infectious_diseases (fungus)

literal strings: INFECTIOUS DISEASES, Infectious diseases, infectious diseases, Infectious Diseases

categories

NELL has only weak evidence for items listed in grey

• fungus
• SEAL @235 (50.0%) on 15-apr-2011 [ 1 ] using infectious_diseases

relations

NELL has only weak evidence for items listed in grey

• academicfieldusedinjobposition
• physician
• CPL @1115 (50.0%) on 27-aug-2018 [ "arg2 and Honorary Consultant arg1" ] using (physician, infectious_diseases)
• inverseofacademicfieldsuchasacademicfield
• physiology
• CPL @1104 (50.0%) on 18-mar-2018 [ "arg2 and cellular and molecular arg1" ] using (physiology, infectious_diseases)
• inverseofanimaldevelopdisease
• children
• CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 and adolescents with arg2" "arg1 vaccinated against arg2" "arg1 from vaccine preventable arg2" "arg1 and adults with arg2" "arg1 and teens with arg2" "arg1 are immunized against arg2" "arg1 be vaccinated against arg2" "arg1 immunized for arg2" "arg1 were vaccinated against arg2" "arg1 and adolescents with complex arg2" "arg1 against common childhood arg2" "arg1 from getting serious arg2" "arg1 were inoculated against arg2" "arg1 to be vaccinated against arg2" "arg1 immunised against arg2" "arg1 are routinely vaccinated against arg2" "arg1 inoculated against arg2" "arg1 are at risk for contracting arg2" ] using (children, infectious_diseases)
• animals
• CPL @1095 (100.0%) on 17-jan-2018 [ "arg2 in humans and domestic arg1" "arg2 common to humans and arg1" "arg2 affecting humans and arg1" "arg2 that can spread from arg1" "arg2 of other companion arg1" "arg2 that affect both humans and arg1" "arg2 of humans and domestic arg1" "arg2 transmissible from arg1" "arg2 that can be transmitted from arg1" "arg2 that are transmissible from arg1" "arg2 transmissible between arg1" "arg2 affecting human and arg1" "arg2 in livestock and companion arg1" "arg2 that can pass from arg1" "arg2 that can be spread from arg1" "arg2 when handling or processing arg1" "arg2 in humans come from arg1" "arg2 affecting plants and arg1" ] using (animals, infectious_diseases)
• dog
• CPL @1107 (75.0%) on 24-may-2018 [ "arg1 is vaccinated against arg2" "arg1 vaccinated against arg2" ] using (dog, infectious_diseases)
• pets
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 vaccinated against arg2" ] using (pets, infectious_diseases)
• inverseofanimalsuchasinvertebrate
• beetles
• CPL @1103 (50.0%) on 06-mar-2018 [ "arg1 and arboreal arg2" ] using (beetles, infectious_diseases)
• inverseofbacteriaisthecausativeagentofphysiologicalcondition
• chlamydia
• CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 and other sexually transmitted arg2" ] using (chlamydia, infectious_diseases)
• e__coli
• CPL @1116 (75.0%) on 06-sep-2018 [ "arg2 such as staphylococcus and arg1" "arg2 caused by bacteria such as arg1" ] using (e__coli, infectious_diseases)
• hepatitis_c
• CPL @1095 (75.0%) on 17-jan-2018 [ "arg2 including HIV and arg1" "arg2 such as HIV and arg1" ] using (hepatitis_c, infectious_diseases)
• hepatitis_c_virus
• CPL @1098 (50.0%) on 21-jan-2018 [ "arg2 such as HIV and arg1" ] using (hepatitis_c_virus, infectious_diseases)
• salmonella
• CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 such as Cryptosporidium and arg1" "arg2 caused by bacteria such as arg1" ] using (salmonella, infectious_diseases)
• west_nile_virus
• CPL @1096 (75.0%) on 18-jan-2018 [ "arg2 such as AIDS or arg1" "arg2 like SARS and arg1" ] using (west_nile_virus, infectious_diseases)
• inverseoffooddecreasestheriskofdisease
• breast
• CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 cancer and other arg2" ] using (breast, infectious_diseases)
• bodypartwithinbodypart
• system
• CPL @1096 (75.0%) on 18-jan-2018 [ "arg2 and central nervous arg1" "arg2 and the nervous arg1" ] using (system, infectious_diseases)
• system001
• CPL @1096 (75.0%) on 18-jan-2018 [ "arg2 and central nervous arg1" "arg2 and the nervous arg1" ] using (system, infectious_diseases)
• inverseoffooddecreasestheriskofdisease
• heart
• CPL @1097 (96.9%) on 19-jan-2018 [ "arg1 disease than from arg2" "arg1 diseases and certain arg2" "arg1 disease and arg2" "arg1 failure and other arg2" "arg1 disease to cancer to arg2" ] using (heart, infectious_diseases)