Fetching the paper…
Reading the bibliography…
Scoring systems are classification models that only require users to add, subtract and multiply a few meaningful numbers to make a prediction.
Annals of Internal Medicine 77
Light, R.W., Macgregor, M.I., Luchsinger, P.C., Ball, W.C.: Pleural effusions: the diagnostic separation of transudates and exudates · 1972
Earlier work this paper cites.
Surgery, gynecology & obstetrics 139
Ranson, J., Rifkind, K., Roses, D., Fink, S., Eng, K., Spencer, F., et al.: Prognostic signs and the role of operative management in acute pancreatitis · 1974
Earlier work this paper cites.
The Annals of Statistics 6
Schwarz, G.: Estimating the dimension of a model · 1978
Earlier work this paper cites.
American psychologist 34
Dawes, R.M.: The robust beauty of improper linear models in decision making · 1979
Earlier work this paper cites.
Critical Care Medicine 9
Knaus, W.A., Zimmerman, J.E., Wagner, D.P., Draper, E.A., Lawrence, D.E.: APACHE-acute physiology and chronic health evaluation: a physiologically based classification system · 1981
Earlier work this paper cites.
Judgment under uncertainty: Heuristics and biases pp. 211–230 (1982)
Jennings, D., Amabile, T., Ross, L.: Informal covariation assessment: Data-based vs. theory-based judgments · 1982
Earlier work this paper cites.
Critical Care Medicine 12
Le Gall, J.R., Loirat, P., Alperovitch, A., Glaser, P., Granthil, C., Mathieu, D., Mercier, P., Thomas, R., Villers, D.: A simplified acute physiology score for icu patients · 1984
Earlier work this paper cites.
Journal of the Royal Statistical Society. Series A (General) pp. 389–425 (1984)
Miller, A.J.: Selection of subsets of regression variables · 1984
Earlier work this paper cites.
Critical Care Medicine 13
Knaus, W.A., Draper, E.A., Wagner, D.P., Zimmerman, J.E.: APACHE II: a severity of disease classification system · 1985
Earlier work this paper cites.
Machine learning 1
Quinlan, J.R.: Induction of decision trees · 1986
Earlier work this paper cites.
Machine learning 2
Rivest, R.L.: Learning decision lists · 1987
Earlier work this paper cites.
Machine Learning 4
Utgoff, P.E.: Incremental induction of decision trees · 1989
Earlier work this paper cites.
SIAM News 23
Mangasarian, O.L., Wolberg, W.H.: Cancer diagnosis via linear programming · 1990
Earlier work this paper cites.
Chest Journal 100
Knaus, W.A., Wagner, D., Draper, E., Zimmerman, J., Bergner, M., Bastos, P., Sirio, C., Murphy, D., Lotring, T., Damiano, A.: The APACHE III prognostic system. risk prediction of hospital mortality for critically ill hospitalized adults · 1991
Earlier work this paper cites.
Critical Care Medicine 20
Bone, R., Balk, R., Cerra, F., Dellinger, R., Fein, A., Knaus, W., Schein, R., Sibbald, W., Abrams, J., Bernard, G., et al.: American college of chest physicians/society of critical care medicine consensus conference: Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis · 1992
Earlier work this paper cites.
Machine Learning 11
Holte, R.C.: Very simple classification rules perform well on most commonly used datasets · 1993
Earlier work this paper cites.
The Journal of the American Medical Association 270
Le Gall, J.R., Lemeshow, S., Saulnier, F.: A new simplified acute physiology score (SAPS II) based on a european/north american multicenter study · 1993
Earlier work this paper cites.
Morgan kaufmann (1993)
Quinlan, J.R.: C4. 5: programs for machine learning, vol. 1 · 1993
Earlier work this paper cites.
Mental Health, Law and Policy Institute, Department of Psychology, Simon Fraser University and Forensic Psychiatric Services Commission of British Columbia (1995)
Webster, C.D., Eaves, D.: The HCR-20 scheme: The assessment of dangerousness and risk · 1995
Earlier work this paper cites.
Ph.D. thesis, Universität Dortmund (1996)
Sommer, E.: Theory restructuring: A perspective on design and maintenance of knowledge based systems · 1996
Earlier work this paper cites.
Journal of the Royal Statistical Society. Series B (Methodological) pp. 267–288 (1996)
Tibshirani, R.: Regression shrinkage and selection via the lasso · 1996
Earlier work this paper cites.
