 8 p.

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

  Open Access
  21 Scopus citations

• Predicting prognosis in patients with end-stage liver disease

  Ebell, M. H., Nov 15 2006, In: American family physician. 74, 10, p. 1762-1764 3 p.

  Research output: Contribution to journal › Review article › peer-review
  2 Scopus citations

• Predicting prognoses in patients with acute stroke

  Ebell, M. H., Jun 15 2008, In: American Family Physician. 77, 12, p. 1719-1720 2 p.

  Research output: Contribution to journal › Short survey › peer-review
  6 Scopus citations

• Predicting professional examination outcomes: A case of the registered health information administration certification examination

  Condon, J. V. & Barefield, A. C., Dec 1 2016, In: Journal of Allied Health. 45, 4, p. 267-273 7 p.

  Research output: Contribution to journal › Article › peer-review
  1 Scopus citations

• Predicting postoperative pulmonary complications

  Ebell, M. H., Jun 15 2007, In: American Family Physician. 75, 12, p. 1837-1840 4 p.

  Research output: Contribution to journal › Review article › peer-review
  6 Scopus citations

• Predicting post-external beam radiation therapy PSA relapse of prostate cancer using pretreatment MRI

  Fuchsjäger, M. H., Pucar, D., Zelefsky, M. J., Zhang, Z., Mo, Q., Ben-Porat, L. S., Shukla-Dave, A., Wang, L., Reuter, V. E. & Hricak, H., 2010, In: International Journal of Radiation Oncology Biology Physics. 78, 3, p. 743-750 8 p.

  Research output: Contribution to journal › Article › peer-review
  29 Scopus citations

• Predicting pneumonia in adults with respiratory illness

  Ebell, M. H., Aug 15 2007, In: American family physician. 76, 4, p. 560 1 p.

  Research output: Contribution to journal › Review article › peer-review
  23 Scopus citations

• Predicting performance on the american board of internal medicine certifying examination: The effects of resident preparation and other factors

  Crime study group, Oct 1996, In: Academic Medicine. 71, 10, p. s74-s76

  Research output: Contribution to journal › Article › peer-review
  5 Scopus citations

• Predicting outcomes in patients with chronic myeloid leukemia at any time during tyrosine kinase inhibitor therapy

  Quintás-Cardama, A., Choi, S., Kantarjian, H., Jabbour, E., Huang, X. & Cortes, J., Aug 2014, In: Clinical Lymphoma, Myeloma and Leukemia. 14, 4, p. 327-334.e8

  Research output: Contribution to journal › Article › peer-review
  12 Scopus citations

• Predicting outcome of IV thrombolysis-treated ischemic stroke patients: The dragon score

  Bruno, A. & Switzer, J. A., Jul 31 2012, In: Neurology. 79, 5, p. 486-487 2 p.

  Research output: Contribution to journal › Editorial › peer-review
  2 Scopus citations

• Predicting osteoporosis medication receipt in Veterans with a spinal cord injury: A retrospective cohort study

  Weaver, F. M., Le, B., Ray, C., Miskevics, S., Gonzalez, B. & Carbone, L. D., Nov 2 2019, In: Journal of Spinal Cord Medicine. 42, 6, p. 760-767 8 p.

  Research output: Contribution to journal › Article › peer-review
  6 Scopus citations

• Predicting Neuropsychiatric Symptoms of Parkinson’s Disease with Measures of Striatal Dopaminergic Deficiency

  Bishnoi, R., Badir, M. C., Surya, S. & Youssef, N. A., May 2021, In: Current Alzheimer Research. 18, 6, p. 499-504 6 p.

  Research output: Contribution to journal › Article › peer-review
  1 Scopus citations

• Predicting neurologically intact survival after in-hospital cardiac arrest-external validation of the Good Outcome Following Attempted Resuscitation score

  Piscator, E., Göransson, K., Bruchfeld, S., Hammar, U., el Gharbi, S., Ebell, M., Herlitz, J. & Djärv, T., Jul 2018, In: Resuscitation. 128, p. 63-69 7 p.

  Research output: Contribution to journal › Article › peer-review
  24 Scopus citations

• Predicting need for hospitalization in adults with asthma.

  Ebell, M. H., Jan 1 1997, In: The Journal of family practice. 44, 5, p. 440-441 2 p.

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

• Predicting mortality risk in patients with acute exacerbations of heart failure

  Ebell, M. H., Apr 15 2007, In: American family physician. 75, 8, p. 1231-1234 4 p.

  Research output: Contribution to journal › Article › peer-review
  1 Scopus citations

• Predicting mortality risk in patients undergoing bariatric surgery

  Ebell, M. H., Jan 15 2008, In: American family physician. 77, 2, p. 220 1 p.

  Research output: Contribution to journal › Short survey › peer-review
  4 Scopus citations

• Predicting islet cell autoimmunity and type 1 diabetes: An 8-year teddy study progress report

  TEDDY study group, Jun 1 2019, In: Diabetes Care. 42, 6, p. 1051-1060 10 p.

  Research output: Contribution to journal › Article › peer-review
  56 Scopus citations

• Predicting ischemic brain injury after intraoperative cardiac arrest during cardiac surgery using the BIS monitor

  Goodman, P. G., Mehta, A. R. & Castresana, M. R., Dec 2009, In: Journal of Clinical Anesthesia. 21, 8, p. 609-612 4 p.

  Research output: Contribution to journal › Article › peer-review
  11 Scopus citations

• Predicting impaired extinction of traumatic memory and elevated startle

  Nalloor, R., Bunting, K. & Vazdarjanova, A., 2011, In: PloS one. 6, 5, e19760.

  Research output: Contribution to journal › Article › peer-review
  20 Scopus citations