InayofuataMwongozo unaofuata
AI kwa Upungufu wa Dawa na Mali ya Duka la Dawa
Viwanda
MWONGOZO wa Viwanda
Pharmacovigilance detects, evaluates and prevents suspected harm associated with medicines.
Sikiliza mwongozo huuInaonyeshwa na AI · ~2 min
FDA FAERS and WHO VigiBase contain spontaneous reports; those reports and statistical signals do not establish incidence or causation.
NLP can support extraction of suspected drug-event pairs from text, as demonstrated in a clinical narrative system evaluated in the 2018 n2c2 challenge. UMC describes VigiBase as a WHO database of reported events from health workers, the public and marketing authorisation holders. UMC signal management includes detection, validation, prioritisation, assessment and communication, combining computerized data mining with manual clinical assessment. ICH E2D(R1) minimum ICSR criteria are an event or observation, a suspect/interacting product, an identifiable patient and an identifiable reporter. A report or signal is not proof of causality.
A clinical NLP system can extract medication and adverse-event concepts and relations from narratives; one published n2c2 system was evaluated on that shared task.
MedDRA standardizes medical terms used in safety coding.
Disproportionality analysis screens report databases for drug-event reporting patterns that warrant assessment.
ICH E2D(R1) defines minimum criteria for an individual case safety report, while local rules determine reportability.
Use models as support for extracting, coding or prioritising information, with documented validation and expert assessment. This is a cautious workflow recommendation; the cited sources do not establish that fully automated safety decisions are appropriate.
Jarida halali
Hadithi tatu za AI zilizothibitishwa kila asubuhi ya wiki, zimetengenezwa kwa Kiingereza rahisi. Bila malipo daima, hakuna matangazo.
Barua pepe moja kila siku ya wiki. Jiondoe kwa bonyeza moja. Hatutauza au kushiriki anwani yako.
Jijaribu mwenyewe
Maoni ya haraka juu ya kila jibu, na cheti kinachoweza kushirikishwa na kitambulisho kinachoweza kuthibitishwa baada ya kupita kozi.
Changia elimu ya AI bila malipo. AI Understanding ni 501(c)(3) isiyo na faida — hakuna matangazo, hakuna kizuizi cha malipo, daima. Toa mchango
Pharmacovigilance detects, evaluates and prevents suspected harm associated with medicines. FDA FAERS and WHO VigiBase contain spontaneous reports; those reports and statistical signals do not establish incidence or causation.
Pharmacovigilance ni sayansi ya ufuatiliaji wa dawa kwa athari mbaya na kuchukua hatua ili kuzuia madhara ya mgonjwa, haswa mara dawa zinapokuwa sokoni.
The paper describes a hybrid system for extracting medication and adverse-event concepts and relations from clinical narratives, evaluated in the 2018 n2c2 shared task.
Hatua zisizo na uwiano kama vile michanganyiko ya bendera ya Uwiano wa Kuripoti Uwiano wa dawa na athari ambayo hutokea mara kwa mara bila kutarajiwa, kuashiria suala la usalama linalowezekana.
UMC identifies VigiBase as the WHO global database of reported adverse events. A report is a suspicion and does not by itself confirm causality.
MedDRA ni istilahi sanifu ambayo mifumo ya NLP inachora majibu kwayo, kwa hivyo kesi zinaweza kulinganishwa na kuchambuliwa mfululizo.
Endelea kujifunza
Miongozo zaidi imechaguliwa kwa mada hii
InayofuataMwongozo unaofuata
AI kwa Upungufu wa Dawa na Mali ya Duka la Dawa
Viwanda