Courses and Lectures-International Centre for Mechanical Sciences pp. 163–178 (1997)
Bratko, I.: Machine learning: Between accuracy and interpretability · 1997
Earlier work this paper cites.
Journal of computer and system sciences 55
Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting · 1997
Earlier work this paper cites.
Artificial intelligence 97
Kohavi, R., John, G.H.: Wrappers for feature subset selection · 1997
Earlier work this paper cites.
Lancet 350
Wells, P.S., Anderson, D.R., Bormanis, J., Guy, F., Mitchell, M., Gray, L., Clement, C., Robinson, K.S., Lewandowski, B., et al.: Value of assessment of pretest probability of deep-vein thrombosis in clinical management · 1997
Earlier work this paper cites.
In: Selected Papers of Hirotugu Akaike, pp. 199–213. Springer (1998)
Akaike, H.: Information theory and an extension of the maximum likelihood principle · 1998
Earlier work this paper cites.
Wiley, New York (1998)
Vapnik, V.: Statistical Learning Theory · 1998
Earlier work this paper cites.
INFORMS Journal on Computing 11
Bradley, P.S., Fayyad, U.M., Mangasarian, O.L.: Mathematical programming for data mining: formulations and challenges · 1999
Cited alongside, same era.
The Journal of the American Medical Association 284
Antman, E.M., Cohen, M., Bernink, P.J., McCabe, C.H., Horacek, T., Papuchis, G., Mautner, B., Corbalan, R., Radley, D., Braunwald, E.: The TIMI risk score for unstable angina/non–ST elevation MI · 2000
Cited alongside, same era.
Circulation 102
Morrow, D.A., Antman, E.M., Charlesworth, A., Cairns, R., Murphy, S.A., de Lemos, J.A., Giugliano, R.P., McCabe, C.H., Braunwald, E.: TIMI risk score for ST-elevation myocardial infarction: a convenient, bedside, clinical score for risk assessment at presentation an intravenous nPA for treatment of infarcting myocardium early II trial substudy · 2000
Cited alongside, same era.
Thrombosis and Haemostasis 83
Wells, P.S., Anderson, D.R., Rodger, M., Ginsberg, J.S., Kearon, C., Gent, M., Turpie, A., Bormanis, J., Weitz, J., Chamberlain, M., et al.: Derivation of a simple clinical model to categorize patients probability of pulmonary embolism-increasing the models utility with the SimpliRED D-dimer · 2000
Cited alongside, same era.
Mach. Learn. 45
Breiman, L.: Random forests · 2001
Cited alongside, same era.
Statistics Surveys 2
Hesterberg, T., Choi, N.H., Meier, L., Fraley, C.: Least angle and âÂÂ1 penalized regression: A review · 2008
Later among the works it cites.
Knowledge and Information Systems 14
Wu, X., Kumar, V., Quinlan, R., Ghosh, J., Yang, Q., Motoda, H., Mclachlan, G., Ng, A., Liu, B., Yu, P., Zhou, Z.H., Steinbach, M., Hand, D., Steinberg, D.: Top 10 algorithms in data mining · 2008
Later among the works it cites.
Springer Publishing Company (2009)
Andrade, J.T.: Handbook of violence risk assessment and treatment: New approaches for mental health professionals · 2009
Later among the works it cites.
In: Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (2009)
Liu, H., Zhang, J.: Estimation consistency of the group lasso and its applications · 2009
Later among the works it cites.
INFORMS Journal on Computing 22
Carrizosa, E., Martín-Barragán, B., Morales, D.R.: Binarized support vector machines · 2010
Later among the works it cites.
National Institute of Justice, Office of Justice Programs, US Department of Justice (2010)
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
The journal of the American Medical Association 285
Gage, B.F., Waterman, A.D., Shannon, W., Boechler, M., Rich, M.W., Radford, M.J.: Validation of clinical classification schemes for predicting stroke · 2001
Cited alongside, same era.
The Journal of Machine Learning Research 1
Tipping, M.E.: Sparse bayesian learning and the relevance vector machine · 2001
Cited alongside, same era.
Analytica Chimica Acta 446
Xu, L., Zhang, W.J.: Comparison of different methods for variable selection · 2001
Cited alongside, same era.
Rowman & Littlefield (2002)
Consulting, A.: Marine Safety: Tools for Risk-Based Decision Making · 2002
Cited alongside, same era.
