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Individual cancer mortality prediction

Individual cancer mortality prediction
Recurso electrónico / Electronic resource
Registro MARC
Tag12Valor
LDR  00000cam a22000004b 4500
001  MAP20180001154
003  MAP
005  20240410114922.0
008  180111s2017 esp|||| ||| ||spa d
017  ‎$a‎M. 32.620-2017
020  ‎$a‎978-84-9844-665-4
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎6
1001 ‎$0‎MAPA20170015475‎$a‎Shang, Kailan
24510‎$a‎Individual cancer mortality prediction‎$c‎Kailan Shang
260  ‎$a‎Madrid‎$b‎Fundación MAPFRE, Insurance and Social Protection Area‎$c‎D.L. 2017
300  ‎$a‎118 p.‎$c‎24 cm
4900 ‎$a‎Cuadernos de la Fundación‎$v‎222
520  ‎$a‎To improve cancer patients and survivors¿ access to life insurance, it is necessary to evaluate the mortality risk of a cancer patient on an individual basis. Mortality and survivorship prediction based on data can be used to supplement doctor opinion. Detailed information such as age, gender, race, age at diagnosis, cancer type, tumor size, histological information, and received treatment can be used to assess the risk of the patient or survivor. Predictive models can be calibrated to either experience data or doctors¿ estimate, with adjustments for future changes such as medical development.With more accurate underwriting and pricing for individual patients, it could lead to a higher acceptance rate of insurance applications from cancer patients and lower premium rates for applicants with low risk. This report explores cancer mortality term structure and its volatility using diagnostic, medical treatment and demographic information
650 4‎$0‎MAPA20080592059‎$a‎Modelos predictivos
650 4‎$0‎MAPA20080570590‎$a‎Seguro de vida
650 4‎$0‎MAPA20080601522‎$a‎Evaluación de riesgos
650 4‎$0‎MAPA20080562236‎$a‎Enfermedades
650 4‎$0‎MAPA20080540500‎$a‎Cáncer
650 4‎$0‎MAPA20080555306‎$a‎Mortalidad
650 4‎$0‎MAPA20130017037‎$a‎Análisis predictivos
7102 ‎$0‎MAPA20140009312‎$a‎Fundación MAPFRE‎$b‎Área de Seguro y Previsión Social
830 0‎$0‎MAPA20080519452‎$a‎Cuadernos de la Fundacion‎$v‎222
856  ‎$q‎application/pdf‎$w‎1095448‎$y‎Recurso electrónico / Electronic resource
856  ‎$q‎application/epub+zip‎$w‎1095631‎$y‎ePub