Overview
AI inobatsira masangano ezvehutano kuona kubuda kwekutanga, kuenzanisira mafambiro ezvirwere, uye kunanga kupindira muhuwandu hwese kwete varwere vasina murume. Inoshandura masaini akapararira - mibvunzo yekutsvaga, mvura yetsvina, data yekufamba - kuita yambiro inogoneka.
AI muPublic Health uye Epidemiology inoshandisa AI munharaunda-yakananga nharaunda umo mirau, mashandiro, uye kushivirira njodzi kunogadzira zvakanyanya sarudzo dzekugadzira.
Deep Dive
Epidemiology inodzidza maitiro ezvirwere muhuwandu, uye AI inokwirisa izvi nedata masosi echinyakare yekuongorora inoshaikwa. Masisitimu akaita seBlueDot uye HealthMap mine nhau mishumo, matiketi endege, uye mhuka-hutano bulletins kuona kubuda; BlueDot yakaratidza zvine mukurumbira gungano reCCIDID-19 muWuhan mukupera kwaZvita 2019. Munguva yedenda, muchina wekudzidza une simba rekufanotaura modhi, ukuwo genomic AI yakateedzera kusiyana. Kuongorora kwemvura yetsvina iko zvino kunoshandisa manhamba ehuwandu kufungidzira huwandu hwehutachiona hwenharaunda kubva kumasampuli etsvina - kubata spikes nyaya dzekiriniki dzisati dzabuda. AI inotsigirawo 'digital epidemiology,' inoongorora mafambiro efoni asingazivikanwe kuenzanisira kupararira, uye inobatsira kugovera zviwanikwa zvakashomeka semajekiseni. Kubata: maturusi aya anongofanana nedata rawo, uye kutaura kwakarerekera kana kusakwana kunogona kurasisa, sezvakaitwa ne Google Flu Trends zvisina mukurumbira nefuruwenza.
Technical Insight
Mapuratifomu ekuona kubuda-deuka anosanganisa NLP pamusoro penhau dzemitauro yakawanda uye mafeed epamutemo ane anomaly kuonekwa kuti aone masumbu ezvirwere zvisina kujairika. Kufanotaura kunoshandisa nguva-yakatevedzana uye compartmental modhi (SIR/SEIR) dzimwe nguva yakawedzerwa neural network kuti ifungidzire nhamba yekubereka R. Genomic surveillance inoshandisa phylogenetic algorithms uye kubatanidza kune akatevedzana masampuli kuti atarise akasiyana mitsara. Gomba rinodzokororwa ipfungwa yekudonha: masaini ehunhu senge mazwi ekutsvaga anochinja nekufamba kwenguva, saka mamodheru akadzidziswa pamapatani ekare anodzikisira kunze kwekunge agara achidzokororwa.
Kubata AI muHutano Hwevanhu uye Epidemiology
AI inobatsira masangano ezvehutano kuona kubuda kwekutanga, kuenzanisira mafambiro ezvirwere, uye kunanga kupindira muhuwandu hwese kwete varwere vasina murume. Inoshandura masaini akapararira - mibvunzo yekutsvaga, mvura yetsvina, data yekufamba - kuita yambiro inogoneka. AI muPublic Health uye Epidemiology inoshandisa AI munharaunda-yakananga nharaunda umo mirau, mashandiro, uye kushivirira njodzi kunogadzira zvakanyanya sarudzo dzekugadzira. Kuvaka kunzwisisa kwakadzama, kubata AI muPublic Health uye Epidemiology semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, kujekesa fungidziro, uye kupatsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa AI muPublic Health uye Epidemiology inonanisa kugona kwehunyanzvi nedomeni mutemo, kutarisika, uye kumberi kwekuita sarudzo. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Mamiriro eindasitiri anosarudza kana mazano eAI achirarama nekusangana neicho chaicho. Panguva imwecheteyo, Regulatory zvinodiwa zvinogona kusashanda neimwe nzira yakasimba prototypes. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Mamiriro eindasitiri anosarudza kana mazano eAI achirarama nekusangana neicho chaicho.
Mamiriro eindasitiri anosarudza kana mazano eAI achirarama nekusangana neicho chaicho. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Zvisungo zveDomain zvinopesvedzera mwero wezvikanganiso zvinogamuchirika uye mamodheru etarisiro.
