Clinical decision support and individualized prediction of survival in colon cancer: Bayesian belief network model

Annals of Surgical Oncology

Volumn 20, Issue 1, 2013, Pages 161-174

  Stojadinovic, Alexander ^a,b,c   Bilchik, Anton ^b,h,i   Smith, David ^d   Eberhardt, John S ^e   Ward, Elizabeth Ben ^e   Nissan, Aviram ^b,f   Johnson, Eric K ^a,b,j   Protic, Mladjan ^b,k   Peoples, George E ^a,b,l   Avital, Itzhak ^a,g   Steele, Scott R ^a,b,j  

^a UNIFORMED SERVICES UNIVERSITY OF THE HEALTH SCIENCES   (United States)

^b United States Military Cancer Institute   (United States)

^c WALTER REED ARMY MEDICAL CENTER   (United States)

^d Division of Biostatistics   (United States)

^e DecisionQ Corporation   (United States)

^f RABIN MEDICAL CENTER   (Israel)

^g Bon Secours Cancer Institute   (United States)

^h UNIVERSITY OF CALIFORNIA   (United States)

ⁱ California Oncology Research Institute   (United States)

^j MADIGAN ARMY MEDICAL CENTER   (United States)

^k UNIVERSITY OF NOVI SAD   (Serbia)

^l BROOKE ARMY MEDICAL CENTER   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; BAYES THEOREM; BAYESIAN BELIEF NETWORK; CANCER GRADING; CANCER MORTALITY; CANCER PROGNOSIS; CANCER REGISTRY; CANCER RISK; CANCER STAGING; CANCER SURVIVAL; CLINICAL ASSESSMENT; CLINICAL DECISION MAKING; CLINICAL DECISION SUPPORT; COHORT ANALYSIS; COLON CANCER; COLON RESECTION; FEMALE; FOLLOW UP; HISTOPATHOLOGY; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; OVERALL SURVIVAL; PREDICTION; PRIMARY TUMOR; RECEIVER OPERATING CHARACTERISTIC; TREATMENT DURATION;

AGE FACTORS; AGED; AGED, 80 AND OVER; AREA UNDER CURVE; BAYES THEOREM; COLONIC NEOPLASMS; DECISION SUPPORT TECHNIQUES; FEMALE; HUMANS; INDIVIDUALIZED MEDICINE; MALE; MIDDLE AGED; NEOPLASM GRADING; NEOPLASM STAGING; ODDS RATIO; ROC CURVE; SURVIVAL ANALYSIS; TIME FACTORS; UNITED STATES;

EID: 84871805567     PISSN: 10689265     EISSN: 15344681     Source Type: Journal    
DOI: 10.1245/s10434-012-2555-4     Document Type: Article

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