IEEE Transactions on Neural Networks 13
Mao, K.: Fast orthogonal forward selection algorithm for feature subset selection · 2002
Cited alongside, same era.
The Journal of Machine Learning Research 3
Bi, J., Bennett, K., Embrechts, M., Breneman, C., Song, M.: Dimensionality reduction via sparse support vector machines · 2003
Cited alongside, same era.
The Journal of Machine Learning Research 3
Guyon, I., Elisseeff, A.: An introduction to variable and feature selection · 2003
Cited alongside, same era.
Cusick, G.R., Courtney, M.E., Havlicek, J., Hess, N.: Crime during the Transition to Adulthood: How Youth Fare as They Leave Out-of-Home Care · 2010
Later among the works it cites.
Journal of statistical software 33
Friedman, J., Hastie, T., Tibshirani, R.: Regularization paths for generalized linear models via coordinate descent · 2010
Later among the works it cites.
Journal of Statistical Software 33
Friedman, J., Hastie, T., Tibshirani, R.: Regularization paths for generalized linear models via coordinate descent · 2010
Later among the works it cites.
Chest 137
Lip, G., Nieuwlaat, R., Pisters, R., Lane, D., Crijns, H.: Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation · 2010
Later among the works it cites.
IEEE Transactions on Signal Processing 58
Mateos, G., Bazerque, J.A., Giannakis, G.B.: Distributed sparse linear regression · 2010
Later among the works it cites.
The Annals of Applied Statistics 5
Bien, J., Tibshirani, R.: Prototype selection for interpretable classification · 2011
Later among the works it cites.
European Journal of Operational Research 213
Carrizosa, E., Martín-Barragán, B., Morales, D.R.: Detecting relevant variables and interactions in supervised classification · 2011
Later among the works it cites.
Journal of Statistical Software 39
Simon, N., Friedman, J., Hastie, T., Tibshirani, R.: Regularization paths for cox’s proportional hazards model via coordinate descent · 2011
Later among the works it cites.
IEEE Transactions on Audio, Speech, and Language Processing 20
Giacobello, D., Christensen, M.G., Murthi, M.N., Jensen, S.H., Moonen, M.: Sparse linear prediction and its applications to speech processing · 2012
Later among the works it cites.
Information Processing Letters 112
Goldberg, N., Eckstein, J.: Sparse weighted voting classifier selection and its linear programming relaxations · 2012
Later among the works it cites.
URL http://CRAN.R-project.org/package=C50
Kuhn, M., Weston, S., code for C5.0 by R. Quinlan, N.C.C.: C50: C5.0 Decision Trees and Rule-Based Models (2012) · 2012
Later among the works it cites.
URL http://CRAN.R-project.org/package=e1071
Meyer, D., Dimitriadou, E., Hornik, K., Weingessel, A., Leisch, F.: e1071: Misc Functions of the Department of Statistics (e1071), TU Wien (2012) · 2012
Later among the works it cites.
URL http://CRAN.R-project.org/package=rpart
Therneau, T., Atkinson, B., Ripley, B.: rpart: Recursive Partitioning (2012) · 2012
Later among the works it cites.
In: Proc. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2012)
Vellido, A., Martín-Guerrero, J.D., Lisboa, P.J.: Making machine learning models interpretable · 2012
Later among the works it cites.
URL http://archive.ics.uci.edu/ml
Bache, K., Lichman, M.: UCI machine learning repository (2013) · 2013
Closest in time.
Tech. rep., Saïd Business School, University of Oxford, UK (2013)
Carrizosa, E., Nogales-Gómez, A., Romero Morales, D.: Strongly agree or strongly disagree?: Rating features in support vector machines · 2013
Closest in time.
Computers & Operations Research 40
Carrizosa, E., Romero Morales, D.: Supervised classification and mathematical optimization · 2013
Closest in time.
U.S. News & Wolrd Report
Flanigan, S., Morse, R.: Methodology: Best business schools rankings (2013) · 2013
Closest in time.
In: Proceedings of AAAI Late Breaking Track (2013)
Letham, B., Rudin, C., McCormick, T.H., Madigan, D.: An interpretable stroke prediction model using rules and bayesian analysis · 2013
Closest in time.
NIJ Journal, National Institute of Justice 271
Ridgeway, G.: The pitfalls of prediction · 2013
Closest in time.
Webster, C.: Risk assessment: Actuarial instruments & structured clinical guides (2013)
2013
Closest in time.