Zvisungo zveDomain zvinopesvedzera mwero wezvikanganiso zvinogamuchirika uye mamodheru etarisiro. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Kuendesa kwakabudirira kunonanisa kugona kwehunyanzvi nekumberi kwekufambiswa kwebasa.
Kuendesa kwakabudirira kunonanisa kugona kwehunyanzvi nekumberi kwekufambiswa kwebasa. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
BlueDot's NLP system yakaongorora nhau dzepasirese uye data rendege kuratidza kuri kubuda kweCOVID-19 kubuda muWuhan mazuva pamberi pekuzivisa zviri pamutemo.
Zvirongwa zvekuongorora mvura yetsvina zvinoshandisa zviverengero zvimiro kufungidzira COVID-19 uye poriyo nharaunda inopararira kubva mutsvina nyaya dzekiriniki dzisati dzavhiya.
Genomic surveillance mapaipi (seaya ari kuseri kweNexttrain) anoshandisa phylogenetic algorithms kuteedzera mitsva yeSARS-CoV-2 akasiyana munguva pfupi chaiyo.
Isingazivikanwe mbozha-nhare yekufamba data yakagadziridzwa kufanotaura kuti kuvharika uye mafambiro anokanganisa kutapurirana kwechirwere.
Maitiro Ekuita
AI muPublic Health uye Epidemiology mukuita
BlueDot's NLP system yakaongorora nhau dzepasirese uye data rendege kuratidza kuri kubuda kweCOVID-19 kubuda muWuhan mazuva pamberi pekuzivisa zviri pamutemo.
BlueDot's NLP sisitimu yakaongorora nhau dzepasirese uye data rendege mureza kubuda kweCCIDID-19 muWuhan mazuva asati anyeverwa zviri pamutemo Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura zvikumbaridzo zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
AI muPublic Health uye Epidemiology mukuita
Zvirongwa zvekuongorora mvura yetsvina zvinoshandisa zviverengero zvimiro kufungidzira COVID-19 uye poriyo nharaunda inopararira kubva mutsvina nyaya dzekiriniki dzisati dzavhiya.
Zvirongwa zvekuongorora mvura yetsvina zvinoshandisa manhamba ekuenzanisa COVID-19 uye nharaunda yeporiyo yakapararira kubva mutsvina pamberi pemakiriniki ekuvhiya Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura zvikumbaridzo zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
AI muPublic Health uye Epidemiology mukuita
Genomic surveillance mapaipi (seaya ari kuseri kweNexttrain) anoshandisa phylogenetic algorithms kuteedzera mitsva yeSARS-CoV-2 akasiyana munguva pfupi chaiyo.
Genomic surveillance mapaipi (seaya ari kuseri kweNexttrain) anoshandisa phylogenetic algorithms kuteedzera mitsva yeSARS-CoV-2 mutsauko munguva chaiyo Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
AI muPublic Health uye Epidemiology mukuita
Isingazivikanwe mbozha-nhare yekufamba data yakagadziridzwa kufanotaura kuti kuvharika uye mafambiro anokanganisa kutapurirana kwechirwere.
Isingazivikanwe mbozha-nhare yekufamba data yakagadziridzwa kufanofungidzira kuti kuvharika uye mafambiro anokanganisa kutapurirana kwechirwere Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura hunhu kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
Regulatory zvinodiwa zvinogona kukanganisa zvimwe zvakasimba prototypes.
Nhoroondo yenhoroondo inogona kubatanidza kurerekera kunokuvadza nharaunda dzakati.
Nhaka masisitimu anogona kugadzira mabhodhoro ekubatanidza uye mitengo yakavanzika.
Implementation Roadmap
Batanidza domain nyanzvi kubva pakugadzirisa dambudziko kusvika pakuongorora.
Batanidza domain nyanzvi kubva pakugadzirisa dambudziko kusvika pakuongorora. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Dhizaina nzira dzekuongorora uye zvinyorwa zvisati zvatanga.
Dhizaina nzira dzekuongorora uye zvinyorwa zvisati zvatanga. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Gadzirisa zvisungo zvekuteedzera uye kuchengetedza nekukurumidza.
Gadzirisa zvisungo zvekuteedzera uye kuchengetedza nekukurumidza. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Buritsa muzvikamu zvine kujeka kumira uye kudzoreredza maitiro.
Buritsa muzvikamu zvine kujeka kumira uye kudzoreredza maitiro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.